Try it now

npx sigmap
sigmap ask "Where is auth handled?"

Zero config. Zero dependencies. Under 10 seconds.

What is SigMap?

SigMap extracts function and class signatures from your codebase and feeds the right files — not the whole repo — to your AI.

Works with Copilot, Claude, Cursor, Windsurf, and any LLM.

Why SigMap?

• 80.0% hit@5 — right file found in top 5 results (vs 13.6% baseline)
• 40–98% token reduction — 2K–4K tokens instead of 80K+
• 52.2% task success rate — up from 10% without context
• 1.68 prompts per task — down from 2.84
• Works with any LLM — no API key, no cloud, no accounts
• Zero npm dependencies — npx sigmap on any machine

Replace this with SigMap

How it works

Ask → Rank → Context → Validate → Judge → Learn

1. Ask — sigmap ask "Where is auth handled?" — ranked file list
2. Rank — TF-IDF scores every file against your query
3. Context — writes compact signatures to your AI's context file
4. Validate — sigmap validate — confirms right files are in scope
5. Judge — sigmap judge — scores answer groundedness against context
6. Learn — sigmap weights — boosts files that keep solving your tasks

Benchmark

Benchmark : sigmap-v6.6-main
Date      : 2026-04-30

Hit@5          : 80.0%   (baseline 13.6%  — 5.9× lift)
Prompt reduction : 41.0%
Task success   : 52.2%   (baseline 10%)
Prompts / task : 1.68    (baseline 2.84)
Token reduction: 40–98%  (avg 96.8% across 18 real repos)

Measured on 90 coding tasks across 18 real public repos. No LLM API — fully reproducible.

Full methodology →

Install

Try without installing:

npx sigmap

Install globally:

npm install -g sigmap

Install per-project:

npm install --save-dev sigmap

Standalone binary — no Node.js required:

Each binary ships with a .sha256 checksum. Verify a binary →

Volta:

volta install sigmap

Integrations

AI assistants — one run, all of them:

sigmap --adapter copilot   # default
sigmap --adapter claude
sigmap --adapter cursor

IDE extensions:

MCP server — 9 on-demand tools for Claude Code and Cursor:

sigmap --mcp

Try it

# 1. Generate context for your project
npx sigmap

# 2. Ask a question — get ranked files
sigmap ask "Where is auth handled?"

# 3. Validate — confirm the right files are in scope
sigmap validate --query "auth login token"

# 4. Judge — score your AI's answer for groundedness
sigmap judge --response response.txt --context .context/query-context.md

# 5. Inspect health
sigmap --health

Start guide

Docs

manojmallick.github.io/sigmap

Support

If SigMap saves you context or API spend, a ⭐ on GitHub helps others find it.

Report an issue · Changelog

Why not embeddings?

• No vector DB — signatures are plain text files committed to your repo
• No infra — runs locally, zero cloud dependencies
• No drift — regenerating is npx sigmap, not a reindex pipeline
• Deterministic — same input always produces same ranked output
• Faster — TF-IDF ranking runs in milliseconds, no embeddings to compute

29 languages

TypeScript · JavaScript · Python · Java · Kotlin · Go · Rust · C# · C/C++ · Ruby · PHP · Swift · Dart · Scala · Vue · Svelte · HTML · CSS/SCSS · YAML · Shell · SQL · GraphQL · Terraform · Protobuf · Dockerfile · TOML · XML · Properties · Markdown

All implemented with zero external dependencies.

Full language table →

License

MIT © 2026 Manoj Mallick · Made in Amsterdam