Mira Code
Mira is a self-hostable, fully open-source AI code reviewer that watches GitHub, GitLab, and Forgejo pull/merge requests and posts concise inline comments and walkthroughs using the LLM chosen by the operator. It is designed to keep code, indexes, review history, and vulnerability data on infrastructure controlled by the user.
At a Glance
- Software engineering teams
- Organizations with private or regulated source code
- Self-hosted and open-source adopters
- Teams using GitHub, GitLab, Forgejo, or Codeberg
- +1 more
AI Tools by Mira Code
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Mira
Self Hosted Open Source AI Code Reviewer
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Latest News
Mira 0.9.1 adds layered security review, OpenAI Responses API support, broader indexing, and agentic tools on indexed repositories.
Mira 0.8.0 adds per-commit review controls, duplicate-dependency warnings, configurable LLM retries/timeouts, and concurrent-review deduplication.
Mira 0.7.0 adds Forgejo/Codeberg support, cross-PR overlap detection, review dashboard analytics, and contributor analytics.
Mira 0.6.0 adds full-parity GitLab support and a dynamic platform layer.
Products & Services
Apache-2.0 software distributed as a self-hosted deployment, including the review engine, full-repository indexing, vulnerability scanning, custom and learned rules, org-wide package search, dashboard analytics, and integrations for GitHub, GitLab, and Forgejo/Codeberg.
Market Position
Mira positions itself against hosted AI code-review products such as CodeRabbit, Greptile, GitHub Copilot code review, Graphite, Qodo, Bito, and Sourcery by being Apache-2.0, self-hosted, model-agnostic, and free of per-seat pricing and LLM markup. Its website and repository claim a roughly 77-second median review time on the public Martian Code Review Bench and emphasize indexed whole-repository context, privacy, and a learning loop.
Leadership
Founders
Jay
Identified publicly as Jay, co-creator of Mira in the project's Hacker News launch discussion; the available source does not provide a full name or prior-company biography.
Founding Story
Mira was started to provide an open-source, self-hosted alternative to SaaS AI code reviewers: teams bring their own LLM key or local model, keep source code on their own infrastructure, and avoid per-seat pricing and vendor markup. The initial vision combined whole-repository context, low-noise actionable review comments, and a learning loop that adapts to team feedback.
Business Model
Revenue Model
Free, fully open-source Apache-2.0 software; users self-host it and pay their selected LLM provider directly. Mira states that it adds no LLM markup and has no SaaS middle tier.
Pricing Tiers
All features are included; there is no paid tier and no license key. Users bear their own infrastructure and LLM-provider costs.
Target Markets
- Software engineering teams
- Organizations with private or regulated source code
- Self-hosted and open-source adopters
- Teams using GitHub, GitLab, Forgejo, or Codeberg
- Enterprises requiring local models, custom endpoints, or data residency
- Automated pull-request and merge-request review
- Security and vulnerability review before code merges
- Cross-file and cross-repository blast-radius analysis
- Dependency and package inventory for incident response
- Teams that need private, self-hosted code review on their own infrastructure
- Organizations that want review conventions learned from accepted/rejected feedback