$git clone https://github.com/secureagentics/Adrian---
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| 2 | <picture> |
| 3 | <source media="(prefers-color-scheme: dark)" srcset="assets/adrian-logo-dark.png"> |
| 4 | <img src="assets/adrian-logo-light.png" alt="Adrian by Secure Agentics" width="360"> |
| 5 | </picture> |
| 6 | </p> |
| 7 | |
| 8 | <h3 align="center">Agent attacks slip past static analysis and network monitoring.</h3> |
| 9 | <p align="center"><b>Adrian catches them at runtime, by watching what the agent actually does (its actions and its reasoning) and stepping in before it acts. Open source, free forever.</b></p> |
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| 11 | <p align="center"><b>+35% detection accuracy · 4x more nuanced attacks caught</b> vs behaviour-only monitoring (<a href="https://arxiv.org/pdf/2503.11926">OpenAI & DeepMind research</a>)</p> |
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| 13 | <p align="center"> |
| 14 | <a href="https://github.com/secureagentics/Adrian/stargazers"><img src="https://img.shields.io/github/stars/secureagentics/Adrian?style=social" alt="Stars" /></a> |
| 15 | <a href="LICENSE"><img src="https://img.shields.io/badge/licence-Apache--2.0-blue.svg" alt="Licence" /></a> |
| 16 | <a href="https://app.adrian.secureagentics.ai/"><img src="https://img.shields.io/badge/Dashboard-Sign%20Up-22C55E" alt="Dashboard" /></a> |
| 17 | <a href="https://pypi.org/project/adrian-sdk/"><img src="https://img.shields.io/pypi/v/adrian-sdk.svg" alt="PyPI" /></a> |
| 18 | <a href="https://discord.gg/Vq2VyYrw8Z"><img src="https://img.shields.io/badge/Discord-Join-5865F2?logo=discord&logoColor=white" alt="Discord" /></a> |
| 19 | <a href="https://www.linkedin.com/company/secure-agentics"><img src="https://img.shields.io/badge/LinkedIn-Follow-0A66C2?logo=linkedin&logoColor=white" alt="LinkedIn" /></a> |
| 20 | <a href="https://www.producthunt.com/products/adrian?embed=true&utm_source=badge-featured&utm_medium=badge&utm_campaign=badge-adrian" target="_blank" rel="noopener noreferrer"><img src="https://img.shields.io/badge/Product%20Hunt-Featured-DA552F?logo=producthunt&logoColor=white" alt="Product Hunt" /></a> |
| 21 | </p> |
| 22 | |
| 23 | <p align="center"><i>⭐ If you think agents need a runtime security layer, star the repo. It is how new people find Adrian, and how we know to keep building it in the open.</i></p> |
| 24 | |
| 25 | --- |
| 26 | |
| 27 | Adrian is an open-source, [AARM-aligned](https://aarm.dev) runtime security monitoring and control engine for AI agents. It analyses both agent activity logs (tool calls, actions, outputs) and reasoning traces to detect malicious, misaligned, or out-of-remit behaviour, and optionally intervene in-flight. SDKs are available for Python (LangChain) and TypeScript ([sdk/typescript/README.md](sdk/typescript/README.md)), plus a native [Claude Code plugin](integrations/claude-code/README.md) that secures every tool call from your terminal. |
| 28 | |
| 29 | > **🆕 Claude Code plugin - now live.** Drop Adrian into Claude Code and every tool call is classified in real time, with risky actions blocked or held for your approval right in the terminal. No code changes: install with `/plugin marketplace add secureagentics/Adrian` then `/adrian-init`. Full guide: **[integrations/claude-code/README.md](integrations/claude-code/README.md)**. |
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| 31 | <p align="center"> |
| 32 | <a href="https://docs.adrian.secureagentics.ai">Documentation</a> • |
| 33 | <a href="https://app.adrian.secureagentics.ai">Dashboard</a> • |
| 34 | <a href="https://discord.gg/Vq2VyYrw8Z">Discord</a> • |
| 35 | <a href="https://www.linkedin.com/company/secure-agentics">LinkedIn</a> |
| 36 | </p> |
| 37 | |
| 38 | > **▶️ See it in action:** Adrian catches an agent going out-of-remit in real time and steps in before the action lands. |
| 39 | |
| 40 | https://github.com/user-attachments/assets/ba50e6e4-fe3e-47b2-aa69-2902e1ef2924 |
| 41 | |
| 42 | <sup>New to Adrian? Check out the [Launch Video](https://www.youtube.com/watch?v=NkEISlRhyFs).</sup> |
| 43 | |
| 44 | ## Why Adrian is different |
| 45 | |
| 46 | Most agent monitoring stops at activity logs: APIs, MCP, DB interactions, tool calls, etc. Adrian enhances this by also analysing the agent's reasoning: understanding _why_ it took an action, under what context, and what it is planning on doing next. Combining behaviour and reasoning analysis like this is exactly what the [Open |