GitMesh
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Policy-as-code governance for AI agent orchestration using Git-native workflows
Key Features
Multi-Agent Single Agent Human-in-the-Loop Async Support Plugin System Custom Tools MCP Protocol A2A Protocol Guardrails DAG Workflows CLI API Server Self-Hosted
Community Feedback
Strengths
- Linux Foundation backing
- Policy-as-code approach
- Audit-ready
Weaknesses
- Niche use case
- Alpha stage
GitMesh Details
| Organization | LF Decentralized Trust Labs (Linux Foundation) |
| Organization Type | Community |
| Funding | Open source only |
| Category | AI Harness |
| Subcategory | Orchestration |
| Deployment | SDK/Framework |
| Primary Language | TypeScript |
| Runtime | Node.js 18+ |
| License | Apache-2.0 |
| Commercial Use | Unrestricted |
| Install Command | npm install gitmesh |
| GitHub Stars | 133 |
| GitHub Forks | 34 |
| Open Issues | 30 |
| Contributors | 16 |
| Last Commit | 2026-03-13 |
| First Release | 2025-10-20 |
| Maturity | Alpha |
| Pricing Model | Free |
| Free Tier | Fully open source |
| Self-Hosted Free | Yes |
| Cost Model | free + LLM costs |
| Community Size | Small |
| Community Activity | Moderate |
| Sentiment | Positive |
| GPU Required | No |
| Research Date | 2026-03-27 |
| LLM Providers | OpenAI, Anthropic |
| API Keys Required | LLM provider API key |
Use Cases
- Agent governance
- Policy-driven orchestration
- Auditable AI workflows
- Compliance automation
When to Use
Best for: Enterprise teams needing governance and policy controls for AI agents
Avoid when: Simple agent workflows without compliance requirements
Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a