LF-Decentralized-Trust-labs/gitmesh — GitMesh: Policy-as-Code Engine for Open Source AI Agent Orchestration

Description and use

GitMesh is an open‑source policy‑as‑code engine that enables secure, automated orchestration of AI agents within Git‑based workflows. By defining trust and execution policies as code, it lets developers declaratively manage how open‑source AI models and tools are accessed, combined, and run across distributed environments. The project targets orchestration, AI/ML, and security use cases, providing a flexible framework for trustworthy AI agent pipelines.

Problem

LF-Decentralized-Trust-labs/gitmesh helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

Early or unclear: treat as research material until maintenance, releases, docs, and issue activity are verified.

Workflow

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Evidence

GitMesh: Policy-as-Code Engine for Open Source AI Agent Orchestration

Source