N3MO parses your repository's ASTs and builds a local call graph to trace the transitive blast radius of any code change instantly.
Ditch simple text matchers. N3MO builds a relational knowledge graph of codebases to empower engineering teams.
Traces call links recursively to arbitrary depth, showing you direct and indirect downstream impacts of any refactor or deletion. Find hidden dependencies that standard search tools miss.
Powered by GitHub's Tree-sitter. We parse Python, TS/JS, Java, Go, Rust, C++, Ruby, PHP, and
more locally.
*Tree-sitter parsing supported for
27 languages. Deep semantic call graph mapping currently optimized for Python, JS/TS,
and Java.
Integrate N3MO directly into Cursor, Claude Desktop, or Windsurf. Allow AI agents to trace structures without hallucinations.
Enforce codebase size-aware checkpoints on every Pull Request, posting a comprehensive impact markdown report directly to PR comments in under 2 seconds.
auth_user affects 3 downstream components.A concise breakdown of our ideal user profiles.
Architects managing large, legacy monoliths who need a reliable way to map sprawling dependencies before initiating major refactors.
Senior developers acting as gatekeepers on PRs who want automated, mathematically-proven impact analysis instead of relying entirely on unit tests.
Autonomous coding bots like Claude and Cursor that require a precise, deterministic knowledge graph to avoid hallucinating file structures.
Step-by-step instructions on catching breaking changes.
Navigate to your repository settings and grant N3MO read access to your source code. You don't need to configure CI/CD pipelines or write custom workflows.
A junior developer opens a PR modifying a seemingly isolated utility function, `format_date()`. Unbeknownst to them, this function is indirectly used by the core billing service.
Within 2 seconds, N3MO intercepts the webhook, parses the entire AST, and posts a comment on the PR detailing the exact downstream services that depend on `format_date()`. You catch the breaking change before it hits production.
Give AI agents like Cursor and Claude deterministic structural context instead of random file chunks.
Automatically configure N3MO as an MCP tool for Claude to map blast radius before it writes code.
$ cd /path/to/project
$ n3mo mcp installAdd N3MO directly to Cursor settings to enable instant transitive impact queries during refactoring.
commandn3mo mcp startScale N3MO's PR impact check capabilities dynamically to fit the size of your team's codebases.
N3MO prices by repositories, not users, so your entire engineering team can collaborate without buying additional licenses. Each repository receives continuous indexing, dependency analysis, PR impact detection, and code intelligence. Start free with local MCP — upgrade only when you want automated PR checks across your team.
For solo devs and small projects
For small teams (2–5 devs)
Includes 15-Day Free Trial
For growing teams (6–20 devs)
For advanced engineering teams
For large orgs (20+ devs)
*Fair use applies. Repository limits are intended for typical engineering teams. Extremely large monorepos may count against your codebase quota. Contact us for larger deployments.
Works with
Supports
Any GitHub repository that you connect to N3MO and actively analyze using our webhook integrations.
Yes! Once a repository is indexed, anyone on your team can view PR impact reports and use the interactive graph without needing their own license.
A single repository containing multiple distinct projects or services. Monorepo support on the Team plan ensures we index all nested dependencies properly.
You'll get a heads-up before any repo stops syncing, with a one-click upgrade — no PRs are ever silently blocked without warning.
N3MO is fully functional locally right from your terminal.
Install the N3MO CLI package directly from PyPI.
pip install n3moSpin up N3MO's PostgreSQL docker container and verify local variables in one command.
n3mo setupIndex AST structures and build the relational call links inside Postgres.
n3mo indexTrace the impact chain and launch the orbital interactive visualizer in your local browser.
n3mo impact "symbol_name" --graphWe believe code should be analyzed where it lives. N3MO is designed from the ground up to respect security boundaries and data governance rules:
For SaaS users, N3MO analyzes code entirely in-memory on highly secure, ephemeral GitHub runners. We extract only the structural graph metadata, and the runner is instantly destroyed. We never store your raw source code.
Enterprise users run the N3MO CLI natively inside their own private, air-gapped CI/CD pipelines. In this mode, your code literally never leaves your Virtual Private Cloud (VPC).