PR-Agent
AI PR Review · #14 of 20 in category · #20 of 27 overall
Community-maintained, MIT-licensed PR reviewer with /review, /describe, and /improve commands, self-hosted with your own model keys.
[ Where it fits ]
On the documented evidence, PR-Agent 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 ]
- Economic Transparency. MIT-licensed BYOK via LiteLLM; pay providers at list price with full model choice, incl. local Ollama.
[ Documented gaps ]
- Multi-dimensional Context. Per-PR review only; no codebase index or cross-repo context (per our open-source guide).
- Continuous Learning. No learning from review history (per our open-source guide).
- Sandbox Validation. Static per-PR analysis; no sandbox execution or test-run validation.
- Measurable ROI. No dashboards or metrics (per our open-source guide).
[ Facts ]
- Category
- AI PR Review
- Open source
- Yes — MIT
- Pricing
- 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 source ↗
- Self-hosted
- Yes — full stack — Runs as a CLI, Docker container, GitHub Action, or persistent webhook server on your own infrastructure.
- Platforms
- GitHub GitLab Bitbucket AD Azure DevOps Gitea
- Model control
- Full BYOK via LiteLLM: OpenAI, Claude, Gemini, Mistral, DeepSeek, Azure OpenAI, Bedrock, Vertex, OpenRouter, local Ollama
- 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.
Per-PR review only; no codebase index or cross-repo context (per our open-source guide).
Configurable via TOML with your own conventions; no rule management UI or plain-language rules.
Runs as CLI locally, in CI, or as PR commands; no distinct local-vs-PR behavior modes documented.
MIT-licensed BYOK via LiteLLM; pay providers at list price with full model choice, incl. local Ollama.
[ PR-Agent vs the alternatives ]
[ Closest alternatives ]
[ In our coverage ]
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 2026CodeRabbit 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.
Cursor BugBot vs CodeRabbit: 2026 ComparisonCursor BugBot vs CodeRabbit: review philosophy, pricing, platform support, and self-hosting compared — plus when neither fits. Verified August 2026.
[ FAQ ]
Is PR-Agent open source?
Yes. PR-Agent publishes its source under MIT, so you can read it, audit it and fork it.
Can PR-Agent be self-hosted?
Yes — full stack. Runs as a CLI, Docker container, GitHub Action, or persistent webhook server on your own infrastructure. Verified against the vendor's own documentation on 2026-08-11.
How much does PR-Agent cost?
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. Seat price is only part of the bill: PR-Agent handles models as full byok via litellm: openai, claude, gemini, mistral, deepseek, azure openai, bedrock, vertex, openrouter, local ollama, which is what usually decides the real monthly cost.
How does PR-Agent score against the 9-pillar AI code review standard?
2.5 out of 9. It fully documents 1 standard, partially documents 3, does not offer 4, and leaves 1 undocumented. The score is coverage of documented capability, not a measure of review quality.
What are the alternatives to PR-Agent?
The closest tools in this directory are Bito, Cursor BugBot, Gemini Code Assist, GitHub Copilot code review. Each is scored against the same 9 standards, so the matrices are directly comparable.
Evaluating PR-Agent?
Run it through the two-week trial protocol before you commit a team to it.