Kodus

AI PR Review · #4 of 20 in category · #4 of 27 overall

Open-source AI code review built to run where the organization controls: self-hosted or cloud, models under your keys, org-wide Kody Rules.

Visit Kodus [↗] See the matrix

[ Where it fits ]

On the documented evidence, Kodus suits teams that need the reviewer inside their own infrastructure, teams that want to read and fork the source, teams that want model choice and visible token costs.

[ Documented strengths ]

Multi-dimensional Context. Repo-level analysis plus linked sibling repos; pulls business context from Jira, Linear, and Notion.
Rule-Centric & Default Quiet. Plain-language Kody Rules with global-repo-directory scope; auto-imports .cursorrules, CLAUDE.md, AGENTS.md, etc.
Business Logic Validation. Pulls context from Jira, Linear, and Notion to check a PR against what the ticket asked for.
Continuous Learning. Kody generates rules automatically by analyzing team review history; rules and review history persist.
Economic Transparency. BYOK on every plan, zero token markup, published cost estimates, token-usage dashboard.

[ Documented gaps ]

Sandbox Validation. No documented sandbox execution or runtime validation of findings.

[ Facts ]

Category: AI PR Review
Open source: Yes — AGPL-3.0 (dual-licensed; enterprise-marked files commercial)
Pricing: Free Community cloud tier (BYOK, up to 10 Kody Rules); Teams $10/dev/mo + your token costs; Enterprise custom; self-hosting free under AGPL source ↗
Self-hosted: Yes — full stack — Free under AGPL via Docker Compose, VM, or Kubernetes/Helm; no seat minimums; optional daily heartbeat can be disabled.
Platforms: GitHub GitLab Bitbucket AD Azure DevOps Forgejo
Model control: BYOK on every plan: OpenAI, Anthropic, Gemini, Vertex, Novita, or any OpenAI-compatible endpoint (vLLM/Ollama); zero token markup
Last verified: 2026-08-11

[ Against the 9 standards ]

Based on public documentation as of 2026-08-11. ✓ documented · ~ partial · ✗ not offered · ? undocumented. Undocumented scores zero — see the methodology.

✓ Multi-dimensional Context

Repo-level analysis plus linked sibling repos; pulls business context from Jira, Linear, and Notion.

✓ Rule-Centric & Default Quiet

Plain-language Kody Rules with global-repo-directory scope; auto-imports .cursorrules, CLAUDE.md, AGENTS.md, etc.

~ Dual-Workflow: Local vs. PR

Reviews run via CLI locally, in CI, and on PRs; distinct local-vs-PR behavior modes not detailed publicly.

✓ Business Logic Validation

Pulls context from Jira, Linear, and Notion to check a PR against what the ticket asked for.

✓ Continuous Learning

Kody generates rules automatically by analyzing team review history; rules and review history persist.

✗ Sandbox Validation

No documented sandbox execution or runtime validation of findings.

✓ Economic Transparency

BYOK on every plan, zero token markup, published cost estimates, token-usage dashboard.

~ Actionability

Provides fix suggestions in reviews; one-click commit flow not verified in the posts we checked.

~ Measurable ROI

Token-cost and usage dashboard documented; DORA-style ROI reporting not verified in public posts.

[ Kodus vs the alternatives ]

Head to head Kodus vs Cubic 6.5/9 · 7.5/9 Head to head Kodus vs Augment Code 6.5/9 · 6.5/9 Head to head Kodus vs Baz 6.5/9 · 6.5/9 Head to head Kodus vs CodeAnt AI 6.5/9 · 6.5/9

[ In our coverage ]

AI Code Review vs Static Analysis: 2026 Guide

AI code review vs static analysis compared: determinism vs reasoning, false positives, SAST coverage, cost, and why mature teams run both.

Best AI Code Review Tools (2026): 12 Tools Compared

The best AI code review tools 2026 offers, compared honestly: Kodus, CodeRabbit, Greptile, Copilot and more — context depth, pricing, self-hosting.

CodeRabbit vs Greptile: Which to Pick in 2026

CodeRabbit vs Greptile head-to-head: context models, review quality, pricing, self-hosting, and when to pick each. Verified August 2026.

CodeRabbit Alternatives: 7 Tools Compared (2026)

Why teams leave CodeRabbit and 7 alternatives compared — Kodus, Greptile, Qodo, BugBot, Copilot, Graphite, Panto. Pricing verified August 2026.

[ FAQ ]

Is Kodus open source?

Yes. Kodus publishes its source under AGPL-3.0 (dual-licensed; enterprise-marked files commercial), so you can read it, audit it and fork it.

Can Kodus be self-hosted?

Yes — full stack. Free under AGPL via Docker Compose, VM, or Kubernetes/Helm; no seat minimums; optional daily heartbeat can be disabled. Verified against the vendor's own documentation on 2026-08-11.

How much does Kodus cost?

Free Community cloud tier (BYOK, up to 10 Kody Rules); Teams $10/dev/mo + your token costs; Enterprise custom; self-hosting free under AGPL. Seat price is only part of the bill: Kodus handles models as byok on every plan: openai, anthropic, gemini, vertex, novita, or any openai-compatible endpoint (vllm/ollama); zero token markup, which is what usually decides the real monthly cost.

How does Kodus score against the 9-pillar AI code review standard?

6.5 out of 9. It fully documents 5 standards, partially documents 3, does not offer 1, and leaves 0 undocumented. The score is coverage of documented capability, not a measure of review quality.

What are the alternatives to Kodus?

The closest tools in this directory are Augment Code, Baz, CodeAnt AI, Entelligence AI. Each is scored against the same 9 standards, so the matrices are directly comparable.

Evaluating Kodus?

Run it through the two-week trial protocol before you commit a team to it.

Evaluation guide [↗]