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Orchestrate multiple AI agent CLIs for complex collaborative tasks with shared memory.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "overmind-mcp" yet — see the docs or source repo.
Using overmind-mcp, start a multi-agent task: have Claude-Code refactor the user authentication module, have Gemini-cli add unit tests, share context and intermediate findings, and finally output a merged change summary, risks, and next-step recommendations.
A consolidated development summary including agent roles, key code changes, test coverage, and risk recommendations.
Use overmind-mcp to coordinate multiple AI agents to investigate rising API latency in production: one agent analyzes logs, one checks deployment changes, and one summarizes likely root causes with troubleshooting order and fix recommendations.
A structured incident report with evidence, ranked root causes, recommended fixes, and follow-up monitoring items.
Use overmind-mcp to run a multi-agent research workflow: one agent gathers information on open-source AI agent frameworks, one compares feature differences, and one prepares selection advice, then produce a unified conclusion and decision table.
A research summary document with source findings, comparison tables, selection advice, and decision rationale.
Orchestrate multiple AI CLIs with retries, failover, and resilient task routing.
Connect multiple AI coding agents to collaborate on development tasks efficiently.
Connect coding agents to multiple models for in-chat consultation and code review.
Enable AI coding agents to communicate, share state, and coordinate work in real time.
Connect Claude Code to OpenClaw agents to query, invoke, and monitor them.
Create, manage, and compose AI agents for MCP-compatible clients and tools.