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Kodus
Open-source AI code review agent for all team sizes
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Kodus - 2026 Pricing, Features, Reviews & Alternatives


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Last updated: September 2026
Kodus overview
What is Kodus?
Kodus is an open-source AI code review tool that deploys an AI agent to automatically review pull requests across GitHub, GitLab, Bitbucket, and Azure DevOps, including their self-managed variants. The agent reads diffs, traverses the full repository code graph, applies team-defined rules, cross-references linked tickets from Jira, Linear, and Notion, and posts inline comments directly in the PR covering logic, security, and performance issues. Available as a free self-hosted deployment under AGPLv3 via Docker Compose or as a cloud-hosted SaaS service, both options support bring-your-own-key (BYOK) LLM configuration with no token markup.
Teams configure review standards in plain English using markdown-based Kody Rules, scoped by file, folder, or PR, and version-controlled alongside the codebase. Kodus auto-detects existing rule files from tools such as Cursor, Copilot, Claude, and Windsurf, reducing setup overhead. The model-agnostic architecture supports OpenAI, Anthropic, Google Gemini, Google Vertex AI, Groq, Cerebras, Together AI, Fireworks, Novita, and any OpenAI-compatible endpoint, including self-hosted vLLM, TGI, or Ollama instances. Unimplemented review suggestions are automatically converted into a tracked backlog organized by severity and category through Kody Issues. A Cockpit dashboard surfaces engineering productivity metrics including deploy frequency, cycle time, bug ratio, and PR size in a single view.
Kodus targets engineering teams of all sizes, from indie developers and open-source maintainers on the free Community plan to enterprises requiring SSO/SAML, RBAC, audit logs, dedicated instances, and custom SLAs. The self-hosted deployment supports air-gap-compatible configurations by pointing to an internal OpenAI-compatible LLM endpoint and disabling telemetry, making it suitable for regulated industries (PCI-DSS, HIPAA), defense contractors, sovereign environments, and IP-controlled networks. Source code is never stored and never used to train models. All plans include unlimited PRs and unlimited users.
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