Cohexa-ai/agent-coherence
by Various
The coordination layer for Multiplayer AI
MCP
Cohexa-ai/agent-coherence
Added 3 Sept 2026
Overview
A Python project that describes itself as the coordination layer for Multiplayer AI. It is designed to support the coordination of multiple AI agents in a shared workflow, and is published as an open-source repository on GitHub. The project is early-stage and currently has very limited adoption.
Best for
Best for
Python developers exploring coordinated multi-agent AI systems.
Use cases
- Coordinate multiple AI agents in a shared task
- Prototype a coordinated multi-agent workflow in Python
- Experiment with multi-agent systems in one repository
How to use
Install
pip install "agent-coherence[langgraph]" # LangGraph drop-in Tools exposed
swg_readswg_writeswg_reacquireswg_write_casswg_gateswg_status
Tested with
Claude Code, Cursor, ChatGPT
Notes
A Python project that describes itself as the coordination layer for Multiplayer AI. It is designed to support the coordination of multiple AI agents in a shared workflow, and is published as an open-source repository on GitHub. The project is early-stage and currently has very limited adoption.
12 stars on GitHub. Last updated 2026-09-02.
Use cases
- Coordinate multiple AI agents in a shared task
- Prototype a coordinated multi-agent workflow in Python
- Experiment with multi-agent systems in one repository
Pros
- Written in Python for easy adoption
- Focused scope on agent coordination
- Open-source code available for review and use
Cons
- Only 12 stars, indicating limited community interest
- Early-stage maturity with minimal adoption
- Little evidence of production use
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Written in Python for easy adoption
- Focused scope on agent coordination
- Open-source code available for review and use
Cons
- Only 12 stars, indicating limited community interest
- Early-stage maturity with minimal adoption
- Little evidence of production use
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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