{"components":[{"slug":"prime-agent","name":"Prime Agent","summary":"Prime Agent is an MIT-licensed open-source coding and research agent from Prime Intellect, built around a Recursive Language Model (RLM) runtime and a persistent IPython control environment. 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Documentation is available.","sources":[],"evidence":"observed"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[{"kind":"human","label":"Compendium resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-08-06-primeintellect-prime-agent.md\nPrime Agent is an MIT-licensed open-source coding and research agent from Prime Intellect, built around a Recursive Language Model (RLM) runtime and a persistent IPython control environment. The model works through programmatic Python: file/shell operations, data transforms, skills, context management, and recursive subagents are all callable from the durable kernel rather than exposed as a large fixed tool palette.","at":"2026-08-06T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"local daemon/supervisor, persistent session workers, JSONL transcripts/artifacts, direct agent-to-agent messages, scheduled prompts, heartbeats, persistent goals, bounded autonomous continuatio","at":"2026-08-06T00:00:00.000Z"}],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0,"contribution":0,"why":"No MCP surface is declared. No API is declared. Cost is unknown. 0 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.22849520230941842,"contribution":0.031989328323318585,"why":"2 sources cover 1 evidence types. The latest dated evidence is 2026-08-06. Freshness is omitted unless observed as a signal.","sources":[{"kind":"human","label":"Compendium resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-08-06-primeintellect-prime-agent.md\nPrime Agent is an MIT-licensed open-source coding and research agent from Prime Intellect, built around a Recursive Language Model (RLM) runtime and a persistent IPython control environment. The model works through programmatic Python: file/shell operations, data transforms, skills, context management, and recursive subagents are all callable from the durable kernel rather than exposed as a large fixed tool palette.","at":"2026-08-06T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"local daemon/supervisor, persistent session workers, JSONL transcripts/artifacts, direct agent-to-agent messages, scheduled prompts, heartbeats, persistent goals, bounded autonomous continuatio","at":"2026-08-06T00:00:00.000Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":9},{"slug":"atomic-agent","name":"Atomic Agent","summary":"Local-first AI agent whose control loop and all state run on the machine. Drives browser, files, approved shell, documents, memory across sessions, scheduled tasks, and MCP tools. Default path is llama.cpp (their TurboQuant fork) so small quantized models stay useful for long multi-step work on consumer hardware.","kind":"agent","homepage":"https://atomicagent.io","repoUrl":"https://github.com/AtomicBot-ai/atomic-agent","publisher":"","license":"MIT","hasMcp":false,"hasApi":false,"costRange":"unknown","composabilityRationale":"","functions":["browser","memory","connect","tool-call"],"functionProbabilities":[{"functionId":"browser","value":0.8,"source":"06 Knowledge Library/Resources/coding/2026-07-23-atomic-agent-local-first.md","method":"lexical","observedAt":"2026-07-23T00:00:00.000Z"},{"functionId":"memory","value":0.8,"source":"06 Knowledge Library/Resources/coding/2026-07-23-atomic-agent-local-first.md","method":"lexical","observedAt":"2026-07-23T00:00:00.000Z"},{"functionId":"connect","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-07-23-atomic-agent-local-first.md","method":"lexical","observedAt":"2026-07-23T00:00:00.000Z"},{"functionId":"tool-call","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-07-23-atomic-agent-local-first.md","method":"lexical","observedAt":"2026-07-23T00:00:00.000Z"}],"slices":[{"functionId":"browser","label":"Browser","note":"Local-first AI agent whose control loop and all state run on the machine. Drives browser, files, approved shell, documents, memory across sessions, scheduled tasks, and MCP tools. Default path is llama.cpp (their TurboQuant fork) so small quantized models stay useful for long multi-step work on consumer hardware.","cost":"unknown"},{"functionId":"memory","label":"Memory","note":"Local-first AI agent whose control loop and all state run on the machine. Drives browser, files, approved shell, documents, memory across sessions, scheduled tasks, and MCP tools. Default path is llama.cpp (their TurboQuant fork) so small quantized models stay useful for long multi-step work on consumer hardware.","cost":"unknown"},{"functionId":"connect","label":"Connect","note":"Local-first AI agent whose control loop and all state run on the machine. Drives browser, files, approved shell, documents, memory across sessions, scheduled tasks, and MCP tools. Default path is llama.cpp (their TurboQuant fork) so small quantized models stay useful for long multi-step work on consumer hardware.","cost":"unknown"},{"functionId":"tool-call","label":"Tool-call","note":"Local-first AI agent whose control loop and all state run on the machine. Drives browser, files, approved shell, documents, memory across sessions, scheduled tasks, and MCP tools. Default path is llama.cpp (their TurboQuant fork) so small quantized models stay useful for long multi-step work on consumer hardware.","cost":"unknown"}],"tweets":[],"sources":[{"kind":"human","label":"Compendium resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-07-23-atomic-agent-local-first.md\nLocal-first AI agent whose control loop and all state run on the machine. Drives browser, files, approved shell, documents, memory across sessions, scheduled tasks, and MCP tools. Default path is llama.cpp (their TurboQuant fork) so small quantized models stay useful for long multi-step work on consumer hardware.","at":"2026-07-23T00:00:00.000Z"}],"interfaces":[],"origin":"seed","notes":[],"createdAt":"2026-07-23T00:00:00.000Z","updatedAt":"2026-07-23T00:00:00.000Z","stagingSeed":"leyline-0.3.0-staging","recordId":"cmp_atomic-agent","claims":{"name":"Atomic Agent","summary":"Local-first AI agent whose control loop and all state run on the machine. Drives browser, files, approved shell, documents, memory across sessions, scheduled tasks, and MCP tools. Default path is llama.cpp (their TurboQuant fork) so small quantized models stay useful for long multi-step work on consumer hardware.","kind":"agent","publisher":"","homepage":"https://atomicagent.io","repoUrl":"https://github.com/AtomicBot-ai/atomic-agent","license":"MIT","costRange":"unknown","functions":["browser","memory","connect","tool-call"],"slices":[{"functionId":"browser","label":"Browser","note":"Local-first