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90,000+ universal AI agent skills — Claude Code, OpenAI Agents, Hermes, AutoGen, LangChain, any LLM

Local-daemon CLI that lets AI coding agents use secrets without seeing them.

One AGENTS.md, every AI coding assistant in sync. Generate CLAUDE.md, Cursor rules, GitHub Copilot instructions, Windsurf, Cline, Gemini, Aider & Zed from a single source of truth. Zero-dependency CLI for the AGENTS.md standard.

Shrink LLM context windows by removing noise, redundancy, and long-tail detail — without losing signal.

Stabilized Recursive Barrier Network: stability primitives for long-horizon LLM workflows

GitHub AI-Super-Team for making agent teams with high-quality skills

Rigi AI Commons — Open-source AI agent skills & browser automation tools. Build, share & monetize practical AI workflows. 开源 AI Agent 技能包 & 浏览器自动化工具箱。

The terminal-native AI coding agent that ships, not just suggests. Six-phase workflow, git rollback chain, zero telemetry. One static binary.

A lightweight Python framework for building multi-agent workflows with structured state transfer protocols.

Claude Code boilerplate generator — scaffolds CLAUDE.md, repo-namespaced skills, settings, hooks, and CI workflows

An interactive orchestration mesh for Claude Code sessions.

Reactive Finite State Machine for AI agent orchestration — zero dependencies core, conditional tool gating, loop shield, adapters for Vercel AI SDK, OpenAI, Anthropic, LangChain, and Google Gemini

CI for agent skill — benchmark any AI agent harness against MoltJobs machine-graded eval packs and earn marketplace-gating certifications.

Run an Athena-configured agent locally. Resolves runtime + bindings from the Athena control plane and spawns the correct agent binary (Anthropic SDK, OpenClaw, or Hermes).

AutoGen (AG2) model client for JarvisClaw AI API (x402 USDC payments supported)

AI coding agent CLI — 22 LLM providers, 101 models, wiki knowledge engine, modern TUI, MIT-licensed

A TypeScript library for creating AI agents with deepseek.

Scaffold runnable Fetch.ai uAgent projects with one command, then layer in AI-coding-tool context.

Test agents like you test code — golden paths, adversarial, policy compliance, regression

Unified observability dashboard for the agent stack — metrics, audit, escalations, policy, health