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Bubo πŸ¦‰

PyPI Python 3.14+ Docker: GHCR CI OpenSSF Scorecard Signed with cosign SLSA 3 Ruff Managed with uv Docs License: MIT

Agentic AI code review with the LLM of your choice. Bubo reviews your GitLab MRs and GitHub PRs with the model you run, and posts only the findings worth acting on as inline threads β€” no chatbot noise, no praise, no summaries.

  • πŸ”’ Self-hosted β€” code, diffs, and review data stay on your infrastructure
  • 🧠 Bring-your-own-LLM β€” Codex, Claude, or any model your CLI drives
  • πŸ”€ GitLab & GitHub β€” one config, identical behavior on both
  • 🎯 Inline findings only β€” with one "all good" ack on a clean change
  • πŸ›‘οΈ Governance, provenance & an auditable on-prem report
  • πŸ“Š OpenTelemetry metrics β€” cosign-signed releases with SBOMs

πŸ“– Full documentation β†’ mountainowl.github.io/bubo

Install

uv tool install bubo     # or: pipx install bubo
bubo init                # idempotent; seeds config + workspace + DB
bubo doctor              # verify before the first poll
bubo-poller              # one poll cycle β€” dry-run by default, posts nothing

Prefer a container? docker pull ghcr.io/mountainowl/bubo (multi-arch; the review-agent CLI is BYO). Full walkthrough in Install and configure.

Documentation

Everything lives on the docs site β€” this README is just the front door.

Recipes Copy-paste GitLab / GitHub / in-house-model setups.
Features The full capability list.
Configuration Every setting, per section, plus a quick-start config.
Operate Deploy, schedule, grade outcomes, governance report.
Troubleshooting Host / infra fixes (sandbox, AppArmor).
Metrics & telemetry Emitted llm_review.* metrics and dashboards.

Status

  • GitLab & GitHub posting via polling β€” production path, at outcome-metric parity. Set [scm].provider = "github" (or BUBO_PROVIDER=github).
  • MCP server (bubo-mcp) β€” read-only metrics + triggered reviews; stdio or HTTP.
  • Codex or Claude β€” Bubo runs the review through a wrapper around your agent CLI; Codex ships pre-wired.
  • Webhook-driven triggering β€” not yet; polling is the only path.

Review execution sits outside CI/CD by design β€” run it as a poller beside your existing pipelines.

Security

  • config/env.toml is gitignored and holds tokens. Do not print or commit real values.
  • Review-agent stdout is redacted (GITLAB_TOKEN=, OPENAI_API_KEY=, glpat-…, sk-…, credentialed Git URLs) before it touches reports, logs, or the database.
  • The reviewer subprocess runs under a strict env allowlist β€” host secrets aren't handed wholesale to the LLM agent.
  • Releases are cosign-signed via Sigstore keyless OIDC, with an SBOM on every release.
  • Report vulnerabilities per SECURITY.md.

Community

Contributing Β· Security policy Β· Support Β· Code of conduct Β· License: MIT