Head to head · Verified 2026-08-11
Kodus vs PR-Agent
Kodus covers more of the baseline (6.5/9 vs 2.5/9), but the split matters more than the total. Everything below comes from each vendor's public documentation, mapped against the same 9 standards.
Kodus
AI PR Review
Open-source AI code review built to run where the organization controls: self-hosted or cloud, models under your keys, org-wide Kody Rules.
- Licence
- Open source
- Self-hosting
- Self-hostable
- From
- $10/dev/mo
PR-Agent
AI PR Review
Community-maintained, MIT-licensed PR reviewer with /review, /describe, and /improve commands, self-hosted with your own model keys.
- Licence
- Open source
- Self-hosting
- Self-hostable
- From
- Free (MIT)
The short answer
Across the 9 standards, Kodus is better documented on 5 (context depth, rule control, business-logic checks, learning from your team and ROI reporting), PR-Agent on 0 (none), and 4 come out even.
Pick Kodus if you care most about context depth, rule control and business-logic checks, the reviewer has to run inside your own infrastructure and you want to read the source before you trust it.
Pick PR-Agent if the reviewer has to run inside your own infrastructure, you want to read the source before you trust it and you want model choice and visible token cost.
Side by side
| Fact | Kodus | PR-Agent |
|---|---|---|
| Licensing • | Open source — AGPL-3.0 (dual-licensed; enterprise-marked files commercial) | Open source — MIT |
| Self-hosting | Yes — full stack | Yes — full stack |
| Free tier • | Limited free tier | Free tier |
| 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 | Free and open source (MIT); you pay only infrastructure and LLM API usage at provider list price. Transferred from Qodo to a community org in 2026 |
| Model control • | BYOK on every plan: OpenAI, Anthropic, Gemini, Vertex, Novita, or any OpenAI-compatible endpoint (vLLM/Ollama); zero token markup | Full BYOK via LiteLLM: OpenAI, Claude, Gemini, Mistral, DeepSeek, Azure OpenAI, Bedrock, Vertex, OpenRouter, local Ollama |
| Platforms • | GitHub, GitLab, Bitbucket, Azure DevOps, Forgejo | GitHub, GitLab, Bitbucket, Azure DevOps, Gitea |
| Last verified | 2026-08-11 | 2026-08-11 |
• marks a row where the two genuinely differ.
All 9 standards
✓ documented · ~ partial · ✗ not offered · ? undocumented. The arrow marks which tool documents more on that standard — it is not a quality judgement, only a coverage one.
Kodus: Repo-level analysis plus linked sibling repos; pulls business context from Jira, Linear, and Notion.
PR-Agent: Per-PR review only; no codebase index or cross-repo context (per our open-source guide).
Kodus: Plain-language Kody Rules with global-repo-directory scope; auto-imports .cursorrules, CLAUDE.md, AGENTS.md, etc.
PR-Agent: Configurable via TOML with your own conventions; no rule management UI or plain-language rules.
Kodus: Reviews run via CLI locally, in CI, and on PRs; distinct local-vs-PR behavior modes not detailed publicly.
PR-Agent: Runs as CLI locally, in CI, or as PR commands; no distinct local-vs-PR behavior modes documented.
Kodus: Pulls context from Jira, Linear, and Notion to check a PR against what the ticket asked for.
PR-Agent: Ticket-compliance features not covered in the sources we verified.
Kodus: Kody generates rules automatically by analyzing team review history; rules and review history persist.
PR-Agent: No learning from review history (per our open-source guide).
Kodus: No documented sandbox execution or runtime validation of findings.
PR-Agent: Static per-PR analysis; no sandbox execution or test-run validation.
Kodus: BYOK on every plan, zero token markup, published cost estimates, token-usage dashboard.
PR-Agent: MIT-licensed BYOK via LiteLLM; pay providers at list price with full model choice, incl. local Ollama.
Kodus: Provides fix suggestions in reviews; one-click commit flow not verified in the posts we checked.
PR-Agent: /improve generates code suggestions on the PR; apply flow varies by platform.
Kodus: Token-cost and usage dashboard documented; DORA-style ROI reporting not verified in public posts.
PR-Agent: No dashboards or metrics (per our open-source guide).
Kodus vs PR-Agent: FAQ
What is the main difference between Kodus and PR-Agent?
Kodus covers more of the baseline (6.5/9 vs 2.5/9), but the split matters more than the total. Kodus is fully self-hostable on a standard plan and open source under AGPL-3.0 (dual-licensed; enterprise-marked files commercial); PR-Agent is fully self-hostable on a standard plan and open source under MIT.
Is Kodus cheaper than PR-Agent?
Kodus starts at $10/dev/mo and PR-Agent at Free (MIT), as published by each vendor on 2026-08-11 and 2026-08-11. Compare total cost rather than seat price: Kodus bills models as byok on every plan: openai, anthropic, gemini, vertex, novita, or any openai-compatible endpoint (vllm/ollama); zero token markup, PR-Agent as full byok via litellm: openai, claude, gemini, mistral, deepseek, azure openai, bedrock, vertex, openrouter, local ollama.
Do Kodus and PR-Agent support the same platforms?
Both document support for GitHub, GitLab, Bitbucket and Azure DevOps. Kodus additionally documents Forgejo; PR-Agent adds Gitea.
Which one scores higher against the 9-pillar standard?
Kodus scores 6.5/9 against 2.5/9. The score is coverage of documented capability, not quality of findings — the full formula is on the methodology page.
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