uber/ADR
ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
1 release in the last 90 days, the latest 86 days ago, with 22 contributors on GitHub.
Peaked at #98 in the weekly ranking the week of Oct 11, its best in the past year.
Use Cases & Benefits
- Secures enterprise AI agents by providing observability, security benchmarking, and threat detection capabilities.
- Integrates multiple complementary components to detect and prevent risky AI agent behaviors in realistic enterprise environments.
- Use for monitoring and understanding AI agent activities across diverse tools and platforms in production settings.
- Use for benchmarking AI agent security against a comprehensive suite of attack techniques and simulated enterprise conditions.
- Use for detecting suspicious or unsafe AI agent actions using a dual-tier detection architecture combining triage and deep reasoning.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
ADR (Agentic AI Detection and Response) is an enterprise security system for AI agents. It helps organizations secure employee-facing agents such as Cursor, Claude Code, and Codex, as well as customer-facing agents such as AI support agents.
ADR is deployed in production at Uber, and the accompanying paper was accepted to MLSys 2026: Paper PDF · Slides PDF
ADR secures enterprise AI agents through four complementary capabilities: observing agent activity, evaluating defenses, detecting threats, and preventing unsafe actions.
This repository contains the open-source ADR Sensor, ADR-Bench, and ADR Detector described in the paper. The offline ADR Explorer engine, which hardens ADR Detection through pre-deployment red teaming, is not included here.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+1,466 stars over 83 days across 15 snapshot days; best day +356 on Aug 5.
Forks
227+161
Open issues
51+43
Compared with peers in AI Agents
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| vercel-labs/agent-desktop | 17.0K | +13.3K | 33 | today |
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| stablyai/orca | 116.8K | +6.6K | 40 | today |
| milind-soni/OpenMausBot | 13.5K | +6.0K | 45 | today |
| HKUDS/DeepTutor | 55.5K | +5.5K | 65 | 5 days ago |
| uber/ADR | 2.1K | — | 54 | 86 days ago |
| Category median | 55.5K | +6.6K | 40 | — |
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