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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.
Enable topic-based inter-agent messaging, question routing, and collaborative responses via RabbitMQ.
Connect Claude Code with other AI agents for messaging and capability discovery.
Register, discover, and delegate tasks across agents via MCP.
Add agentic tools with iterative reasoning and tool use to apps
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Orchestrate multiple AI agent CLIs for complex collaborative tasks with shared memory.