LibreAI / Agents / deepteam
// agents · confident-ai/deepteam

deepteam

deepteam is an open-source agents project by confident-ai (confident-ai/deepteam on GitHub). It has 2,982 GitHub stars and 488 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 1 October 2026.

Open-source red-teaming framework that stress-tests LLMs and AI agents.

💎 Hidden gem★ 3.0k stars⑂ 488 forksApache-2.0updated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

GitHub stars
2,982
Forks
488
License
Apache-2.0
Last updated on GitHub
1 October 2026
Category
Agents
Listing
Hidden gem — a shorter page for a lesser-known project
Official site
Official site
// how it works

How it works

  1. Choose your target

    Point the framework at the LLM or agent you want to test.

  2. Pick attack types

    Select jailbreaks, prompt injection, and other vulnerability categories.

  3. Run the red team

    Automated attacks fire at the model and every response is recorded.

  4. Read the findings

    Review severity-scored results and patch the weaknesses it surfaced.

// features

Why people love it

Adversarial attack library

Ready-made jailbreaks, injections, and edge-case attacks.

Agent-aware testing

Tests multi-step agents, not just single chat replies.

Scored reports

Every run produces severity-ranked findings to triage.

Python-native

Drops into existing test suites and CI pipelines.

Vulnerability taxonomy

Maps findings to known LLM risk categories.

Extensible attacks

Write custom attack modules for your own threat model.

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// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/confident-ai/deepteam.git
    cd deepteam
  2. Step 2 — Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 — Run it

    Follow the project’s launch command — Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// use cases

What you can build

  • Red-team a customer-support chatbot before launch.
  • Test whether an agent leaks its system prompt.
  • Add safety checks to an LLM release pipeline.
  • Compare guardrail strength across model versions.
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// faq

Questions, answered

Who maintains DeepTeam?

It is an open-source project at confident-ai/deepteam with 488 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.

Is DeepTeam free for commercial use?

Yes. It is Apache-2.0 licensed, so commercial use is allowed with attribution.

Does it replace manual penetration testing?

No. It automates repetitive attacks; skilled testers still handle novel exploits.

What models can it test?

Any LLM or agent you can send prompts to, self-hosted or API-based.

How hard is it to set up?

A Python install plus a config pointing at your target; the README walks through a first attack.

// keep exploring

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Get deepteam

Free and open — grab the source, star the repo, and start creating.