Mira
Code & Development

Mira

Self-hosted, open-source AI code reviewer that indexes your full repo and learns your team's rules.

87/100Safe BetFreeFree

Mira is the most complete open-source, self-hosted AI code reviewer we've seen—no feature gating, no license key, and the learning loop is genuinely useful. It demands DevOps effort to deploy, but for teams who value data sovereignty and cost control, it's hard to beat.

Best for
  • Engineering teams wanting cost-effective AI code review with full data control
  • Privacy-conscious organizations that cannot send code to third-party APIs
  • Teams using GitHub who want to reduce manual review burden
  • Developers who want to customize review rules and learn from team patterns
Not ideal for
  • Teams wanting a fully managed SaaS with zero deployment effort
  • Organizations relying on GitLab, Bitbucket, or Gitea (GitHub-only currently)
  • Beginners unfamiliar with Docker, GitHub App setup, and basic DevOps
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IntermediateWebAPI availableVerified 14d ago
Pricing
Free
FreeFree tier
Learning curve
Intermediate
Runs on
Web
API available · 15 integrations
Integrates with
GitHubOpenRouterAnthropicOpenAIGoogleDeepSeek+9 more
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In short

Mira — Self-hosted, open-source AI code reviewer that indexes your full repo and learns your team's rules. Best for Engineering teams wanting cost-effective AI code review with full data control, Privacy-conscious organizations that cannot send code to third-party APIs, Teams using GitHub who want to reduce manual review burden. Free to use.

Compared withvs Voyage Aivs Spider Cloudvs Temporal Ai

What's new in Mira

Checked 14 days ago

Across the latest 3 updates: 3 feature updates.

FeatureChangelog·Jun 14Newest

Mira v0.4.0: Exclude patterns apply to indexing, file-size limit, malformed file handling improvements

Exclude patterns now apply to indexing, added index.max_file_size, fixed indexing crashes on malformed files.

FeatureChangelog·Jun 11

Mira v0.3.0: Outbound webhooks, user management, tab titles

Added outbound webhooks (Slack, Teams, generic), self-service password change, admin password reset, per-page titles.

FeatureChangelog·Jun 11

Mira v0.3.1: Review thinking mode, runtime-adjustable model registry

Added review reasoning effort setting (off/low/medium/high/max) and MIRA_MODELS_JSON_PATH for custom models.

Viability Score

87/100
Safe Bet

How likely is Mira to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.

momentum
100
funding runway
40
website health
90
wrapper dependency
100

Last calculated: July 2026

How we score →

Key Features

  • Self-hosted AI code review for GitHub pull requests
  • Full-repo indexing for context-aware diff review
  • Inline comments with severity and confidence scores
  • PR walkthrough summary with Mermaid sequence diagram
  • Parallel chunk review for large diffs
  • Deduplication of comments across chunks and files
  • GitHub suggestion blocks for one-click fixes
  • Vulnerability scanning via OSV.dev poll
  • Custom per-repo and global rules with CRUD
  • Org-wide package search with lockfile-aware dedupe
  • Dependency graph with cross-repo relationships
  • Blast-radius analysis for symbol changes
  • Learning loop from rejected comments and merged PRs
  • Outbound webhooks for Slack, Teams, and generic endpoints
  • Extended reasoning budget for reviews (off/low/medium/high/max)

About Mira

FreeIntermediateAPI availableWeb

Mira is a fully open-source AI code reviewer you deploy on your own infrastructure. It runs as a GitHub App, watches your pull requests, and posts concise inline comments and walkthroughs using the LLM of your choice: Anthropic, OpenAI, Google, DeepSeek, MiniMax, or anything available through OpenRouter. Everything—review engine, codebase indexing, vulnerability scanning, custom rules, org-wide package search, the dashboard, and the learning loop—is included with no paid tier or license key. Mira indexes your entire repository so the model reviews each diff with full project context, not just the changed lines. It generates inline comments with severity (blocker, warning, suggestion, nitpick) and confidence scores, a PR walkthrough summary with Mermaid sequence diagrams, and deduplicates across chunks and files. The learning loop synthesizes custom rules from rejected comments and reviewer behavior on merged PRs. Outbound webhooks (Slack, Teams, generic) notify your team. Recent releases add excluded indexing patterns, configurable file size limits, extended-reasoning budgets, runtime-adjustable model registries, MiniMax M2.7 support, and an LLM eval suite. Mira is Apache 2.0 licensed. Compared to SaaS alternatives like CodeRabbit or GitHub Copilot Code Review, Mira gives you full data control and zero per-seat fees—you pay only for the LLM tokens directly to your provider.

Behind the Verdict

Mira is refreshingly honest: a truly free, self-hosted code reviewer with no bait-and-switch. You deploy a Docker container, connect it to GitHub, and it works. The indexing gives context-aware reviews that catch issues diff-only tools miss. The learning loop is a standout—over time, it internalizes your team's preferences and generates custom rules automatically. We also like the low-noise defaults: confidence thresholds, deduplication, and per-PR comment caps keep the signal high. The recent addition of outbound webhooks (Slack, Teams) makes it easier to integrate into existing workflows. Where it bites: deployment is not trivial. You need to configure a GitHub App, manage secrets, and run a Docker container with a database. If you're not comfortable with DevOps, expect a learning curve. Also, it only supports GitHub today—GitLab, Bitbucket, and Gitea are "coming soon." The UI is functional but not polished; don't expect a slick dashboard. Compared to CodeRabbit, which is SaaS and starts at $12/month per user, Mira is free but requires your own infrastructure and LLM API keys. For a 10-person team, CodeRabbit would cost $120/month plus LLM costs; Mira costs only the LLM tokens (maybe $20-50/month with a cheap model). If you want zero setup and a polished UX, pay for SaaS. If you care about data privacy, customization, and cost at scale, deploy Mira.

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Use Cases

  • Review every pull request with contextual comments based on your entire codebase
  • Enforce team coding standards with custom rules that run automatically on new PRs
  • Quickly answer which repositories are affected by a newly disclosed CVE
  • Reduce code review cycle time by catching common issues before human reviewers
  • Continuously improve review quality as Mira learns from your team's feedback
  • Self-host the entire pipeline to keep source code and review data on-premises

Models Under the Hood

AnthropicOpenAIGoogleDeepSeekOpenRouter models

as of 2026-07-15

Limitations

  • Mira currently supports only GitHub and GitLab as git providers; Bitbucket and Gitea adapters are on the way.
  • You must bring your own LLM API key (via OpenRouter or future native adapters), so costs depend on your model usage.
  • The indexing size limit defaults to 1 MB per file (configurable), and very large repositories may require careful tuning of exclude patterns and file size limits.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Integrations

GitHubOpenRouterAnthropicOpenAIGoogleDeepSeekMiniMaxSlackMicrosoft TeamsDockerSQLitePostgreSQLRailwayFly.ioRender

Resources & Guides

Official links

Official WebsiteChangelog

Tools that pair well with Mira

Common stack mates teams adopt alongside Mira, with the specific reason each pairing earns its keep.

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MetaGPT

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Frequently Asked Questions

Categories

💻 Code & Development⚙️ Developer Infrastructure

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Topics

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