Mesrai
Multi-agent AI code review platform that reviews pull requests using a whole-codebase graph, with CLI, IDE rule sync, and DORA metrics.
At a Glance
Free for individual developers on personal and open-source repositories with their own AI key (BYOK); launch offer subject to 30 days' notice of change.
14-day trial with full feature access for teams, then move to Pro.
Engagement
Available On
Alternatives
Listed Nov 2026
About Mesrai
Mesrai is a multi-agent AI code review platform for product engineering teams. It reviews pull requests on GitHub, GitLab, Bitbucket, and Azure Repos with specialised agents for bugs, security, performance, architecture, and team rules, and posts inline comments ranked by severity. The vendor says reviews usually land in 2–3 minutes.
What It Is
Mesrai connects to a repository via OAuth or a personal access token and listens for pull request webhooks. It parses changed code into an AST graph of the whole repository (the mesrai-graph engine), runs specialist agents in parallel, and posts findings on the diff with severity, rationale, and a suggested fix. The same engine is available as a CLI and through IDE rule sync.
Whole-codebase context
Instead of reading only the diff, Mesrai indexes packages across monorepos and multiple repos to trace the blast radius of a change, such as cross-file impact, layer violations, and hidden coupling. Security checks cover OWASP and CWE categories, including SQL injection, XSS, hardcoded secrets, and vulnerable dependencies. Performance checks flag N+1 queries and missed indexes. Architecture-aware review is described as deepest on JavaScript/TypeScript, Python, Go, Java, and Rust.
Rules, CLI, and IDE sync
Teams can write review rules in plain English or YAML, with per-org, per-repo, and per-directory overrides. Rule files from Cursor, Copilot, Claude, Windsurf, and other assistants can be imported so the IDE, cloud reviewer, and CLI enforce one policy. The CLI runs the same review locally, as a pre-push hook, or as a CI step, and posts findings back to the pull request. Custom prompts, a severity filter, and auditable memories are also documented.
Metrics, keys, and data handling
Pulse is an analytics surface that tracks DORA metrics such as deployment frequency and lead time alongside PR cycle time and AI-finding adoption. Mesrai supports bring-your-own LLM keys (OpenAI, Anthropic, Vertex, Bedrock, or compatible endpoints). The vendor states it never trains models on customer code, that zero retention is still rolling out, and that enterprise options include self-hosting, SAML SSO, role-based access, and audit logs.
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Pricing
Individual (Launch Offer)
Free for individual developers on personal and open-source repositories with their own AI key (BYOK); launch offer subject to 30 days' notice of change.
- Personal and open-source repositories
- Bring your own AI key (BYOK)
- Self-serve docs and community support
Free Trial
14-day trial with full feature access for teams, then move to Pro.
- Full feature access for 14 days
- Bring your own AI key
- Unlimited devs, repos, rules, and plugins
- All Pro features unlocked
- Engineering Metrics (Pulse)
Pro
Per active developer per month on your own AI key (BYOK); unlimited PR reviews.
- Bring your own AI key — Anthropic, OpenAI, Gemini, or any provider
- Unlimited PR reviews on your own key
- Unlimited active developers
- Unlimited Mesrai Rules and Plugins
- 3 model classes — Fast / Balanced / Premium
- Priority review queue
- Engineering Metrics (Pulse)
- Business Logic Validation
- USD billing + tax-compliant invoice
- Email support — IST, 1 business day
Enterprise
Custom contract with self-hosted option in your VPC, SSO/SAML, RBAC and audit logs.
- Everything in Pro
- Bring your own AI key + custom model endpoints
- Self-hosted option (your VPC)
- SSO / SAML
- RBAC + audit logs
- Data residency in your region, including India (self-hosted)
- 5 dedicated support hours / month
- Priority email support — IST, custom SLA
- Onboarding session
- TDS documentation
- Custom SLA
Capabilities
Key Features
- Multi-agent pull request review with inline severity-ranked comments
- Whole-codebase AST graph and blast-radius analysis across monorepos and multiple repos
- One-click suggested fixes
- OWASP/CWE security and performance checks
- Custom review rules in plain English or YAML
- IDE rule import from Cursor, Copilot, Claude, Windsurf and others
- CLI for pre-push hook or CI step
- Pulse DORA and engineering metrics dashboard
- Bring your own LLM key
- Memories learned across reviews
- Convert findings into trackable issues
- Notifications via email, Slack, Discord, and webhook
- MCP plugins (beta)
- Enterprise SAML SSO, role-based access, audit logs
