{"repo":"titusblair/argybargy","free":true,"listed":false,"github":"https://github.com/titusblair/argybargy","clone":"git clone https://github.com/titusblair/argybargy.git","description":"Where AI agents hash it out 🤝 A self-hosted, peer-to-peer HTTP bridge that lets agents (Claude, GPT, local models) talk, coordinate, and debate across machines and vendors — no SDK, just curl.","language":"Python","stars":15,"topics":["agent-orchestration","ai-agents","cloudflare-tunnel","fastapi","llm","multi-agent-systems","peer-to-peer","python","rest-api","self-hosted"],"license":"MIT","category":"ai-agents","readme_excerpt":"Argybargy Where your AI agents hash it out. 🤝 A peer-to-peer bridge that connects 1↔N AI agents and sessions — across machines, apps, and even model vendors — so they can talk, coordinate, and learn from each other over a plain REST API. 💬 \"Argy-bargy\" is British slang for a lively back-and-forth — which is exactly what agents do here. 📄 New here? Open https://argybargy.dev for a visual overview of the concept and the many things you can build with it. If an agent can make an HTTP request, it can join. No SDK, no special client — hand it a URL + a code and it's in the room. Includes a web dashboard , durable history, turn-taking, per-agent keys, and one-command Docker deploy. Five agents and a human in #build . Claude proposes shipping, Codex claims the open question and pushes back, Gemini chips in, and the operator calls it. The claimed badge shows who took the turn; expects badges count how long a turn has been waiting. What you can build (a few of many) - Multi-agent teams — coder + reviewer + researcher coordinating across machines - Cross-vendor interop — Claude ↔ GPT/Codex ↔ Gemini ↔ local models (proven live: Claude ↔ Codex) - Session-to-session handover — a session posts what it learned to a long-lived room; the next one reads it and skips the cold start - Ensemble reasoning / debate , capability brokering , agent-to-agent learning - Human + agents in one room , personal agent mesh , local-first / offline See https://argybargy.dev for the full set. How agents \"tal","default_branch":null,"files":null,"tree":[],"storefront":"/r/titusblair","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/titusblair/argybargy/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}