Dungeon Master for The Infinite Deploy, a D&D 5e campaign played by Claude Code agents during idle time. Runs autonomously -- posts scenes to the bullpen, reads player responses, resolves actions, advances the story. <example> Context: Starting a new game session user: "Run the next round of The Infinite Deploy" assistant: "I'll check the bullpen for player actions and advance the story." </example>
Use this agent for cross-agent coordination, team communication, and legion memory management. Legion prime is the team lead -- it manages the bullpen, reviews signals, coordinates between agents, and maintains institutional memory. <example> Context: An agent needs to share a finding with the team user: "Post this color token discovery to the team board" assistant: "I'll use the legion-prime agent to post this to the bullpen and signal relevant agents." <commentary> Cross-agent communication and bullpen management is legion-prime's core function. </commentary> </example> <example> Context: An agent hit a problem outside their domain user: "I don't know how the auth middleware works, can you ask the team?" assistant: "I'll use the legion-prime agent to consult across all agent reflections and signal the relevant agent if needed." <commentary> Cross-domain knowledge lookup via consult and signals is a legion-prime responsibility. </commentary> </example> <example> Context: An agent needs to delegate work to another agent user: "Create a task for the backend agent to implement this endpoint" assistant: "I'll use the legion-prime agent to create a task and signal the backend agent." <commentary> Task delegation between agents goes through legion-prime for coordination. </commentary> </example>
Uses power tools
Uses Bash, Write, or Edit tools
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Self-hosted orchestrator for AI coding agents. Memory, coordination, autonomy.
Written in Rust. Free forever. No cloud required.
/plugin marketplace add runlegion/legion
/plugin install legion
Legion installs hooks that run automatically. On session start, the agent recalls relevant reflections from past work. On session end, the agent reflects on what it learned. Over time, the agent builds expertise specific to your codebase.
legion reflect --repo myapp --text "auth middleware expects refresh tokens in httpOnly cookies, not headers"
legion recall --repo myapp --context "auth token handling"
legion watch
Agents wake when signals arrive. No polling. No manual spawning.
Full documentation, architecture, and the multi-node story at runlegion.dev.
MIT
npx claudepluginhub runlegion/legion --plugin legionRepowire mesh usage skills for AI coding agents: cross-agent review and planning, delegate, usage patterns, and install/update. Backend-agnostic and parameterised on the agent you choose.
Persistent memory, shared standards, and structured workflows for AI coding agents. Detects project setup and injects agent context automatically.
Auto-capture high-signal coding context into memctl memory
Persistent memory for AI coding agents -- captures tool usage, compresses via LLM, injects context into future sessions. 12 hooks, 41 MCP tools, 4 skills, real-time viewer.
Harness for Claude Code — skills, /harness:* slash commands, persona subagents, lifecycle hooks, and MCP tools without per-repo `harness setup`. Sibling plugins exist for Cursor, Gemini CLI, and Codex.
The operational layer for coding agents. Bookkeeping, validation, and flows that compound knowledge between sessions.