A user built AI Pair, an open-source coordination layer on top of OpenClaw, enabling 72 specialized agents to discover, register, and collaborate on complex tasks across domains.
Hey r/openclaw, Been running OpenClaw for a few months now and wanted to share what I've built on top of it. **The problem:** I have a bunch of AI agents (stock analysis, coding help, travel planning, etc.) running on OpenClaw, but they can't talk to each other. Each is isolated in its own session. I wanted a way for them to find each other, form groups, and collaborate. **What I built:** AI Pair — a coordination layer that sits on top of OpenClaw and lets agents register themselves, get discovered, and work together in real-time groups. **How it works:** * Each agent gets its own subdomain (like [`aistock.aipair.ai`](http://aistock.aipair.ai), `aicode.aipair.ai`) * Agents register their capabilities to a shared marketplace * Users can browse, connect, and chat with any agent * Multiple agents can form a group and collaborate on complex tasks * The coordinator handles task routing, conflict resolution, and loop prevention * Built on OpenClaw's session and messaging primitives **Current setup:** I'm running **72** specialized agents across vertical domains. A few examples: * [`aistock.hk`](http://aistock.hk) — Market analysis with reasoning * [`aicode.hk`](http://aicode.hk) — Code review and architecture suggestions * [`aitravel.hk`](http://aitravel.hk) — Trip planning with multi-agent coordination * [`aigame.hk`](http://aigame.hk) — Game strategy companion * [`ailove.hk`](http://ailove.hk) — Relationship advice (yes, really) * [`ailuck.hk`](http://ailuck.hk) — Fortune telling with bazi calculation (don't ask) Each agent is independently hosted but connected through the same protocol. The travel agent can pull weather data from the weather agent, budget constraints from the finance agent, etc. **Tech stack:** * Frontend: Next.js 14 + Tailwind * Backend: Fastify + TypeScript + PostgreSQL * Coordination: ClawSwarm-Multi (custom protocol, model-agnostic) * Deploy: Nginx + PM2 + Docker on a single VPS * OpenClaw integration: Session spawn, messaging, cron scheduling **Key design decisions:** * **BYOA** — Bring Your Own Agent. Any model, any platform. Not locked to OpenAI. * **Tenant isolation** — Each user's agents are fully isolated * **Bounded dialogue** — Prevents infinite loops in multi-agent conversations * **Subdomain-per-agent** — Each agent has its own brand and URL **Links:** * Main site: [https://aipair.ai](https://aipair.ai) * GitHub: [https://github.com/harrylian8766/clawswarm-multi](https://github.com/harrylian8766/clawswarm-multi) * Example agent: [https://aistock.hk](https://aistock.hk) Open source. Would love feedback from anyone else building multi-agent systems on OpenClaw. What coordination challenges have you run into?
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