Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Orchestrate AI agents to find real vulnerabilities in code.
| Date | Stars |
|---|---|
| 2026-07-31 | 463 |
| 2026-08-06 | 463 |
Today
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Momentum
35.0
growth rate 0.00%/day
<div align="center"> <picture> <source media="(prefers-color-scheme: dark)" srcset="docs/images/logo-dark.png" /> <img alt="open·kritt" src="docs/images/logo-light.png" width="96" height="96" /> </picture> # open·kritt **Orchestrate AI agents to find real vulnerabilities in code.** An open-source, self-hosted security research platform that turns focused AI analysis into de-duplicated, ranked findings with configurable validation and enrichment. [](LICENSE) [](https://github.com/Kritt-ai/open-kritt/releases) [Website](https://kritt.ai) · [Documentation](https://docs.kritt.ai) · [Getting started](https://docs.kritt.ai/getting-started/installation-and-setup) · [Contributing](CONTRIBUTING.md) · [Research paper](https://kritt.ai/open-kritt-launch) · [Discord community](https://t.co/WzXMUKWxcR) · [Twitter](https://x.com/Kritt_AI) </div>  ## What is open·kritt? Pointing a model at an entire repository and asking it to find vulnerabilities rarely works well. open·kritt takes a focused approach: break the research into small, well-defined tasks, run them across AI agents in parallel, and combine their output into findings you can validate and prioritize. It is built for security researchers and security-minded developers who want control over their prompts, workflows, model providers, and infrastructure. ### What it does - **Build workflows** — chain focused prompts into reusable security research playbooks. - **Run scans** — analyze remote or local repositories and their dependencies with Codex or Claude Code. - **Verify findings** — use post-scripts to validate issues, build proofs of concept, and produce reports. - **Prioritize results** — apply custom severity rankers, a consistent finding schema, and automatic de-duplication. - **Bring your own model access** — use a Codex login or connect through OpenAI, Anthropic, or OpenRouter. > **Built from real security research.** The Kritt team has earned over **$1,500,000 in > bug-bounty payouts** under the researcher name **Blockian** > ([Immunefi](https://immunefi.com/profile/Blockian/) · > [HackenProof](https://hackenproof.com/hackers/Blockian) · > [blockian.xyz](https://blockian.xyz) · [@Kritt_AI](https://x.com/Kritt_AI)). > open·kritt is the open-source distillation of the internal project behind that work. ## Getting started You need Git, Docker with Docker Compose, and Node.js 20 or newer. The repository-local CLI has no install step. ```bash git clone https://github.com/Kritt-ai/open-kritt cd open-kritt ./kritt setup ./kritt start ``` Open [http://localhost:5173](http://localhost:5173) once the stack is running. You only need one model-access option; `./kritt setup` guides you through the available logins and API keys. A `GITHUB_TOKEN` is optional and only needed for private GitHub repositories. The default ports bind to `127.0.0.1`, and the backend does not include application authentication. Keep the stack private. Tool-enabled agents run as root inside disposable job containers, with writable repository copies and direct internet access so they can install tools, compile targets, run tests, and build proofs of concept. Run open·kritt on a dedicated Docker host or VM; see the [threat model](docs/threat-model.md) before scanning untrusted code. For prerequisites, manual Docker setup, and provider-specific instructions, read the [installation guide](docs-site/getting-started/installation-and-setup.mdx) and [AI provider setup](docs-site/ai-provider-setup/overview.mdx). ## Documentation Preview the documentation locally with Mint: ```bash npm install -g mint cd docs-site npm run dev ``` Open [http://localhost:3001](http://localhost:3001) to view the site. - [Product overview](docs-site/getting-started/welcome.mdx) - [Run your firs
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:ba0e3c5419c9d989, topic:agents, desc:ai agents