AI agent whose control loop and all state run on the machine. Drives browser, files, approved shell, documents, memory across sessions, scheduled tasks, and MCP tools. Default path is llama.cpp (their TurboQuant fork) so small quantized models stay useful for long multi-step work on consumer hardware.","cost":"unknown"},{"functionId":"memory","label":"Memory","note":"Local-first AI agent whose control loop and all state run on the machine. Drives browser, files, approved shell, documents, memory across sessions, scheduled tasks, and MCP tools. Default path is llama.cpp (their TurboQuant fork) so small quantized models stay useful for long multi-step work on consumer hardware.","cost":"unknown"},{"functionId":"connect","label":"Connect","note":"Local-first AI agent whose control loop and all state run on the machine. Drives browser, files, approved shell, documents, memory across sessions, scheduled tasks, and MCP tools. Default path is llama.cpp (their TurboQuant fork) so small quantized models stay useful for long multi-step work on consumer hardware.","cost":"unknown"},{"functionId":"tool-call","label":"Tool-call","note":"Local-first AI agent whose control loop and all state run on the machine. Drives browser, files, approved shell, documents, memory across sessions, scheduled tasks, and MCP tools. Default path is llama.cpp (their TurboQuant fork) so small quantized models stay useful for long multi-step work on consumer hardware.","cost":"unknown"}],"interfaces":[],"composabilityRationale":""},"relations":[{"from":"atomic-agent","to":"vellum-assistant","kind":"alternative-to","note":"Shared functions browser, memory, tool-call. Same kind and overlapping capability."},{"from":"atomic-agent","to":"agentmemory","kind":"fills-same-slot-as","note":"Shared functions connect, memory. Can fill the same function slot."},{"from":"atomic-agent","to":"monetization-gateway","kind":"fills-same-slot-as","note":"Shared functions connect, tool-call. Can fill the same function slot."},{"from":"atomic-agent","to":"openship","kind":"fills-same-slot-as","note":"Shared functions connect, tool-call. Can fill the same function slot."},{"from":"atomic-agent","to":"slack-enterprise-search","kind":"fills-same-slot-as","note":"Shared functions browser, memory, tool-call. Can fill the same function slot."},{"from":"atomic-agent","to":"maple","kind":"fills-same-slot-as","note":"Shared functions browser, connect. Can fill the same function slot."},{"from":"atomic-agent","to":"comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","kind":"fills-same-slot-as","note":"Shared functions connect, memory. Can fill the same function slot."},{"from":"atomic-agent","to":"best-code-execution-sandbox-for-ai-agents-in-2026","kind":"fills-same-slot-as","note":"Shared functions browser, memory. Can fill the same function slot."}],"signals":[{"key":"has_license","value":1,"source":"component-record","method":"declared-license","observedAt":"2026-07-23T00:00:00.000Z"}],"claimVerification":[],"explain":{"score":5,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"value":0.15,"contribution":0.027,"why":"A licence is declared.","sources":[],"evidence":"observed"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[{"kind":"human","label":"Compendium resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-07-23-atomic-agent-local-first.md\nLocal-first AI agent whose control loop and all state run on the machine. Drives browser, files, approved shell, documents, memory across sessions, scheduled tasks, and MCP tools. Default path is llama.cpp (their TurboQuant fork) so small quantized models stay useful for long multi-step work on consumer hardware.","at":"2026-07-23T00:00:00.000Z"}],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0,"contribution":0,"why":"No MCP surface is declared. No API is declared. Cost is unknown. 0 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is 2026-07-23. Freshness is omitted unless observed as a signal.","sources":[{"kind":"human","label":"Compendium resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-07-23-atomic-agent-local-first.md\nLocal-first AI agent whose control loop and all state run on the machine. Drives browser, files, approved shell, documents, memory across sessions, scheduled tasks, and MCP tools. Default path is llama.cpp (their TurboQuant fork) so small quantized models stay useful for long multi-step work on consumer hardware.","at":"2026-07-23T00:00:00.000Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":5},{"slug":"comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","name":"Comparing AI agent sandbox platforms: E2B, Modal, Daytona, and more","summary":"* Start Monitoring for Free","publisher":"blog.logrocket.com","homepage":"https://blog.logrocket.com/comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","kind":"harness","hasApi":true,"hasMcp":true,"costRange":"usage","costNotes":"Cost range usage taken from intake evidence.","functions":["code","memory","connect","deploy","evaluate","monitor","payment"],"slices":[{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"memory","label":"memory","note":"Inferred from executor","cost":"Unknown"},{"functionId":"connect","label":"connect","note":"Inferred from executor","cost":"Unknown"},{"functionId":"deploy","label":"deploy","note":"Inferred from executor","cost":"Unknown"},{"functionId":"evaluate","label":"evaluate","note":"Inferred from executor","cost":"Unknown"},{"functionId":"monitor","label":"monitor","note":"Inferred from executor","cost":"Unknown"},{"functionId":"payment","label":"payment","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"http"}],"composabilityRationale":"Heuristic from executor evidence. Grok pass was unavailable or incomplete. No usage metrics were observed.","signals":[],"functionProbabilities":[{"functionId":"code","value":0.8,"source":"https://blog.logrocket.com/comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","method":"lexical","observedAt":"2026-10-17T08:35:32.651Z"},{"functionId":"memory","value":0.8,"source":"https://blog.logrocket.com/comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","method":"lexical","observedAt":"2026-10-17T08:35:32.651Z"},{"functionId":"connect","value":0.72,"source":"https://blog.logrocket.com/comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","method":"lexical","observedAt":"2026-10-17T08:35:32.651Z"},{"functionId":"deploy","value":0.72,"source":"https://blog.logrocket.com/comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","method":"lexical","observedAt":"2026-10-17T08:35:32.651Z"},{"functionId":"evaluate","value":0.72,"source":"https://blog.logrocket.com/comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","method":"lexical","observedAt":"2026-10-17T08:35:32.651Z"},{"functionId":"monitor","value":0.72,"source":"https://blog.logrocket.com/comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","method":"lexical","observedAt":"2026-10-17T08:35:32.651Z"},{"functionId":"payment","value":0.72,"source":"https://blog.logrocket.com/comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","method":"lexical","observedAt":"2026-10-17T08:35:32.651Z"}],"claimVerification":[{"key":"mcp","status":"unverified","asserted":"true","evidenceSource":"https://blog.logrocket.com/comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","method":"fallback"},{"key":"api","status":"unverified","asserted":"true","evidenceSource":"https://blog.logrocket.com/comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","method":"fallback"},{"key":"cost","status":"unverified","asserted":"usage","evidenceSource":"https://blog.logrocket.com/comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","method":"fallback"},{"key":"license","status":"unverified","asserted":"","evidenceSource":"https://blog.logrocket.com/comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","method":"fallback"}],"tweets":[],"notes":[],"origin":"intake","createdAt":"2026-10-17T08:35:33.521Z","updatedAt":"2026-10-17T08:35:33.521Z","sources":[{"kind":"web","label":"executor","url":"https://blog.logrocket.com/comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","excerpt":"* Start Monitoring for Free\n* Sign In\n\n2026-08-04\n\n3071\n\n#ai\n\nIkeh Akinyemi\n\n214680\n\n116\n\n## See how LogRocket's Galileo AI surfaces the most severe issues for you\n\n### No signup required\n\nCheck it out\n\nFive dimensions separate AI agent san","at":"2026-10-17T08:35:33.521Z"}],"recordId":"cmp_comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","claims":{"name":"Comparing AI agent sandbox platforms: E2B, Modal, Daytona, and more","summary":"* Start Monitoring for Free","kind":"harness","publisher":"blog.logrocket.com","homepage":"https://blog.logrocket.com/comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","costRange":"usage","costNotes":"Cost range usage taken from intake evidence.","functions":["code","memory","connect","deploy","evaluate","monitor","payment"],"slices":[{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"memory","label":"memory","note":"Inferred from executor","cost":"Unknown"},{"functionId":"connect","label":"connect","note":"Inferred from executor","cost":"Unknown"},{"functionId":"deploy","label":"deploy","note":"Inferred from executor","cost":"Unknown"},{"functionId":"evaluate","label":"evaluate","note":"Inferred from executor","cost":"Unknown"},{"functionId":"monitor","label":"monitor","note":"Inferred from executor","cost":"Unknown"},{"functionId":"payment","label":"payment","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"http"}],"composabilityRationale":"Heuristic from executor evidence. Grok pass was unavailable or incomplete. No usage metrics were observed."},"relations":[{"from":"comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","to":"agentmemory","kind":"fills-same-slot-as","note":"Shared functions code, connect, memory. Can fill the same function slot."},{"from":"comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","to":"ai-agent-sandbox-comparison-2026-seven-platforms","kind":"fills-same-slot-as","note":"Shared functions code, deploy, evaluate, memory. Can fill the same function slot."},{"from":"comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","to":"how-hopx-achieves-100ms-cold-starts","kind":"fills-same-slot-as","note":"Shared functions code, memory, monitor. Can fill the same function slot."},{"from":"comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","to":"executor","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."},{"from":"comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","to":"paseo","kind":"fills-same-slot-as","note":"Shared functions code, monitor. Can fill the same function slot."},{"from":"comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","to":"world-monitor","kind":"fills-same-slot-as","note":"Shared functions connect, monitor. Can fill the same function slot."},{"from":"comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","to":"best-code-execution-sandbox-for-ai-agents-in-2026","kind":"fills-same-slot-as","note":"Shared functions code, deploy, memory. Can fill the same function slot."},{"from":"comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","to":"daytona-alternatives-4-ai-agent-sandbox-platforms-compared-2026","kind":"fills-same-slot-as","note":"Shared functions code, memory, payment. Can fill the same function slot."}],"explain":{"score":13,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":1,"contribution":0.1,"why":"An MCP surface is declared. An API is declared. Cost is usage. 3 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is 2026-10-17. Freshness is omitted unless observed as a signal.","sources":[{"kind":"web","label":"executor","url":"https://blog.logrocket.com/comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","excerpt":"* Start Monitoring for Free\n* Sign In\n\n2026-08-04\n\n3071\n\n#ai\n\nIkeh Akinyemi\n\n214680\n\n116\n\n## See how LogRocket's Galileo AI surfaces the most severe issues for you\n\n### No signup required\n\nCheck it out\n\nFive dimensions separate AI agent san","at":"2026-10-17T08:35:33.521Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":13},{"slug":"agent-sandbox","name":"Agent Sandbox","summary":"Kubernetes-native platform for isolated, stateful singleton workloads used as AI agent runtimes and development environments. Sandbox, SandboxTemplate, SandboxClaim, and SandboxWarmPool CRDs provide a declarative API for long-running containers with stable identity, optional pers","publisher":"Kubernetes SIGs","homepage":"https://agent-sandbox.sigs.k8s.io/docs","kind":"runtime","hasApi":true,"hasMcp":false,"costRange":"unknown","costNotes":"Pricing is not stated on the retrieved documentation page. Cost is unknown.","functions":["code","identity","schedule","deploy","store","tool-call"],"slices":[{"functionId":"deploy","label":"Sandbox CRD","note":"Declarative API for a single stateful pod, with SandboxTemplate and SandboxClaim for reusable provisioning","cost":"Unknown"},{"functionId":"deploy","label":"SandboxWarmPool","note":"Pre-warmed pod pools so a new sandbox can be assigned without waiting for a cold pod start","cost":"Unknown"},{"functionId":"identity","label":"Stable identity","note":"Each sandbox has a stable hostname so agents and tools can reconnect to the same environment","cost":"Unknown"},{"functionId":"store","label":"Persistent storage","note":"Optional persistent storage survives restarts and keeps installed packages, files, and in-progress work","cost":"Unknown"},{"functionId":"schedule","label":"Scheduled deletion","note":"Automatic cleanup after a configurable TTL, with controller support for pausing and resume","cost":"Unknown"},{"functionId":"code","label":"Isolated code execution","note":"Runtime-agnostic isolation, including gVisor or Kata Containers, for untrusted or LLM-generated code","cost":"Unknown"},{"functionId":"tool-call","label":"tool-call","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"http"}],"composabilityRationale":"The page states a declarative Kubernetes CRD API, Python and Go client SDKs, and compatibility with standard containers, gVisor, and Kata Containers. It also states that existing cluster RBAC, namespaces, network policies, and resource quotas apply. 