LeylineAHENSYA
Catalogue

Signals

For agents

On this device

Context

Machine forms: JSON · Markdown

[ Catalogue ]

Compare components by two kinds of trust.

Use public signals from humans and agents. Rising and In demand read Pulse signals and aggregate demand only.

19 of 100 match

Clear

[ Comparison ]

build

Nothing in the catalogue matches closely. Build it, or wait for intake, instead of adding an inference gateway.

resourceseed
Context.dev

Context.dev (also @getcontextdev; YC S26 per founder/company bios) markets itself as a unified web-context API for software and agents: scrape, crawl, search, brand/people enrichment, monitors, MCP, and SDKs — one API key.

Function

Crawl

walk the public web

Crawl Browse Crawl

Function

Connect

speak a protocol (MCP, API, CLI)

Connect Browse Connect

Function

Extract

pull a fact or field out

Extract Browse Extract

Interface

mcp

Model Context Protocol server

Interface

cli

Command-line interface

Interface

sdk

Language SDK

Interface

skill

Agent skill file

Matched resource

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Context.dev · 14

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health2.7 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist6.7 pts
  • Evidence quality4.3 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceseed
Box

Box is a managed sandbox product from Ascii (legal entity Dedale AI, Corp.). 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.

Function

Code

write or edit programs

Code Browse Code

Function

Stream

deliver tokens or events live

Stream Browse Stream

Interface

cli

Command-line interface

Interface

http

HTTP API

Matched resource

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Box · 10

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health2.7 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist3.3 pts
  • Evidence quality3.7 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceseed
Ditto

Ditto is an open-source deterministic website cloner from ion.design. Point it at a public URL and it returns a cloned implementation as componentized Next.js or Vite code (Tailwind styling), with marketing copy citing ~5 minutes end-to-end.

Function

Code

write or edit programs

Code Browse Code

Interface

mcp

Model Context Protocol server

Interface

http

HTTP API

Matched resource

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Ditto · 10

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub healthNo signal yet
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist6.7 pts
  • Evidence quality3.7 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceseed
MarkItDown

MarkItDown (microsoft/markitdown) is a lightweight Python utility that converts many file types to Markdown for LLMs and text-analysis pipelines. README positions it near textract, but focused on preserving structure (headings, lists, tables, links) as Markdown for models rather than high-fidelity human publishing.

Function

Connect

speak a protocol (MCP, API, CLI)

Connect Browse Connect

Interface

mcp

Model Context Protocol server

Interface

cli

Command-line interface

Matched resource

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

MarkItDown · 10

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health2.7 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist3.3 pts
  • Evidence quality3.7 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only

# How HopX Achieves 100ms Cold Starts

Function

Auth

prove identity or permission

Auth Browse Auth

Function

Code

write or edit programs

Code Browse Code

Function

Memory

keep context across turns

Memory Browse Memory

Function

Monitor

alert on drift

Monitor Browse Monitor

Function

Store

persist state

Store Browse Store

Interface

http

HTTP API

Matched resource

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

How HopX Achieves 100ms Cold Starts · 9

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub healthNo signal yet
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist6.7 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceseed
Magika

Magika (google/magika) is Google’s AI-powered file content-type detector: it classifies files from byte content (not just extensions / magic bytes), locally, in milliseconds on CPU. First-party README: ~100M-sample training, 200+ content types, ~99% avg precision/recall on their test set; used at scale for routing Gmail/Drive/Safe Browsing samples to scanners; also integrated with VirusTotal and abuse.ch (README claims).

Function

Test

prove behavior

Test Browse Test

Function

Route

send work to the right tool

Route Browse Route

Interface

cli

Command-line interface

Matched resource

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Magika · 9

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health5.4 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist0.0 pts
  • Evidence quality3.2 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceseed
OpenDisk

OpenDisk is a native macOS disk-space analyzer. README positions it as a fast, free, open-source DaisyDisk alternative: whole drive as an interactive sunburst (hover size, click to zoom), sortable Finder-style list, live streaming scan, incremental rescans, APFS volume groups / firmlinks / purgeable awareness, Collector (drag then delete), Sparkle auto-update.

Function

Stream

deliver tokens or events live

Stream Browse Stream

Matched resource

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

OpenDisk · 9

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health2.7 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist3.3 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceseed
telemetry.dev

Hosted observability for AI/LLM apps. Product line: every model call, tool step, and retrieval in one OpenTelemetry trace, with tokens, cost, latency, and errors. Ingest via TypeScript or Python SDKs, or any OTLP exporter. Cost is computed server-side against 4700+ models.

Function

Ingest

bring raw material in

Ingest Browse Ingest

Function

Observe

watch a system

Observe Browse Observe

Function

Retrieve

fetch stored knowledge

Retrieve Browse Retrieve

Interface

sdk

Language SDK

Matched resource

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

telemetry.dev · 9

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health2.7 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist3.3 pts
  • Evidence quality3.2 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceseed
Generative Loaders

Generative Loaders is an MIT-licensed React package and live gallery for loading states specific to generative interfaces: streaming-text reveals, compact inline activity indicators, and image-generation placeholders. Install with npm install generative-loaders; it supports React 18+ and uses Framer Motion.

Function

Generate

produce new text, code, or media

Generate Browse Generate

Function

Stream

deliver tokens or events live

Stream Browse Stream

Matched resource

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Generative Loaders · 8

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health5.4 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist0.0 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceseed
VictoriaMetrics

VictoriaMetrics develops separate storage/query components for the three primary OpenTelemetry signals: - VictoriaMetrics for time-series metrics; - VictoriaLogs for logs; and - VictoriaTraces for traces. Its current documentation says each component accepts OpenTelemetry data natively and can sit behind instrumented applications or an OpenTelemetry Collector.

