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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. 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":0.3333333333333333,"contribution":0.03333333333333333,"why":"No MCP surface is declared. An API is declared. Cost is unknown. 1 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://www.morphllm.com/comparisons/daytona-alternative","excerpt":"# Daytona Alternatives: 4 AI Agent Sandbox Platforms Compared (2026)\n\nDaytona pivoted to AI agent infrastructure in early 2025. We compare 4 alternatives: E2B, Modal, Fly.io Sprites, and Freestyle. Cold start times, pricing, isolation model","at":"2026-10-17T08:35:48.103Z"}],"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":"slack-enterprise-search","name":"Slack Enterprise Search","summary":"Slack feature that searches conversations, files, connected third-party apps, and custom or self-hosted sources from one Slack search bar. It uses real-time federated retrieval, permission-aware results, and natural-language answers with conversational summaries. Slackbot is desc","publisher":"Slack","homepage":"https://slack.com/features/enterprise-search","kind":"app","hasApi":true,"hasMcp":false,"costRange":"unknown","costNotes":"Unknown: The page says customers on the Enterprise+ plan can use enterprise search by enabling connectors at the admin and user levels and tells readers to contact sales. No price, seat fee, or usage rate is stated.","functions":["browser","retrieve","search","generate","memory","summarize","tool-call"],"slices":[{"functionId":"search","label":"Single Slack search","note":"Search conversations, business tools, and connected app data from one search bar in Slack.","cost":"Unknown"},{"functionId":"retrieve","label":"Federated real-time retrieval","note":"Federated search returns information in real time based on the user's access at query time.","cost":"Unknown"},{"functionId":"summarize","label":"Conversational summary","note":"A natural-language question can return a conversational summary informed by the most relevant permissioned results.","cost":"Unknown"},{"functionId":"browser","label":"browser","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":"tool-call","label":"tool-call","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"http"}],"composabilityRationale":"The page states a custom connector API for home-grown systems, self-hosted software, and proprietary knowledge bases, and connectors for third-party apps such as Salesforce and Google Drive. Retrieval is federated and permission-aware in real time. No MCP server or Model Context Protocol support is stated.","signals":[],"functionProbabilities":[{"functionId":"browser","value":0.8,"source":"https://slack.com/features/enterprise-search","method":"lexical","observedAt":"2026-10-15T16:30:32.864Z"},{"functionId":"retrieve","value":0.8,"source":"https://slack.com/features/enterprise-search","method":"lexical","observedAt":"2026-10-15T16:30:32.864Z"},{"functionId":"search","value":0.8,"source":"https://slack.com/features/enterprise-search","method":"lexical","observedAt":"2026-10-15T16:30:32.864Z"},{"functionId":"generate","value":0.72,"source":"https://slack.com/features/enterprise-search","method":"lexical","observedAt":"2026-10-15T16:30:32.864Z"},{"functionId":"memory","value":0.72,"source":"https://slack.com/features/enterprise-search","method":"lexical","observedAt":"2026-10-15T16:30:32.864Z"},{"functionId":"summarize","value":0.72,"source":"https://slack.com/features/enterprise-search","method":"lexical","observedAt":"2026-10-15T16:30:32.864Z"},{"functionId":"tool-call","value":0.72,"source":"https://slack.com/features/enterprise-search","method":"lexical","observedAt":"2026-10-15T16:30:32.864Z"}],"claimVerification":[{"key":"mcp","status":"unverified","asserted":"false","evidenceSource":"https://slack.com/features/enterprise-search","method":"fallback"},{"key":"api","status":"unverified","asserted":"true","evidenceSource":"https://slack.com/features/enterprise-search","method":"fallback"},{"key":"cost","status":"unverified","asserted":"unknown","evidenceSource":"https://slack.com/features/enterprise-search","method":"fallback"},{"key":"license","status":"unverified","asserted":"","evidenceSource":"https://slack.com/features/enterprise-search","method":"fallback"}],"tweets":[],"notes":[],"origin":"intake","createdAt":"2026-10-15T16:30:34.285Z","updatedAt":"2026-10-15T16:30:34.285Z","sources":[{"kind":"web","label":"executor","url":"https://slack.com/features/enterprise-search","excerpt":"Skip to main content\n\nWatch video\n\n## Search Slack, and every connected app.\n\nEnterprise search includes your company's third-party apps, too. No context switching required.\n\nFully Connected\n\n## One search to rule them all.