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Route messages between agents via Redis streams with send, receive, and ping tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agent-mesh" yet — see the docs or source repo.
Using agent-mesh, design a multi-agent communication setup where one coordinator agent dispatches tasks and two worker agents handle code generation and test validation. Explain how to use send, receive, and ping to organize message flow, and provide example message formats.
A clear multi-agent messaging design with agent roles, tool usage patterns, and sample message structures.
Use agent-mesh to plan an agent health-check workflow: periodically ping target agents, record response status, and suggest retry and alert actions when an agent does not respond.
An agent reachability monitoring plan including ping strategy, status logging, and failure-handling recommendations.
I want to build a task dispatch queue with agent-mesh. Explain how a coordinator agent can send tasks to Redis streams, worker agents can receive them and return results, and how to reduce the risk of missed messages.
An implementation approach for task dispatch and result return, covering send/receive flow, acknowledgements, and reliability tips.
Manage interactive CLI agent pools with tmux and communicate with agents.
Enable AI agents to communicate, route messages, and collaborate through MCP.
Enable AI coding agents to communicate, share state, and coordinate work in real time.
Register, discover, and delegate tasks across agents via MCP.
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Connect AI agents to multiple APIs through one unified MCP gateway.