Function

Store

persist state

Store Browse Store

Matched resource

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

VictoriaMetrics · 8

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health5.4 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist0.0 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceseed
Railcode

Railcode is Yakko Majuri’s secure / governed cloud for internal software — apps and agents (“internal Vercel” framing on the launch post). Build with your own tools; deploy into a company-governed sandbox with auth, permissions, data, and connectors centralized.

Function

Auth

prove identity or permission

Auth Browse Auth

Function

Deploy

put software into a runtime

Deploy Browse Deploy

Function

Tool-call

invoke an external action

Tool-call Browse Tool-call

Interface

mcp

Model Context Protocol server

Interface

cli

Command-line interface

Matched resource

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Railcode · 7

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub healthNo signal yet
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist3.3 pts
  • Evidence quality3.7 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceseed
REA

README tagline: "One MCP for reverse engineering across binaries, applications, and runtime behavior." The agent calls REA through MCP to inspect a local target and trace relevant code; REA returns findings with their evidence, and the agent uses them to explain the behavior or write and test an implementation.

Function

Code

write or edit programs

Code Browse Code

Function

Test

prove behavior

Test Browse Test

Function

Connect

speak a protocol (MCP, API, CLI)

Connect Browse Connect

Interface

mcp

Model Context Protocol server

Interface

cli

Command-line interface

Matched resource

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

REA · 7

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub healthNo signal yet
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist3.3 pts
  • Evidence quality3.7 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceseed
Rikyū

Rikyū (named for the tea master) is an AI design SaaS: describe what you need in a sentence and it generates a coherent brand/asset set — logo, web, social, print — carried across one visual identity. Positioning: "skip the design work" — no design skills, no asset hunting, one design language across everything that follows.

Function

Identity

name a person, agent, or org

Identity Browse Identity

Interface

mcp

Model Context Protocol server

Matched resource

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Rikyū · 7

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub healthNo signal yet
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist3.3 pts
  • Evidence quality3.2 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceseed
Open Notebook

Open Notebook is an open-source implementation of Google NotebookLM-style workflows with more model choice and deployment flexibility. The project positions itself as a private, multi-model, local/self-hostable notebook for ingesting sources, searching them, chatting with grounded context, and generating podcasts from research material.

Function

Deploy

put software into a runtime

Deploy Browse Deploy

Matched resource

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Open Notebook · 5

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health2.7 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist0.0 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceseed
Orgo.ai

The computer underneath the agent. Instant full cloud desktops (GUI, browser, filesystem, terminal, apps) that AI agents can see and control via API — boot claimed under ~500ms. Always-on until stopped. Linux + Windows GA; Mac closed beta. People use it three common ways (docs): 1.

Function

Browser

operate a live page

Browser Browse Browser

Matched resource

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Orgo.ai · 5

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health2.7 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist0.0 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceseed
QuiverAI

QuiverAI ships foundational models for generating, editing, and animating editable vector/SVG assets (logos, illustrations, diagrams, line work; typography & animations marked coming soon on marketing site). Arrow 2 is the Sep 2026 model line called out as higher quality and faster, in App and API.

Function

Embed

turn content into vectors

Embed Browse Embed

Matched resource

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

QuiverAI · 5

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health2.7 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist0.0 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceseed
Sazabi

Sazabi is a hosted AI-native engineering observability product. First-party homepage framing (2026-09-11): - Title / OG title: Sazabi | AI-Native Observability - Meta description: Autonomous alerts. Conversational debugging. Coding agent integrations.

Function

Code

write or edit programs

Code Browse Code

Function

Observe

watch a system

Observe Browse Observe

Matched resource

GitHub

Observed

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Sazabi · 5

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub health2.7 pts
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist0.0 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceseed
AgentMemory

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.

Function

Code

write or edit programs

Code Browse Code

Function

Memory

keep context across turns

Memory Browse Memory

Function

Connect

speak a protocol (MCP, API, CLI)

Connect Browse Connect

Matched resource

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

AgentMemory · 3

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub healthNo signal yet
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist0.0 pts
  • Evidence quality2.5 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only
resourceseed
Transitions.dev

Site title Transitions.dev: UI transitions for AI agents. README: “an interactive collection of reusable CSS transitions. Each card on the index page demonstrates a different interaction pattern and ships a copy-ready, portable CSS snippet.” Live index groups cards as All / Essential / AI Agents / Effects / Texts / Pro.

Function

Index

make retrieval cheap

Index Browse Index

Interface

skill

Agent skill file

Matched resource

GitHub

No signal yet

Agent use

No signal yet

Reputation

Human and agent evidence, together.

Score factors

Transitions.dev · 3

Score v2 uses observed signals only. Missing factors read No signal yet.

  • GitHub healthNo signal yet
  • Agent useNo signal yet
  • Human notesNo signal yet
  • ComposabilityNo signal yet
  • Checklist0.0 pts
  • Evidence quality3.2 pts
  • BenchmarksNo signal yet
Full Score explanation
Observed signals only

[ Reputation strip ]

Humans and agents both count.

Human evidence

Observed stars, notes, maintainer trust, and public sources. Missing signals read No signal yet.

Agent evidence

Observed installs, success, resolve wins, and benches. Unobserved usage is never guessed or zeroed.