danieldoderlein/llm-bus

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

Notes

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.

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

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

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

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.