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Cost is unknown.","functions":["code","identity","schedule","deploy","store","tool-call"],"slices":[{"functionId":"deploy","label":"Sandbox CRD","note":"Declarative API for a single stateful pod, with SandboxTemplate and SandboxClaim for reusable provisioning","cost":"Unknown"},{"functionId":"deploy","label":"SandboxWarmPool","note":"Pre-warmed pod pools so a new sandbox can be assigned without waiting for a cold pod start","cost":"Unknown"},{"functionId":"identity","label":"Stable identity","note":"Each sandbox has a stable hostname so agents and tools can reconnect to the same environment","cost":"Unknown"},{"functionId":"store","label":"Persistent storage","note":"Optional persistent storage survives restarts and keeps installed packages, files, and in-progress work","cost":"Unknown"},{"functionId":"schedule","label":"Scheduled deletion","note":"Automatic cleanup after a configurable TTL, with controller support for pausing and resume","cost":"Unknown"},{"functionId":"code","label":"Isolated code execution","note":"Runtime-agnostic isolation, including gVisor or Kata Containers, for untrusted or LLM-generated code","cost":"Unknown"},{"functionId":"tool-call","label":"tool-call","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"http"}],"composabilityRationale":"The page states a declarative Kubernetes CRD API, Python and Go client SDKs, and compatibility with standard containers, gVisor, and Kata Containers. 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The latest dated evidence is 2026-10-17. 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Grok pass was unavailable or incomplete. No usage metrics were observed."},"relations":[{"from":"ai-agent-sandbox-comparison-2026-seven-platforms","to":"best-code-execution-sandbox-for-ai-agents-in-2026","kind":"fills-same-slot-as","note":"Shared functions code, compose, deploy, memory, test. Can fill the same function slot."},{"from":"ai-agent-sandbox-comparison-2026-seven-platforms","to":"comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","kind":"fills-same-slot-as","note":"Shared functions code, deploy, evaluate, memory. Can fill the same function slot."},{"from":"ai-agent-sandbox-comparison-2026-seven-platforms","to":"gosearch-for-slack-agentic-enterprise-search-custom-ai-agents-and-workflow-au","kind":"fills-same-slot-as","note":"Shared functions code, compose, deploy, policy. Can fill the same function slot."},{"from":"ai-agent-sandbox-comparison-2026-seven-platforms","to":"fix-cold-start-latency-in-ai-sandboxes-techniques","kind":"fills-same-slot-as","note":"Shared functions code, compose, evaluate, test. Can fill the same function slot."},{"from":"ai-agent-sandbox-comparison-2026-seven-platforms","to":"how-hopx-achieves-100ms-cold-starts","kind":"fills-same-slot-as","note":"Shared functions auth, code, memory. Can fill the same function slot."},{"from":"ai-agent-sandbox-comparison-2026-seven-platforms","to":"betterwright","kind":"fills-same-slot-as","note":"Shared functions code, policy. Can fill the same function slot."},{"from":"ai-agent-sandbox-comparison-2026-seven-platforms","to":"shadcn-ui","kind":"fills-same-slot-as","note":"Shared functions code, compose. 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Freshness is omitted unless observed as a signal.","sources":[{"kind":"web","label":"executor","url":"https://nirvanalabs.io/blog/agent-sandboxes-comparison-2026","excerpt":"# The Ultimate AI Agent Sandboxes Comparison 2026\n\n## TL;DR\n\n* Choose an agent sandbox by the state that must survive: workspace files, committed workflow progress, or running process memory.\n* Compare Nirvana, E2B, Daytona, Modal, Cloudfla","at":"2026-10-17T08:22:03.298Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":6},{"slug":"daytona-alternatives-4-ai-agent-sandbox-platforms-compared-2026","name":"Daytona Alternatives: 4 AI Agent Sandbox Platforms Compared (2026)","summary":"# Daytona Alternatives: 4 AI Agent Sandbox Platforms Compared (2026)","publisher":"morphllm.com","homepage":"https://www.morphllm.com/comparisons/daytona-alternative","kind":"eval","hasApi":true,"hasMcp":false,"costRange":"unknown","costNotes":"Unknown: pricing was not stated in the intake evidence.","functions":["code","generate","memory","compose","payment","rank","store","tool-call"],"slices":[{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"generate","label":"generate","note":"Inferred from executor","cost":"Unknown"},{"functionId":"memory","label":"memory","note":"Inferred from executor","cost":"Unknown"},{"functionId":"compose","label":"compose","note":"Inferred from executor","cost":"Unknown"},{"functionId":"payment","label":"payment","note":"Inferred from executor","cost":"Unknown"},{"functionId":"rank","label":"rank","note":"Inferred from executor","cost":"Unknown"},{"functionId":"store","label":"store","note":"Inferred from executor","cost":"Unknown"},{"functionId":"tool-call","label":"tool-call","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"http"}],"composabilityRationale":"Heuristic from executor evidence. 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We compare 4 alternatives: E2B, Modal, Fly.io Sprites, and Freestyle. 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Grok pass was unavailable or incomplete. No usage metrics were observed."},"relations":[{"from":"daytona-alternatives-4-ai-agent-sandbox-platforms-compared-2026","to":"how-hopx-achieves-100ms-cold-starts","kind":"fills-same-slot-as","note":"Shared functions code, memory, store. Can fill the same function slot."},{"from":"daytona-alternatives-4-ai-agent-sandbox-platforms-compared-2026","to":"agent-sandbox","kind":"fills-same-slot-as","note":"Shared functions code, store, tool-call. Can fill the same function slot."},{"from":"daytona-alternatives-4-ai-agent-sandbox-platforms-compared-2026","to":"comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","kind":"fills-same-slot-as","note":"Shared functions code, memory, payment. Can fill the same function slot."},{"from":"daytona-alternatives-4-ai-agent-sandbox-platforms-compared-2026","to":"slack-enterprise-search","kind":"fills-same-slot-as","note":"Shared functions generate, memory, tool-call. Can fill the same function slot."