\n\nWith enterprise","at":"2026-10-15T16:30:34.285Z"}],"recordId":"cmp_slack-enterprise-search","claims":{"name":"Slack Enterprise Search","summary":"Slack feature that searches conversations, files, connected third-party apps, and custom or self-hosted sources from one Slack search bar. It uses real-time federated retrieval, permission-aware results, and natural-language answers with conversational summaries. Slackbot is desc","kind":"app","publisher":"Slack","homepage":"https://slack.com/features/enterprise-search","costRange":"unknown","costNotes":"Unknown: The page says customers on the Enterprise+ plan can use enterprise search by enabling connectors at the admin and user levels and tells readers to contact sales. No price, seat fee, or usage rate is stated.","functions":["browser","retrieve","search","generate","memory","summarize","tool-call"],"slices":[{"functionId":"search","label":"Single Slack search","note":"Search conversations, business tools, and connected app data from one search bar in Slack.","cost":"Unknown"},{"functionId":"retrieve","label":"Federated real-time retrieval","note":"Federated search returns information in real time based on the user's access at query time.","cost":"Unknown"},{"functionId":"summarize","label":"Conversational summary","note":"A natural-language question can return a conversational summary informed by the most relevant permissioned results.","cost":"Unknown"},{"functionId":"browser","label":"browser","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":"tool-call","label":"tool-call","note":"Inferred from executor","cost":"Unknown"}],"interfaces":[{"kind":"http"}],"composabilityRationale":"The page states a custom connector API for home-grown systems, self-hosted software, and proprietary knowledge bases, and connectors for third-party apps such as Salesforce and Google Drive. Retrieval is federated and permission-aware in real time. No MCP server or Model Context Protocol support is stated."},"relations":[{"from":"slack-enterprise-search","to":"atomic-agent","kind":"fills-same-slot-as","note":"Shared functions browser, memory, tool-call. Can fill the same function slot."},{"from":"slack-enterprise-search","to":"vellum-assistant","kind":"fills-same-slot-as","note":"Shared functions browser, memory, tool-call. Can fill the same function slot."},{"from":"slack-enterprise-search","to":"deep-agents","kind":"fills-same-slot-as","note":"Shared functions memory, summarize. Can fill the same function slot."},{"from":"slack-enterprise-search","to":"search","kind":"fills-same-slot-as","note":"Shared functions browser, search. Can fill the same function slot."},{"from":"slack-enterprise-search","to":"daytona-alternatives-4-ai-agent-sandbox-platforms-compared-2026","kind":"fills-same-slot-as","note":"Shared functions generate, memory, tool-call. Can fill the same function slot."},{"from":"slack-enterprise-search","to":"turbopuffer","kind":"fills-same-slot-as","note":"Shared functions memory, search. Can fill the same function slot."},{"from":"slack-enterprise-search","to":"pageindex","kind":"fills-same-slot-as","note":"Shared functions memory, retrieve. Can fill the same function slot."},{"from":"slack-enterprise-search","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."}],"explain":{"score":6,"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":0.3333333333333333,"contribution":0.03333333333333333,"why":"No MCP surface is declared. An API is declared. Cost is unknown. 1 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 2026-10-15. Freshness is omitted unless observed as a signal.","sources":[{"kind":"web","label":"executor","url":"https://slack.com/features/enterprise-search","excerpt":"Skip to main content\n\nWatch video\n\n## Search Slack, and every connected app.\n\nEnterprise search includes your company's third-party apps, too. No context switching required.\n\nFully Connected\n\n## One search to rule them all.\n\nWith enterprise","at":"2026-10-15T16:30:34.285Z"}],"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":"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":"agentmemory","name":"AgentMemory","summary":"An open source memory system for coding agents that captures session activity, compresses it into searchable memory, and re-injects relevant context into future sessions. The repo positions it as agent-agnostic infrastructure that can work across Claude Code, OpenClaw, Codex CLI, Cursor, Gemini CLI, and other MCP or HTTP-capable agents.","kind":"resource","repoUrl":"https://github.com/rohitg00/agentmemory","publisher":"","hasMcp":false,"hasApi":false,"costRange":"unknown","composabilityRationale":"","functions":["code","memory","connect"],"functionProbabilities":[{"functionId":"code","value":0.92,"source":"06 Knowledge Library/Resources/coding/2026-05-08-agentmemory-persistent-memory-for-coding-agents.md","method":"lexical","observedAt":"2026-05-08T00:00:00.000Z"},{"functionId":"memory","value":0.8,"source":"06 Knowledge Library/Resources/coding/2026-05-08-agentmemory-persistent-memory-for-coding-agents.md","method":"lexical","observedAt":"2026-05-08T00:00:00.000Z"},{"functionId":"connect","value":0.72,"source":"06 Knowledge Library/Resources/coding/2026-05-08-agentmemory-persistent-memory-for-coding-agents.md","method":"lexical","observedAt":"2026-05-08T00:00:00.000Z"}],"slices":[{"functionId":"code","label":"Code","note":"An