agent-coherence is an open-source Python package that optimizes token usage in multi-agent LangGraph systems using MESI cache coherence. It helps AI developers reduce shared-artifact token costs and improve efficiency in distributed agent workflows.
In the AI & ML space, agent-coherence takes a focused approach. It focuses on reducing token costs and improving efficiency in multi-agent LangGraph AI systems. It is built as an open-source project for AI developers using LangGraph. agent-coherence is open source under the Apache-2.0 license. The product ships for the command line and API, and it can be self-hosted.
It is developed by hipvlady, and the product first shipped in 2026. Development happens publicly on GitHub with 397 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — agent-coherence occupies a relatively distinct niche. Key capabilities include token optimization, MESI cache coherence, and langGraph integration.
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