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PR-Agent

Community-maintained, MIT-licensed PR reviewer with /review, /describe, and /improve commands, self-hosted with your own model keys.

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[ 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, 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 · ? unknown. Methodology on the about page.

Multi-dimensional Context

Per-PR review only; no codebase index or cross-repo context (per our open-source guide).

~ Rule-Centric & Default Quiet

Configurable via TOML with your own conventions; no rule management UI or plain-language rules.

~ Dual-Workflow: Local vs. PR

Runs as CLI locally, in CI, or as PR commands; no distinct local-vs-PR behavior modes documented.

? Business Logic Validation

Ticket-compliance features not covered in the sources we verified.

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.

Economic Transparency

MIT-licensed BYOK via LiteLLM; pay providers at list price with full model choice, incl. local Ollama.

~ Actionability

/improve generates code suggestions on the PR; apply flow varies by platform.

Measurable ROI

No dashboards or metrics (per our open-source guide).

[ In Our Coverage ]

Evaluating PR-Agent?

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

Evaluation Guide [↗]