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CodeMap AI

Codebase Intelligence,
Powered by Multi-Agent AI

Enter a GitHub repository URL or local path. CodeMap AI maps architecture, infers behavior, audits security, and generates interactive onboarding guides.

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10+Languages
4Agent Types
Full RepoAnalysis Depth
Local-FirstPrivacy
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How CodeMap AI Works

A four-agent pipeline that transforms any codebase into structured knowledge.

1

1. Submit a Repo

Paste a GitHub URL or local absolute path. CodeMap fetches or reads the codebase.

2

2. Static Analysis

The static analyzer maps file structure, imports, and dependency chains.

3

3. Deep Inference

Behavior and community agents infer runtime patterns, tech stack, and code quality.

4

4. Onboarding Report

The reporter synthesizes findings into an interactive HTML guide and JSON output.

See it in Action

Whether analyzing, mapping, or auditing — CodeMap AI handles it all.

Analyzing fastapi/fastapi
U

Everything you need to understand code

CodeMap AI gives you superpowers to digest entire repositories in seconds with multi-agent intelligence.

Deep Code Analysis

Our multi-agent system ingests your entire codebase to give you expert-level understanding of any repository structure — completely eliminating the clone-and-browse phase.

// Static analysis complete
const map = await CodeMap.analyze();
map.modules.forEach(m => {
  console.log(m.dependencies);
});

Architecture Mapping

Generate interactive dependency graphs and module maps automatically.

Output:
dependency-graph.svg

Git Archaeology

Trace code evolution through commit history and branch patterns.

Security Audit

Detect exposed secrets and code vulnerabilities silently.

Semantic Search

Ask natural language questions about any codebase. Find patterns, bugs, and missing pieces instantly.

Onboarding Reports

Generate interactive HTML onboarding guides for any repository, instantly shareable with your team.

Local-First. Privacy Guaranteed.

CodeMap AI runs entirely on your infrastructure. Your codebase never leaves your machine. Local paths are analyzed locally — no data is sent to external servers unless you explicitly choose a GitHub URL.

Multi-Agent Pipeline

Use Cases That Drive Decisions

CodeMap AI helps teams reduce uncertainty before adoption, onboarding, and audit decisions.

Repository Due Diligence

Evaluate unfamiliar repositories before adopting dependencies or onboarding teams. Get system-level snapshots for immediate clarity.

Start Analysis

Team Onboarding

Generate interactive onboarding guides for new developers joining a project. Reduce ramp-up time from weeks to hours.

Generate Guide

Security Prioritization

Surface actionable risk signals and triage findings with engineering context. Get severity-framed remediation direction.

Security Audit

Frequently Asked Questions

CodeMap AI supports any Git repository — local paths on your machine (e.g. /Users/you/projects/myrepo) or public GitHub URLs. Python, TypeScript, JavaScript, Go, and Rust codebases are especially well-supported.

CodeMap AI runs 4 specialized agents in parallel: a Static Analyzer that maps file structure and imports, a Behavior Inferer that understands runtime patterns, a Community Assessor that evaluates code quality signals, and a Reporter that synthesizes everything into an interactive onboarding guide.

Local paths are processed entirely on your machine using the local FastAPI server. Only public GitHub URLs require fetching the repository. Your code is never stored or used for training.

Most analyses complete in 30–120 seconds depending on repository size. The WebSocket progress panel shows real-time agent status so you can track progress live.

Ready to map your codebase?

Start with any GitHub repository URL or a local absolute path. Get your first analysis in under 2 minutes.