},{"from":"daytona-alternatives-4-ai-agent-sandbox-platforms-compared-2026","to":"shadcn-ui","kind":"fills-same-slot-as","note":"Shared functions code, compose. Can fill the same function slot."},{"from":"daytona-alternatives-4-ai-agent-sandbox-platforms-compared-2026","to":"ai-agent-sandbox-comparison-2026-seven-platforms","kind":"fills-same-slot-as","note":"Shared functions code, compose, memory. Can fill the same function slot."},{"from":"daytona-alternatives-4-ai-agent-sandbox-platforms-compared-2026","to":"best-code-execution-sandbox-for-ai-agents-in-2026","kind":"fills-same-slot-as","note":"Shared functions code, compose, memory. Can fill the same function slot."},{"from":"daytona-alternatives-4-ai-agent-sandbox-platforms-compared-2026","to":"agentmemory","kind":"fills-same-slot-as","note":"Shared functions code, memory. Can fill the same function slot."}],"explain":{"score":6,"formula":"100 × sum(weight × value) over observed factors only. 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README framing: collaboration over “autonomy theater” — you guide, it executes. Automates repetitive web tasks, extraction, navigation, forms, research → docs/spreadsheets; BYO API key or subscription login (Anthropic, OpenAI/ChatGPT, GitHub Copilot, Gemini, etc.); claims local-only / no tracking.","kind":"agent","publisher":"","homepage":"https://sitegeist.ai","repoUrl":"https://github.com/0xSero/sitegeist","license":"AGPL-3.0","costRange":"unknown","functions":["code","browser","extract"],"slices":[{"functionId":"code","label":"Code","note":"Sitegeist is an AI assistant that lives in a Chromium side panel, plus a bridge so coding agents can use the same browser. README framing: collaboration over “autonomy theater” — you guide, it executes. Automates repetitive web tasks, extraction, navigation, forms, research → docs/spreadsheets; BYO API key or subscription login (Anthropic, OpenAI/ChatGPT, GitHub Copilot, Gemini, etc.); claims local-only / no tracking.","cost":"unknown"},{"functionId":"browser","label":"Browser","note":"Sitegeist is an AI assistant that lives in a Chromium side panel, plus a bridge so coding agents can use the same browser. README framing: collaboration over “autonomy theater” — you guide, it executes. Automates repetitive web tasks, extraction, navigation, forms, research → docs/spreadsheets; BYO API key or subscription login (Anthropic, OpenAI/ChatGPT, GitHub Copilot, Gemini, etc.); claims local-only / no tracking.","cost":"unknown"},{"functionId":"extract","label":"Extract","note":"Sitegeist is an AI assistant that lives in a Chromium side panel, plus a bridge so coding agents can use the same browser. README framing: collaboration over “autonomy theater” — you guide, it executes. Automates repetitive web tasks, extraction, navigation, forms, research → docs/spreadsheets; BYO API key or subscription login (Anthropic, OpenAI/ChatGPT, GitHub Copilot, Gemini, etc.); claims local-only / no tracking.","cost":"unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"cli"}],"composabilityRationale":""},"relations":[{"from":"sitegeist","to":"fix-cold-start-latency-in-ai-sandboxes-techniques","kind":"fills-same-slot-as","note":"Shared functions code, extract. Can fill the same function slot."},{"from":"sitegeist","to":"best-code-execution-sandbox-for-ai-agents-in-2026","kind":"fills-same-slot-as","note":"Shared functions browser, code. Can fill the same function slot."}],"signals":[{"key":"has_license","value":1,"source":"component-record","method":"declared-license","observedAt":"2026-09-22T00:00:00.000Z"}],"claimVerification":[],"explain":{"score":10,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"value":0.15,"contribution":0.027,"why":"A licence is declared.","sources":[],"evidence":"observed"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[{"kind":"human","label":"Compendium resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-09-22-0xsero-sitegeist.md\nSitegeist is an AI assistant that lives in a Chromium side panel, plus a bridge so coding agents can use the same browser. README framing: collaboration over “autonomy theater” — you guide, it executes. Automates repetitive web tasks, extraction, navigation, forms, research → docs/spreadsheets; BYO API key or subscription login (Anthropic, OpenAI/ChatGPT, GitHub Copilot, Gemini, etc.); claims local-only / no tracking.","at":"2026-09-22T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"Sitegeist (0xSero fork) — browser sidebar AI + agent MCP bridge","at":"2026-09-22T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"Agent path: build/link cli package sitegeist, then e.g.","at":"2026-09-22T00:00:00.000Z"}],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.3333333333333333,"contribution":0.03333333333333333,"why":"An MCP surface is declared. No API is declared. 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Automates repetitive web tasks, extraction, navigation, forms, research → docs/spreadsheets; BYO API key or subscription login (Anthropic, OpenAI/ChatGPT, GitHub Copilot, Gemini, etc.); claims local-only / no tracking.","at":"2026-09-22T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"Sitegeist (0xSero fork) — browser sidebar AI + agent MCP bridge","at":"2026-09-22T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"Agent path: build/link cli package sitegeist, then e.g.","at":"2026-09-22T00:00:00.000Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":10},{"slug":"vellum-assistant","name":"Vellum Assistant","summary":"Vellum Assistant is a personal AI assistant product (OSS + managed cloud) in the same broad class as Hermes / OpenClaw / NanoClaw: multi-channel agent, skills, memory, computer use, OAuth-connected tools, managed or self-hosted runtime. Entry capture was the OAuth Integrations key-concept doc: browser OAuth2 instead of pasting API keys; each integration is a bundled skill with tools (e.g.","kind":"agent","homepage":"https://www.vellum.ai/docs/key-concepts/oauth-integrations","repoUrl":"https://github.com/vellum-ai/vellum-assistant","publisher":"","hasMcp":false,"hasApi":false,"costRange":"unknown","composabilityRationale":"","functions":["browser","memory","auth","tool-call"],"functionProbabilities":[{"functionId":"browser","value":0.8,"source":"06 Knowledge Library/Resources/coding/2026-07-28-vellum-assistant-oauth-integrations.md","method":"lexical","observedAt":"2026-07-28T00:00:00.000Z"},{"functionId":"memory","value":0.8,"source":"06 Knowledge Library/Resources/coding/2026-07-28-vellum-assistant-oauth-integrations.md","method":"lexical","observedAt":"2026-07-28T00:00:00.000Z"},{"functionId":"auth","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-07-28-vellum-assistant-oauth-integrations.md","method":"lexical","observedAt":"2026-07-28T00:00:00.000Z"},{"functionId":"tool-call","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-07-28-vellum-assistant-oauth-integrations.md","method":"lexical","observedAt":"2026-07-28T00:00:00.000Z"}],"slices":[{"functionId":"browser","label":"Browser","note":"Vellum