Airuncode
Freemium
Developers preferring fully local agent execution
Mira
FreeOpen SourceSelf-Hosted
Most automated code reviewers either run in someone else's cloud — where your code travels — or demand a config file before they'll flag a single violation. Mira is an open-source PR reviewer you run on your own infrastructure, with no upfront configuration required.
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Get This Tool
License: Apache-2.0 Any use incl. commercial
Local-run terms: Self-host via Docker with own LLM keys or local models; full Apache 2.0 rights including commercial use and modification.
Pricing
- Model
- Free
Summary
The vendor states Mira hooks into GitHub via a self-hosted GitHub App, fires on every pull request open event, and posts inline comments within a median of 77 seconds — mapping call graphs and dependency blast radius before reading the diff. It flags bugs, auth bypasses, missing awaits, and style drift by reading the repo's own patterns rather than a ruleset you maintain. The self-host path is a single Docker command; the model is swappable via environment variable, so teams running Ollama or a private Anthropic endpoint are equally supported. Where it breaks: teams needing IDE feedback before a PR exists, or wanting issues surfaced in CI pipelines outside GitHub, hit a gap the tool does not currently fill.
Bottom line: Pick Mira when your team needs a private, zero-config reviewer on GitHub PRs — plan a different approach when you need pre-commit or CI feedback that runs before the pull request opens.
Find your fit
Before you choose Mira
More options in Coding Assistants. Compare pricing, platforms, and features side by side.
Atlarix
Freemium
Engineering teams needing private/local AI coding assistance
Pros
- Self-hosted by default with a single Docker command, so your source code never transits a third-party SaaS — which matters the moment a security or compliance audit asks where your code traveled.
- Model is swappable via a single environment variable, so switching from Anthropic to a local LLM when API costs or data-residency requirements change does not require re-architecting the deployment.
- Convention enforcement derives from the repo itself rather than a config file you maintain, which means teams avoid the ongoing cost of keeping a ruleset synchronized with how the codebase actually evolves.
- Blast radius reporting — listing dependent repositories and reference counts alongside each flagged issue — lets engineers triage by actual impact rather than debating whether a comment is worth addressing.
- Apache 2.0 license, so teams that need to audit, fork, or extend the reviewer are not blocked by proprietary terms — unlike SaaS alternatives where the review logic is a black box.
Cons
- The only documented integration trigger is a GitHub pull request open event. Teams wanting feedback earlier — pre-commit, on push to a branch, or inside a CI pipeline gate — get nothing from Mira, and adding that coverage requires a separate toolchain running in parallel.
- No hosted option exists. Teams without the infrastructure capacity or operational appetite to run and maintain a containerized service, manage GitHub App credentials, and keep Postgres healthy will spend more time on the deployment than the review coverage saves them — at which point a hosted SaaS reviewer is the rational alternative.
- The benchmark cited on the product page is vendor-published against a single 50-PR dataset judged by a specific Claude model. Teams making a production bet need to validate false-positive rates against their own repos; community-independent benchmarks are not yet available, so quality claims cannot be verified externally before deployment.
About
- Platforms
- Docker, self-hosted
- API Available
- No
- Self-Hosted
- Yes
- Last Updated
- June 18, 2026
Best For
Who it's for
- Teams wanting private self-hosted code review
- Projects using multiple languages in monorepos
- Organizations preferring open-source tools over SaaS
- Users bringing their own local or self-hosted LLMs
What it does well
- Automated PR reviews on every open pull request
- Detecting bugs, security vulnerabilities, and style drift
- Generating PR summaries and changelog entries
- Enforcing team conventions without configuration files
Integrations
Frequently Asked Questions
- Is Mira free?
- Mira offers a free option. Hosting, model usage, or optional services may have separate costs; check the pricing details and official terms.
- Is Mira open source?
- Yes. Mira is open source.
- Can I self-host Mira?
- Yes. Mira supports self-hosting on your own infrastructure.
- What platforms does Mira support?
- Mira is available on: Docker, self-hosted.
PR review debt accumulates in one of two ways: either no one reviews fast enough and bad code merges, or the automated reviewer fires so many false positives that engineers stop reading the comments. Mira is an open-source GitHub App, Apache 2.0 licensed, that you self-host and point at your repositories. On every pull request open event, it maps changed files, traces dependencies, computes a blast radius across importing repos, then posts structured inline comments — each with a confidence score and a one-click fix suggestion — before a human reviewer has opened the diff. The model is specified via environment variable, so teams can route through OpenAI, Anthropic via OpenRouter, or a local LLM behind their firewall without changing anything else.
The differentiating claim the vendor makes is zero-config convention enforcement: Mira reads your codebase’s existing patterns — naming conventions, error handling idioms, test style — and enforces them without a ruleset you author or maintain. The benchmarks on the product page show Mira scoring highest on F1 among reviewers completing under three minutes per PR, measured on a 50-PR offline set from public repositories and judged by Claude Sonnet 4.6. That benchmark methodology is vendor-published; independent reproduction is not yet documented in the community.
Mira fits teams that own their infrastructure, work across multiple languages in a monorepo, and want review feedback that surfaces before a human must context-switch into the diff. It does not expose a public API, does not run as a hosted SaaS option, and the GitHub integration is the only documented trigger — teams wanting pre-commit hooks, CI pipeline checks outside GitHub, or GitLab support are outside the current scope. At that point the comparison shifts to tools like CodeRabbit or Greptile, which offer hosted multi-platform coverage at the cost of code leaving your infrastructure.
Deployment targets documented on the page include Docker, Railway, Fly.io, and Render. Postgres and TLS configuration are covered in the Docker volume mount docs. The GitHub App wiring — App ID, private key, webhook secret — is passed as environment variables at container startup.
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