Awesome AI AgentsMulti-Agent Frameworks

yohey-w/multi-agent-shogun

⭐ 1356 Shell repository created 2026-01-25

multi-agent-shogun is a Bash and tmux based orchestration system that runs many AI coding CLI instances at the same time under a hierarchy borrowed from feudal Japan. The user gives an order to the Shogun pane, the Shogun delegates to a Karo that breaks the work down, and seven Ashigaru workers plus one Gunshi strategist execute in parallel, each in its own visible tmux pane. Supported CLIs include Claude Code, OpenAI Codex, GitHub Copilot, Kimi Code, OpenCode, Cursor and Antigravity, so the system is not tied to a single vendor. Requirements are tmux, Bash 4 or newer and at least one supported CLI; setup runs a first_setup.sh script that configures dependencies and MCP, after which a launch script starts all agents. The main design claim is zero coordination overhead: agents communicate by reading and writing YAML files on disk rather than through model calls, so tokens are spent on actual work instead of orchestration. Every instruction, report and decision is therefore a plain text file that can be read, diffed and version-controlled, and progress is visible live in tmux panes and a dashboard. The chain of command is meant to prevent conflicts by giving each agent clear ownership and dedicated files with event-driven communication and no polling. Persistent preferences across sessions are handled through a Memory MCP server, and the project also advertises bottom-up automatic skill proposal. The README argues for driving flat-rate CLI subscriptions rather than per-token APIs, since running eight strong agents through an API would cost far more per hour than a monthly subscription. A note at the top records that the author has since moved to a single-agent successor project called kagemusha, while this project continues to work as is.

https://github.com/yohey-w/multi-agent-shogun

multi-agentorchestrationtmuxcoding-agentsclaude-code

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