AIエージェント
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An open-source, privacy-first, self-hosted knowledge workspace where humans and AI agents work together 开源、隐私优先、自托管的知识工作空间，让人与智能体在此协作
★ 46.6k スターAGPL-3.0
ガイドを見る →open-krittは、Kritt-aiが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: Kritt-ai/open-kritt）。GitHubスターは2,236、フォークは383で、AGPL-3.0ライセンスの下で公開されています。GitHubでの最終更新は2026年10月5日です。
Self-hosted AI vulnerability research: agents find, validate, deduplicate, and rank real security issues.
Decide which codebase you want researched and how findings should be validated before they reach your team.
Clone the repository and follow the getting-started guide in the project documentation for the current self-hosted setup.
Configure the deployment with the model access and validation settings your environment requires.
Point an agent run at your code, then review the deduplicated, ranked findings it produces.
Multiple focused agents analyse code for security issues rather than relying on a single pattern-matching pass.
Candidate issues are validated with configurable checks, reducing the noise of unverified AI-generated reports.
Results are merged and ranked so reviewers see unique, prioritised findings instead of repeated alerts.
Findings can be enriched with additional context to support triage and remediation.
The platform runs on your own infrastructure, keeping proprietary source code inside your environment.
Positioned for vulnerability research and bug bounty style work, with a companion research paper and documentation site.
Get the source and its documentation locally.
git clone https://github.com/Kritt-ai/open-kritt.git
cd open-krittThe README directs users to the official getting-started guide for the current install steps.
# see README for the exact command - getting started: https://docs.kritt.aiConfigure the deployment per the docs, then start an agent run against a target repository. # see README for the exact command
# see docs.kritt.ai getting started for run commandsIt is maintained by Kritt-ai, the team behind kritt.ai.
The code is AGPL-3.0 licensed, so it is free to use and self-host, with copyleft obligations if you modify and distribute or serve it. Model usage for the agents is billed by your provider.
Yes in practice: the agents that perform the research run on LLM access that you configure and pay for.
Traditional SAST scanners match known patterns deterministically; Open Kritt orchestrates reasoning agents that search for and validate issues, which can surface logic flaws pattern tools miss, at the cost of model spend.
Clone the repository and follow the getting-started guide at docs.kritt.ai, which the README designates as the canonical setup path.
An open-source, privacy-first, self-hosted knowledge workspace where humans and AI agents work together 开源、隐私优先、自托管的知识工作空间，让人与智能体在此协作
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