AIエージェント
Agent-Reach
Give your AI agent eyes on the whole internet: Twitter, Reddit, YouTube, GitHub and more, one CLI
★ 94.0k スターMIT
ガイドを見る →Monidは、monid-aiが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: monid-ai/monid）。GitHubスターは4,240、フォークは560で、MITライセンスの下で公開されています。GitHubでの最終更新は2026年10月15日です。
Monid — OpenRouter for agent tools: one base URL and one key give an agent 2,000+ tools across 72+ providers
The repo is the framework every Monid endpoint is described in.
Run the type checks and the 188 replay tests — they need zero network.
Export a vendor key and call an endpoint through the engine, or browse the compiled catalog from the CLI.
A single base URL and key front tools from 72+ providers, so agents stop juggling per-vendor integrations.
Every connector declares its usage model; billing settles on the raw response, and vendor errors or unmatched lookups settle at zero.
A discover step ranks the catalog for each request, so the agent gets the endpoint that fits instead of a hard-coded one.
New providers are described, not coded: provider definition, shared zod schema fragments, endpoint schemas and recorded fixtures.
Requires Deno 2.x.
git clone https://github.com/monid-ai/monid.git
cd monidTypes plus 188 replay tests, with zero network calls.
deno task check && deno task testInspect what exists before wiring anything up.
deno task catalog providers
deno task catalog endpoints --provider examonid-ai; the service site is monid.ai and docs live at docs.monid.ai.
The connector layer in this repo is MIT-licensed and open source; tool usage through the Monid service is metered per call.
Running real endpoints uses vendor keys (your own, in this repo) or a Monid key on the hosted service; the offline test suite needs none.
OpenRouter unifies model APIs behind one key. Monid does the same for tools — search, scraping, enrichment, generation — with per-call endpoint ranking and declared per-connector pricing.
Clone the repo with Deno 2.x installed, run deno task check && deno task test, then browse the catalog with deno task catalog.
Give your AI agent eyes on the whole internet: Twitter, Reddit, YouTube, GitHub and more, one CLI
An Agent OS with interview-gated, budgeted evolution — one MCP server across 14 agent runtimes.
A memory agent for your agent fleet: it curates, reconciles, and expires shared memories across tools.
Give your AI coding tool expert Swift Concurrency guidance.
Give it a GitHub issue and it tries to fix the code for you - the original SWE-bench agent
Snowflake's Agent World Model: synthesise 1,000 executable MCP tool-use environments for agentic RL.
LibreAIカタログに掲載されたAIエージェントプロジェクトの中で最もスターの多いもの — Monidが合わなかった場合に検討したい、現実的な候補リストです。
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
カタログの中でMonidとスター数が近いAIエージェントプロジェクト — 前後の棚もそのまま見て回れます。
Archestra: the enterprise AI platform — chat UI, LLM gateway, and MCP gateway with guardrails
ArcBox: a fast macOS-native container and VM runtime — a drop-in Docker engine with agent sandboxes
nono: zero-trust, zero-setup, zero-latency sandboxing and runtime security for AI agents
AdalFlow: The library to build & auto-optimize LLM applications.
The Ruby-native AI framework. Chats, agents, tools, images, audio, and video through one consistent API, in plain Ruby or Rails.
Excel MCP Server: let AI agents read, write, format, and chart real .xlsx workbooks — no Excel required