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10 changes: 8 additions & 2 deletions README.md
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[![GitHub Stars](https://img.shields.io/github/stars/ExposureGuard/haldir?style=social)](https://github.com/ExposureGuard/haldir)
[![SafeSkill 89/100](https://img.shields.io/badge/SafeSkill-89%2F100_Passes%20with%20Notes-yellow)](https://safeskill.dev/scan/exposureguard-haldir)

**The open-source governance layer for AI agents.** Identity, secrets, audit, and policy enforcement — MIT licensed, self-host or use our cloud.
**Your AI agent can call any API, spend any amount of money, and access any secret — with zero oversight. Haldir sits between your agent and its tools to enforce scoped sessions, encrypted secrets, spend caps, and a tamper-evident audit trail.** Identity, secrets, audit, and policy enforcement — MIT licensed, self-host or use our cloud.

Haldir enforces governance on every AI agent tool call: scoped sessions with spend caps, encrypted secrets the model never sees, hash-chained tamper-evident audit trail, human-in-the-loop approvals, and a proxy that intercepts every MCP call before it reaches your tools. Native SDKs for LangChain, CrewAI, AutoGen, and Vercel AI SDK.
Haldir sits between your agent and its tools to enforce:
- Scoped sessions with spend caps
- Encrypted secrets the model never sees
- Tamper-evident, hash-chained audit trail
- Human-in-the-loop approvals

For developers and teams shipping AI agents to production.

<p align="center">
<img src="demo/quickstart.svg" alt="Haldir quickstart: install, create a scoped session, check permission, log the action to the hash-chained audit trail" width="780">
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