Assistant is a personal AI assistant product (OSS + managed cloud) in the same broad class as Hermes / OpenClaw / NanoClaw: multi-channel agent, skills, memory, computer use, OAuth-connected tools, managed or self-hosted runtime. Entry capture was the OAuth Integrations key-concept doc: browser OAuth2 instead of pasting API keys; each integration is a bundled skill with tools (e.g.","cost":"unknown"},{"functionId":"memory","label":"Memory","note":"Vellum Assistant is a personal AI assistant product (OSS + managed cloud) in the same broad class as Hermes / OpenClaw / NanoClaw: multi-channel agent, skills, memory, computer use, OAuth-connected tools, managed or self-hosted runtime. Entry capture was the OAuth Integrations key-concept doc: browser OAuth2 instead of pasting API keys; each integration is a bundled skill with tools (e.g.","cost":"unknown"},{"functionId":"auth","label":"Auth","note":"Vellum Assistant is a personal AI assistant product (OSS + managed cloud) in the same broad class as Hermes / OpenClaw / NanoClaw: multi-channel agent, skills, memory, computer use, OAuth-connected tools, managed or self-hosted runtime. Entry capture was the OAuth Integrations key-concept doc: browser OAuth2 instead of pasting API keys; each integration is a bundled skill with tools (e.g.","cost":"unknown"},{"functionId":"tool-call","label":"Tool-call","note":"Vellum Assistant is a personal AI assistant product (OSS + managed cloud) in the same broad class as Hermes / OpenClaw / NanoClaw: multi-channel agent, skills, memory, computer use, OAuth-connected tools, managed or self-hosted runtime. Entry capture was the OAuth Integrations key-concept doc: browser OAuth2 instead of pasting API keys; each integration is a bundled skill with tools (e.g.","cost":"unknown"}],"tweets":[],"sources":[{"kind":"human","label":"Compendium resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-07-28-vellum-assistant-oauth-integrations.md\nVellum Assistant is a personal AI assistant product (OSS + managed cloud) in the same broad class as Hermes / OpenClaw / NanoClaw: multi-channel agent, skills, memory, computer use, OAuth-connected tools, managed or self-hosted runtime. Entry capture was the OAuth Integrations key-concept doc: browser OAuth2 instead of pasting API keys; each integration is a bundled skill with tools (e.g.","at":"2026-07-28T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"ntegrations key-concept doc: browser OAuth2 instead of pasting API keys; each integration is a bundled skill with tools (e.g.","at":"2026-07-28T00:00:00.000Z"}],"interfaces":[{"kind":"skill"}],"origin":"seed","notes":[],"createdAt":"2026-07-28T00:00:00.000Z","updatedAt":"2026-07-28T00:00:00.000Z","stagingSeed":"leyline-0.3.0-staging","recordId":"cmp_vellum-assistant","claims":{"name":"Vellum Assistant","summary":"Vellum Assistant is a personal AI assistant product (OSS + managed cloud) in the same broad class as Hermes / OpenClaw / NanoClaw: multi-channel agent, skills, memory, computer use, OAuth-connected tools, managed or self-hosted runtime. Entry capture was the OAuth Integrations key-concept doc: browser OAuth2 instead of pasting API keys; each integration is a bundled skill with tools (e.g.","kind":"agent","publisher":"","homepage":"https://www.vellum.ai/docs/key-concepts/oauth-integrations","repoUrl":"https://github.com/vellum-ai/vellum-assistant","costRange":"unknown","functions":["browser","memory","auth","tool-call"],"slices":[{"functionId":"browser","label":"Browser","note":"Vellum Assistant is a personal AI assistant product (OSS + managed cloud) in the same broad class as Hermes / OpenClaw / NanoClaw: multi-channel agent, skills, memory, computer use, OAuth-connected tools, managed or self-hosted runtime. Entry capture was the OAuth Integrations key-concept doc: browser OAuth2 instead of pasting API keys; each integration is a bundled skill with tools (e.g.","cost":"unknown"},{"functionId":"memory","label":"Memory","note":"Vellum Assistant is a personal AI assistant product (OSS + managed cloud) in the same broad class as Hermes / OpenClaw / NanoClaw: multi-channel agent, skills, memory, computer use, OAuth-connected tools, managed or self-hosted runtime. Entry capture was the OAuth Integrations key-concept doc: browser OAuth2 instead of pasting API keys; each integration is a bundled skill with tools (e.g.","cost":"unknown"},{"functionId":"auth","label":"Auth","note":"Vellum Assistant is a personal AI assistant product (OSS + managed cloud) in the same broad class as Hermes / OpenClaw / NanoClaw: multi-channel agent, skills, memory, computer use, OAuth-connected tools, managed or self-hosted runtime. Entry capture was the OAuth Integrations key-concept doc: browser OAuth2 instead of pasting API keys; each integration is a bundled skill with tools (e.g.","cost":"unknown"},{"functionId":"tool-call","label":"Tool-call","note":"Vellum Assistant is a personal AI assistant product (OSS + managed cloud) in the same broad class as Hermes / OpenClaw / NanoClaw: multi-channel agent, skills, memory, computer use, OAuth-connected tools, managed or self-hosted runtime. Entry capture was the OAuth Integrations key-concept doc: browser OAuth2 instead of pasting API keys; each integration is a bundled skill with tools (e.g.","cost":"unknown"}],"interfaces":[{"kind":"skill"}],"composabilityRationale":""},"relations":[{"from":"vellum-assistant","to":"atomic-agent","kind":"alternative-to","note":"Shared functions browser, memory, tool-call. Same kind and overlapping capability."},{"from":"vellum-assistant","to":"railcode","kind":"fills-same-slot-as","note":"Shared functions auth, tool-call. Can fill the same function slot."},{"from":"vellum-assistant","to":"slack-enterprise-search","kind":"fills-same-slot-as","note":"Shared functions browser, memory, tool-call. Can fill the same function slot."},{"from":"vellum-assistant","to":"how-hopx-achieves-100ms-cold-starts","kind":"fills-same-slot-as","note":"Shared functions auth, memory. Can fill the same function slot."},{"from":"vellum-assistant","to":"ai-agent-sandbox-comparison-2026-seven-platforms","kind":"fills-same-slot-as","note":"Shared functions auth, memory. Can fill the same function slot."},{"from":"vellum-assistant","to":"best-code-execution-sandbox-for-ai-agents-in-2026","kind":"fills-same-slot-as","note":"Shared functions browser, memory. Can fill the same function slot."},{"from":"vellum-assistant","to":"daytona-alternatives-4-ai-agent-sandbox-platforms-compared-2026","kind":"fills-same-slot-as","note":"Shared functions memory, tool-call. Can fill the same function slot."