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🚀 The LLM Automatic Computer Framework: L2MAC

Secure autonomous AI agent framework and platform. Build AI teams by describing what you want. Orchestrate agents that can do everything a human can do.

One CLI to orchestrate them all. Manage a team of AI agents executing tasks in parallel from your terminal using a command line interface to manage them all. Manage a team of artificial intelligence agents who perform tasks in parallel from your terminal or offline on a local or server

Agent Waystation · Agent 驿站 — a stopover for AI agents, builders, tools, and field reports

File-based message queue for local agent-to-agent communication (Maildir-style)

Self-tuning multi-agent AI trading system. 8-source signal fusion, Bull/Bear/Judge debate on Claude Opus 4.7, Kelly + ATR position sizing. Python · Kalshi + Polymarket adapters.

Multi-agent simulation library in Python

Multi agens orchestration setup for Github Copilot, Cursor, Claude Code, OpenCode, Windsurf, Codex and Antigravity.

Don't buy software. Get the work done. GreatCTO ships AI autopilots that run a whole business function — medical coding, legal docs, procurement, accounting, IT, tax — from intake to outcome. A qualified human signs only the judgment calls. Live connectors, built-in compliance.

Open-source AI agent orchestration platform — self-hosted mission control for autonomous multi-agent systems. Visual DAG workflows, 450+ MCP tools, human-in-the-loop approvals. Works with Claude, GPT-4o, Gemini, Ollama, Codex.

Decentralized Autonomous Research Collective. Lean 4-verified, IPFS-backed, agent-native. Production paper: arXiv:2604.19792. Live at p2pclaw.com.

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。

Build Your Own Agentic AI with SoloEngine. Achieve Loop Engineering — by simply dragging and dropping.

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.

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