open source memory system for coding agents that captures session activity, compresses it into searchable memory, and re-injects relevant context into future sessions. The repo positions it as agent-agnostic infrastructure that can work across Claude Code, OpenClaw, Codex CLI, Cursor, Gemini CLI, and other MCP or HTTP-capable agents.","cost":"unknown"},{"functionId":"memory","label":"Memory","note":"An open source memory system for coding agents that captures session activity, compresses it into searchable memory, and re-injects relevant context into future sessions. The repo positions it as agent-agnostic infrastructure that can work across Claude Code, OpenClaw, Codex CLI, Cursor, Gemini CLI, and other MCP or HTTP-capable agents.","cost":"unknown"},{"functionId":"connect","label":"Connect","note":"An open source memory system for coding agents that captures session activity, compresses it into searchable memory, and re-injects relevant context into future sessions. The repo positions it as agent-agnostic infrastructure that can work across Claude Code, OpenClaw, Codex CLI, Cursor, Gemini CLI, and other MCP or HTTP-capable agents.","cost":"unknown"}],"tweets":[],"sources":[{"kind":"human","label":"Compendium resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-05-08-agentmemory-persistent-memory-for-coding-agents.md\nAn open source memory system for coding agents that captures session activity, compresses it into searchable memory, and re-injects relevant context into future sessions. The repo positions it as agent-agnostic infrastructure that can work across Claude Code, OpenClaw, Codex CLI, Cursor, Gemini CLI, and other MCP or HTTP-capable agents.","at":"2026-05-08T00:00:00.000Z"}],"interfaces":[],"origin":"seed","notes":[],"createdAt":"2026-05-08T00:00:00.000Z","updatedAt":"2026-05-08T00:00:00.000Z","stagingSeed":"leyline-0.3.0-staging","recordId":"cmp_agentmemory","claims":{"name":"AgentMemory","summary":"An open source memory system for coding agents that captures session activity, compresses it into searchable memory, and re-injects relevant context into future sessions. The repo positions it as agent-agnostic infrastructure that can work across Claude Code, OpenClaw, Codex CLI, Cursor, Gemini CLI, and other MCP or HTTP-capable agents.","kind":"resource","publisher":"","repoUrl":"https://github.com/rohitg00/agentmemory","costRange":"unknown","functions":["code","memory","connect"],"slices":[{"functionId":"code","label":"Code","note":"An open source memory system for coding agents that captures session activity, compresses it into searchable memory, and re-injects relevant context into future sessions. The repo positions it as agent-agnostic infrastructure that can work across Claude Code, OpenClaw, Codex CLI, Cursor, Gemini CLI, and other MCP or HTTP-capable agents.","cost":"unknown"},{"functionId":"memory","label":"Memory","note":"An open source memory system for coding agents that captures session activity, compresses it into searchable memory, and re-injects relevant context into future sessions. The repo positions it as agent-agnostic infrastructure that can work across Claude Code, OpenClaw, Codex CLI, Cursor, Gemini CLI, and other MCP or HTTP-capable agents.","cost":"unknown"},{"functionId":"connect","label":"Connect","note":"An open source memory system for coding agents that captures session activity, compresses it into searchable memory, and re-injects relevant context into future sessions. The repo positions it as agent-agnostic infrastructure that can work across Claude Code, OpenClaw, Codex CLI, Cursor, Gemini CLI, and other MCP or HTTP-capable agents.","cost":"unknown"}],"interfaces":[],"composabilityRationale":""},"relations":[{"from":"agentmemory","to":"executor","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."},{"from":"agentmemory","to":"rea","kind":"alternative-to","note":"Shared functions code, connect. Same kind and overlapping capability."},{"from":"agentmemory","to":"comparing-ai-agent-sandbox-platforms-e2b-modal-daytona-and-more","kind":"fills-same-slot-as","note":"Shared functions code, connect, memory. Can fill the same function slot."},{"from":"agentmemory","to":"atomic-agent","kind":"fills-same-slot-as","note":"Shared functions connect, memory. Can fill the same function slot."},{"from":"agentmemory","to":"how-hopx-achieves-100ms-cold-starts","kind":"fills-same-slot-as","note":"Shared functions code, memory. Can fill the same function slot."},{"from":"agentmemory","to":"pen-dev","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."},{"from":"agentmemory","to":"onyx","kind":"fills-same-slot-as","note":"Shared functions code, connect. Can fill the same function slot."},{"from":"agentmemory","to":"ai-agent-sandbox-comparison-2026-seven-platforms","kind":"fills-same-slot-as","note":"Shared functions code, memory. 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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. 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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}]}