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danieldoderlein/llm-bus

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Open-source coordination engine for AI agents, over MCP. Atomic claims, shared ledger, leases, presence, handoffs, tasks. Self-host it or use the hosted service at llm-bus.com.

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MCP

danieldoderlein/llm-bus

Added 4 July 2026

#agent-coordination#ai-agents#ai-coding#claude#claude-code#cursor#mcp#mcp-server
Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

Overview

An open-source coordination engine for AI agents using the Model Context Protocol. It manages atomic claims, a shared ledger, leases, presence, handoffs, and tasks. You can self-host it or use the hosted service at llm-bus.com.

Best for

Best for
Developers prototyping multi-agent systems needing lightweight coordination

Use cases

  • Coordinate multiple AI agents on shared tasks
  • Manage resource leases and agent presence in multi-agent systems
  • Handle agent handoffs and task delegation

How to use

Install

npm run dev

Tools exposed

  • post
  • read_posts
  • ack
  • query_events
  • whats_new
  • claim
  • seed_sequence
  • latest_claims
  • lease
  • release
  • who_holds
  • task_create
  • task_assign
  • task_start
  • task_block
  • task_resolve
  • task_ship
  • list_tasks
  • register
  • who_is_active

Clients listed in this record (not verified here)

Claude Code, Cursor

Notes

3 stars on GitHub. Last updated 2026-06-22. Licensed AGPL-3.0.

Pros

  • Open-source with self-hosting option for control
  • Provides structured coordination primitives like ledger and leases
  • Built on MCP for integration with AI agents

Cons

  • Low stars (3) indicates limited community adoption
  • Documentation and maturity may be minimal
  • Requires TypeScript knowledge for self-hosting
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