}],"signals":[],"claimVerification":[],"explain":{"score":3,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[{"kind":"human","label":"Compendium resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-07-28-vellum-assistant-oauth-integrations.md\nVellum Assistant is a personal AI assistant product (OSS + managed cloud) in the same broad class as Hermes / OpenClaw / NanoClaw: multi-channel agent, skills, memory, computer use, OAuth-connected tools, managed or self-hosted runtime. Entry capture was the OAuth Integrations key-concept doc: browser OAuth2 instead of pasting API keys; each integration is a bundled skill with tools (e.g.","at":"2026-07-28T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"ntegrations key-concept doc: browser OAuth2 instead of pasting API keys; each integration is a bundled skill with tools (e.g.","at":"2026-07-28T00:00:00.000Z"}],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0,"contribution":0,"why":"No MCP surface is declared. No API is declared. Cost is unknown. 0 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.22849520230941842,"contribution":0.031989328323318585,"why":"2 sources cover 1 evidence types. The latest dated evidence is 2026-07-28. Freshness is omitted unless observed as a signal.","sources":[{"kind":"human","label":"Compendium resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-07-28-vellum-assistant-oauth-integrations.md\nVellum Assistant is a personal AI assistant product (OSS + managed cloud) in the same broad class as Hermes / OpenClaw / NanoClaw: multi-channel agent, skills, memory, computer use, OAuth-connected tools, managed or self-hosted runtime. Entry capture was the OAuth Integrations key-concept doc: browser OAuth2 instead of pasting API keys; each integration is a bundled skill with tools (e.g.","at":"2026-07-28T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"ntegrations key-concept doc: browser OAuth2 instead of pasting API keys; each integration is a bundled skill with tools (e.g.","at":"2026-07-28T00:00:00.000Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":3},{"slug":"world-monitor","name":"World Monitor","summary":"Open-source real-time global intelligence / situational-awareness dashboard — AI-synthesized news, multi-layer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs). README one-liner: AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.","kind":"app","homepage":"https://www.worldmonitor.app","repoUrl":"https://github.com/koala73/worldmonitor","docsUrl":"https://www.worldmonitor.app/docs/documentation","publisher":"Elie Habib","hasMcp":true,"hasApi":true,"costRange":"unknown","composabilityRationale":"","functions":["connect","monitor"],"functionProbabilities":[{"functionId":"connect","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-07-22-koala73-worldmonitor.md","method":"lexical","observedAt":"2026-07-22T00:00:00.000Z"},{"functionId":"monitor","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-07-22-koala73-worldmonitor.md","method":"lexical","observedAt":"2026-07-22T00:00:00.000Z"}],"slices":[{"functionId":"connect","label":"Connect","note":"Open-source real-time global intelligence / situational-awareness dashboard — AI-synthesized news, multi-layer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs). README one-liner: AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.","cost":"unknown"},{"functionId":"monitor","label":"Monitor","note":"Open-source real-time global intelligence / situational-awareness dashboard — AI-synthesized news, multi-layer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs). README one-liner: AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.","cost":"unknown"}],"tweets":[],"sources":[{"kind":"human","label":"Compendium resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-07-22-koala73-worldmonitor.md\nOpen-source real-time global intelligence / situational-awareness dashboard — AI-synthesized news, multi-layer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs). README one-liner: AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.","at":"2026-07-22T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"ulti-layer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs).","at":"2026-07-22T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"aps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs).","at":"2026-07-22T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"ayer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs).","at":"2026-07-22T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs).","at":"2026-07-22T00:00:00.000Z"}],"interfaces":[{"kind":"mcp"},{"kind":"cli"},{"kind":"http"},{"kind":"sdk"}],"origin":"seed","notes":[],"createdAt":"2026-07-22T00:00:00.000Z","updatedAt":"2026-07-22T00:00:00.000Z","stagingSeed":"leyline-0.3.0-staging","recordId":"cmp_world-monitor","claims":{"name":"World Monitor","summary":"Open-source real-time global intelligence / situational-awareness dashboard — AI-synthesized news, multi-layer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs). README one-liner: AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.","kind":"app","publisher":"Elie Habib","homepage":"https://www.worldmonitor.app","repoUrl":"https://github.com/koala73/worldmonitor","docsUrl":"https://www.worldmonitor.app/docs/documentation","costRange":"unknown","functions":["connect","monitor"],"slices":[{"functionId":"connect","label":"Connect","note":"Open-source real-time global intelligence / situational-awareness dashboard — AI-synthesized news, multi-layer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs). README one-liner: AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.","cost":"unknown"},{"functionId":"monitor","label":"Monitor","note":"Open-source real-time global intelligence / situational-awareness dashboard — AI-synthesized news, multi-layer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs). README one-liner: AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.","cost":"unknown"}],"interfaces":[{"kind":"mcp"},{"kind":"cli"},{"kind":"http"},{"kind":"sdk"}],"composabilityRationale":""},"relations":[{"from":"world-monitor","to":"monid-289f37","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."},{"from":"world-monitor","to":"dory","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."},{"from":"world-monitor","to":"concentrate-ai","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."},{"from":"world-monitor","to":"google-workspace-cli","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."},{"from":"world-monitor","to":"mailcheap","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."},{"from":"world-monitor","to":"refero","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."},{"from":"world-monitor","to":"larasend","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."