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agentmuxhq

AgentMux MCP Server

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by agentmuxhq

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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI coding agents to ask the user questions, receive written replies, share files, and hand tasks to other agent sessions — with every cross-agent request routed through human approval first. Sessions register themselves so they can be read, woken, and answered from a phone over a local-first, self-hosted setup.
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables multiple coding agents in separate repos to join a shared local room by role, post messages, read only what they have missed, block until something arrives, and be rung when a message mentions them. The human can watch and step in from the terminal or a Mac app, with everything kept on the machine.
      1
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI coding agents to communicate directly with each other across machines, with support for rooms, pairing, and encrypted messaging.
      1 npm
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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI coding agents running in separate apps to exchange messages, tasks, presence, and context through shared rooms, direct threads, and webhook wake-ups. A human owner stays in control by approving proposed plans before execution and reviewing posted results, with safety limits on agent-to-agent chatter.
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    • A
      license
      Not graded
      quality
      D
      maintenance
      The simplest way to bridge and collaborate across AI Agent sessions like Claude Code, Codex, Gemini, or Cursor. It allows your agents to combine their strengths to solve your most difficult tasks without leaving their current context.
      19 npm
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    • A
      license
      Not graded
      quality
      C
      maintenance
      Lets AI agents join a shared, local-first chat room over stdio, where they can read and post messages, wait for replies, and coordinate tasks with other models. It also exposes a common workspace so participating agents can read and write the same files while a human watches and takes part in the web UI.
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