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Run a company of AI agents on a server you own. Spin up named agents (claude, codex, pi…), put them on an org chart with a shared backlog, let them hand off work and ping your phone only when a human must decide. MIT.
Decentralized Autonomous Research Collective. Lean 4-verified, IPFS-backed, agent-native. Production paper: arXiv:2604.19792. Live at p2pclaw.com.
Build Your Own Herness with SoloEngine. Achieve Loop Engineering — by simply dragging and dropping.
最简单的 OpenClaw 入门手册:从零到接飞书/Telegram/WhatsApp、改人设、多 Agent 实践,零基础可读。
Lightweight AI agent runtime for Go. Define multi-agent crews in YAML, run them with goroutines and channels, and let the runtime handle scheduling, parallelism, retries, and observability — without leaving the Go ecosystem.
Skill-as-API: P2P agent collaboration over XMTP. Call remote skills without exposing code. E2E encrypted, revocable trust, async delegation. Zero deps.
A command center for AI coding agents — run Claude, Gemini & Codex in parallel, each in its own git worktree
AI team for Codex — researcher, PM, architect, developer, QA, and reviewer orchestrated through a configurable pipeline.
LLM Council fork with persistence, decision traces, stability fixes, repeatable checks, and MCP integration.
Orchestrate coding agents across repos. Local-first, self-hosted, runs inside your existing Claude / Codex CLI.
⚡ Simple Agent Engine — Orchestrate AI coding agents from your terminal. No frameworks, just bash, jq, and tmux.
Message queue for AI coding assistants. Let your AI agents talk to each other.
Shared versioned state for multi-agent AI workflows. An MCP server.
ADAS MCP Server — build, validate, and deploy multi-agent solutions from any AI environment