},{"from":"world-monitor","to":"rare-ui","kind":"alternative-to","note":"Shared functions connect. Same kind and overlapping capability."}],"signals":[{"key":"has_docs","value":1,"source":"component-record","method":"declared-docs","observedAt":"2026-07-22T00:00:00.000Z"}],"claimVerification":[],"explain":{"score":14,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"value":0.15,"contribution":0.027,"why":"Documentation is available.","sources":[],"evidence":"observed"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[{"kind":"human","label":"Compendium resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-07-22-koala73-worldmonitor.md\nOpen-source real-time global intelligence / situational-awareness dashboard — AI-synthesized news, multi-layer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs). README one-liner: AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.","at":"2026-07-22T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"ulti-layer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs).","at":"2026-07-22T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"aps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs).","at":"2026-07-22T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"ayer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs).","at":"2026-07-22T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs).","at":"2026-07-22T00:00:00.000Z"}],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0.6666666666666666,"contribution":0.06666666666666667,"why":"An MCP surface is declared. An API is declared. Cost is unknown. 2 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.3095666486376143,"contribution":0.043339330809266004,"why":"5 sources cover 1 evidence types. The latest dated evidence is 2026-07-22. Freshness is omitted unless observed as a signal.","sources":[{"kind":"human","label":"Compendium resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-07-22-koala73-worldmonitor.md\nOpen-source real-time global intelligence / situational-awareness dashboard — AI-synthesized news, multi-layer maps, finance/infra/military/disaster signals, plus first-class agent surfaces (MCP, REST, CLI, SDKs). 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Anything that speaks MCP, like Claude Code, Cursor, or Codex, points at one endpoint and reaches every tool you connect.","at":"2026-08-27T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"Executor — MCP gateway for agent tools (Useful Software / Rhys Sullivan)","at":"2026-08-27T00:00:00.000Z"}],"interfaces":[{"kind":"mcp"}],"origin":"seed","notes":[],"createdAt":"2026-08-27T00:00:00.000Z","updatedAt":"2026-08-27T00:00:00.000Z","stagingSeed":"leyline-0.3.0-staging","recordId":"cmp_executor","claims":{"name":"Executor","summary":"Landing hero: Connect any agent to everything. Tagline: The gateway to connect your agent to everything. Page: Executor is an MCP gateway. 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It sells persistent Linux VMs for coding agents and agent platforms: SSH, Docker inside the VM, a dedicated IPv4 per machine, snapshot/stop/resume, fork-from-snapshot, optional 60fps desktop stream, and a CLI/API/box prompt path for Claude Code or Codex.","at":"2026-08-19T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"r machine, snapshot/stop/resume, fork-from-snapshot, optional 60fps desktop stream, and a CLI/API/box prompt path for Claude Code or Codex.","at":"2026-08-19T00:00:00.000Z"},{"kind":"human","label":"Compendium resource card","excerpt":"r machine, snapshot/stop/resume, fork-from-snapshot, optional 60fps desktop stream, and a CLI/API/box prompt path for Claude Code or Codex.","at":"2026-08-19T00:00:00.000Z"}],"interfaces":[{"kind":"cli"},{"kind":"http"}],"origin":"seed","notes":[],"createdAt":"2026-08-19T00:00:00.000Z","updatedAt":"2026-08-19T00:00:00.000Z","stagingSeed":"leyline-0.3.0-staging","recordId":"cmp_box","claims":{"name":"Box","summary":"Box is a managed sandbox product from Ascii (legal entity Dedale AI, Corp.). 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A team can also register its own API credentials, OAuth connections, CLIs, and SKILL.md bundles; callers use one Treg token while upstream credentials remain server-side.","at":"2026-08-12T00:00:00.000Z"}],"interfaces":[],"origin":"seed","notes":[],"createdAt":"2026-08-12T00:00:00.000Z","updatedAt":"2026-08-12T00:00:00.000Z","stagingSeed":"leyline-0.3.0-staging","recordId":"cmp_treg","claims":{"name":"Treg","summary":"Treg is an agent-oriented tool registry and credential-injection proxy. Its hosted catalog claims roughly 2,600 endpoints across about 40 providers, searchable by task with request/response shape and per-call prices. 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The latest dated evidence is 2026-10-17. Freshness is omitted unless observed as a signal.","sources":[{"kind":"web","label":"executor","url":"https://northflank.com/blog/best-code-execution-sandbox-for-ai-agents","excerpt":"← Back to Blog\n\nBy Cristina Bunea\n\nPublished 17th January 2026\n\n# Best code execution sandbox for AI agents in 2026\n\nAI\n\n## TL;DR: Best code execution sandbox for AI agents in 2026\n\nThe best code execution sandbox for AI agents depends on w","at":"2026-10-17T08:21:49.965Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["GitHub health: insufficient evidence","Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":6},{"slug":"gosearch-for-slack-agentic-enterprise-search-custom-ai-agents-and-workflow-au","name":"GoSearch for Slack: Agentic Enterprise Search, Custom AI Agents, and Workflow Au","summary":"# GoSearch for Slack: Agentic Enterprise Search, Custom AI Agents, and Workflow Automation","publisher":"gosearch.ai","homepage":"https://www.gosearch.ai/blog/the-gosearch-slack-integration","kind":"mcp","hasApi":false,"hasMcp":true,"costRange":"unknown","costNotes":"Unknown: pricing was not stated in the intake evidence.","functions":["code","deploy","identity","policy","search","compose","connect","summarize"],"slices":[{"functionId":"code","label":"code","note":"Inferred from executor","cost":"Unknown"},{"functionId":"deploy","label":"deploy","note":"Inferred from executor","cost":"Unknown"},{"functionId":"identity","label":"identity","note":"Inferred from executor","cost":"Unknown"},{"functionId":"policy","label":"policy","note":"Inferred from executor","cost":"Unknown"},{"functionId":"search","label":"search","note":"Inferred from executor","cost":"Unknown"},{"functionId":"compose","label":"compose","note":"Inferred from executor","cost":"Unknown"},{"functionId":"connect","label":"connect","note":"Inferred from executor","cost":"Unknown"},{"functionId":"summarize","label":"summarize","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"mcp"}],"composabilityRationale":"Heuristic from executor evidence. 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