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Kodus

Open-source, AGPL-licensed AI code reviewer you self-host or run on your own model keys with zero markup

freemiumModel-agnostic and bring-your-own-key throughout — the pricing page states you pay OpenAI, Anthropic or Gemini directly with zero markup on AI costs, on top of the plan fee. Billing toggles monthly or annual with 20% off annual. The Community tier is free for indie developers, students and small teams, self-hosted or hosted by Kodus, and covers unlimited PRs using your own API key, unlimited users, unlimited issues on Quality Radar, up to 10 Kody Rules, up to 3 active plugins, Kody learnings and memory, and Discord community support. Paid tiers sit above it for teams needing more rules, plugins and support. A 14-day free trial covering up to 35 PR reviews runs with no credit card required, and the core remains AGPL-licensed source you can read and run on your own infrastructure at no cost.View full pricing →

About Kodus

Kodus is an open-source AI code reviewer positioned directly against CodeRabbit, and its commercial argument is a pricing structure rather than a feature list: the core is AGPL-licensed and self-hostable for free, and the cloud version runs on your own model API keys, so you pay OpenAI, Anthropic or Google at list price with no markup layered on top. The reviewer, called Kody, comments on pull requests across quality, security and performance, and the piece that distinguishes it from a generic LLM-on-a-diff is Kody Rules — reusable review rules drawn from real codebases that encode a team's conventions, plus a memory layer that carries learnings between reviews so the same nit is not raised forever. A Quality Radar surfaces issues across the repository rather than only in the diff under review. Around the product the team publishes an unusual amount of comparative research: benchmarks scoring AI review tools against real PRs, an LLM performance benchmark on real PR diffs, and a library of agent skills. For teams whose security review asks where the code goes, running the whole thing on their own infrastructure is the default rather than an enterprise upsell. Integration is through GitHub pull requests, and the vendor also publishes a changelog, a customers page and a security page describing how it handles code and keys.

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Key Features

AGPL open-source core, self-host at no cost
Bring your own model keys, no markup on AI spend
Kody Rules encode team conventions across repos
Quality Radar surfaces issues beyond the current diff
Published benchmarks against other AI review tools

Tags

code-reviewopen-sourceself-hostedpull-requestsbyok
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