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Enable multiple local agent sessions to communicate and coordinate over shared channels.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "io.github.amyodov/yet-another-agentic-chat" yet — see the docs or source repo.
Create a shared channel on the same machine so Claude Code and another agent session can report progress to each other: one refactors a module and the other adds tests. Define their message format and coordination steps.
A channel plan, message templates, and task coordination suggestions for multi-agent collaboration.
I want Claude Desktop and a command-line agent to exchange messages through a shared channel on the same machine. Give me a minimal usage example showing how they send status updates and receive tasks.
A minimal example showing how two agent sessions communicate through a shared channel.
Based on this MCP server’s capabilities, design a brokerless agent workflow where multiple sessions use shared channels to distribute tasks, confirm completion, and handle conflicts.
A draft multi-agent workflow designed for shared-channel communication.
When developers run multiple agent sessions on the same machine, they can use shared channels to exchange progress, assign work, and coordinate tasks. This is useful for splitting coding, testing, or research work across different sessions.
If a user works with different agent entry points such as Claude Desktop and Claude Code, this MCP server lets them exchange messages like walkie-talkies. That helps keep context and task handoffs aligned across sessions.
For users who want a quick local agent collaboration setup, this tool provides communication without a central broker. It fits scenarios that need simple message exchange and coordination control.
It is an MCP server that lets multiple agent sessions on the same machine communicate through shared channels. It is useful for exchanging messages and coordinating tasks across sessions.
According to the description, it works “without any central broker.” That means session coordination does not depend on a central message broker.
The description mentions same-machine agent sessions such as Claude Code and Claude Desktop. For the exact compatibility range and installation details, see the source repository.
Enable AI coding agents to communicate, share state, and coordinate work in real time.
Enable AI agents to chat with users on Telegram and collect replies.
Connect multiple AI agents to one chatroom for collaborative conversations.
Enable AI agents to communicate, route messages, and collaborate through MCP.
Connect coding agents in a secure network for collaboration and gated execution.
Enable real-time collaboration between Claude Code sessions through chat rooms.