Coordinate multiple agents with presence, resource locks, and durable repository messaging.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mesh" yet — see the docs or source repo.
Use mesh to coordinate multiple AI agents working in the same code repository: assign agent A to backend APIs, agent B to frontend pages, and agent C to testing. Enable presence broadcasting, resource locks for critical files, and durable messaging for progress updates and handoffs.
A multi-agent coordination setup that reduces file conflicts, duplicated work, and missed handoff details.
Use mesh to define resource lock rules for package.json, the database migration directory, and CI config files in the repository. When one agent holds a lock, notify other agents and redirect them to non-conflicting tasks.
A locking and notification workflow that helps agents avoid overwrites and conflicts during parallel development.
Use mesh to set up durable messaging that records each agent’s completed work, todo items, blockers, and next steps, so repository coordination context can be restored after agent restarts or session changes.
A durable coordination message flow that lets multi-agent work resume smoothly after interruptions.
Route requests across AI models for second opinions and multi-model workflows.
Connect coding agents in a secure network for collaboration and gated execution.
Enable AI coding agents to communicate, share state, and coordinate work in real time.
Register, discover, and delegate tasks across agents via MCP.
Route messages between agents via Redis streams with send, receive, and ping tools.
Enable AI agents to communicate, route messages, and collaborate through MCP.