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Argus

Open-source AI code review that learns from your team

Argus enhances GitHub pull request reviews with specialized agents for identifying bugs, security vulnerabilities, architectural concerns, and potential regressions. Key features include: • Context-aware review depth based on code changes • Findings linked to concrete failures and proposed fixes • Learns from team feedback and past resolutions • Transparency into checks performed and review costs This open-source tool, released under AGPL-3.0, offers self-hosting flexibility and allows users to integrate their own language model keys, ensuring cost control. It effectively builds institutional memory by incorporating past fixes and team interactions into future analyses, preventing recurring issues. Argus is ideal for development teams and software engineers seeking to improve code quality, enforce best practices, and reduce post-deployment defects. It provides a robust layer of scrutiny, ensuring that no change merges unseen and that critical insights from previous incidents are continuously applied.
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