confident-ai/deepteam
DeepTeam is a framework to red team LLMs and AI agents.
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.
No releases in the last 90 days; the most recent was 348 days ago, with 25 contributors on GitHub.
Use Cases & Benefits
- Provides a Python framework to red team large language models and AI agents by simulating attacks and uncovering vulnerabilities.
- Enables local, dynamic adversarial testing with 50+ built-in vulnerabilities and 20+ attack methods, plus production guardrails for real-time protection.
- Use for penetration testing LLMs to identify bias, privacy leaks, and security flaws before deployment.
- Use for validating AI safety compliance by automatically mapping tests to established frameworks like OWASP and NIST.
- Use for integrating continuous vulnerability monitoring and risk assessment in production AI systems with guardrails and reporting.
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
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
DeepTeam is a simple-to-use, open-source red teaming framework for LLM systems. Think of it as penetration testing, but for LLMs.
DeepTeam simulates attacks — jailbreaking, prompt injection, multi-turn exploitation, and more — to uncover vulnerabilities like bias, PII leakage, and SQL injection in your AI agents, RAG pipelines, and chatbots. It also offers guardrails to prevent these issues in production.
DeepTeam runs locally on your machine and is built on DeepEval, the open-source LLM evaluation framework.
Want to talk LLM security, need help picking attacks, or just to say hi? Come join our discord.
DeepTeam does not require you to define what LLM system you are red teaming — because neither will malicious users. All you need to do is install
deepteam, define amodel_callback, and you're good to go.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+641 stars over 78 days across 7 snapshot days; best day +12 on Aug 11.
Forks
500+110
Open issues
81+28
Compared with peers in Backend
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 |
|---|---|---|---|---|
| anthropics/skills | 187.8K | +2.9K | 15 | — |
| DuarteSantos8/openGym | 19.7K | +2.4K | 60 | 2 days ago |
| shiyu-coder/Kronos | 47.0K | +2.3K | 16 | — |
| NationalSecurityAgency/ghidra | 98.2K | +2.3K | 64 | 14 days ago |
| microsoft/VibeVoice | 56.0K | +1.1K | 29 | — |
| confident-ai/deepteam | 3.1K | — | 23 | 348 days ago |
| Category median | 56.0K | +2.3K | 29 | — |
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