by faramesh · MCP Server · ★ 91
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Every agent tool call is a policy decision. Declare permissions in . A local daemon permits, defers, or denies each tool call before it runs. Decisions are hash-chained in a WAL. No SDK lock-in. No cloud required. <img alt="Quickstart" src="https://img.s
| Stars | 91 |
| Forks | 17 |
| Language | Go |
| Category | MCP Server |
| Quality Score | 64.4037891905611/100 |
| Open Issues | 10 |
| Last Updated | 2026-06-27 |
| Created | 2026-01-14 |
| Platforms | go, mcp |
| Est. Tokens | ~16k |
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faramesh-core is Governance-as-Code for AI agents. Declarative constraints with deterministic enforcement. Provisioning Identity, Tool-based rules, Brokering Credentials & Ensuring safe deployment. It is categorized as a MCP Server with 91 GitHub stars.
faramesh-core is primarily written in Go. It covers topics such as agent-governance, agent-governance-toolkit, agent-runtime.
You can find installation instructions and usage details in the faramesh-core GitHub repository at github.com/faramesh/faramesh-core. The project has 91 stars and 17 forks, indicating an active community.
The top alternatives to faramesh-core on Agent Skills Hub include DashClaw, oreilly-ai-agents, eval-view. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.