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sigmap
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sigmap

Active·★ 644·MIT·Updated 2026-10-06
★ Trending★ Hidden Gem

SigMap builds a deterministic, auditable signature-and-evidence map of your codebase without LLM calls or embeddings. It allows AI agents, CI, and reviewers to trust and verify code references, significantly reducing token usage and improving task success rates.

#AI Code Grounding#Code Analysis#LLM Context Management#Deterministic#Code Verification#Developer Tooling#Multi-Language Support#Agent Integration
$ Install
$ npm install -g sigmap
↗ Visit site★ GitHub
01

Features

01Deterministic, Auditable, and Verifiable Code Mapping: Generates byte-stable code maps without LLM inference, ensuring consistent and trustworthy output for AI.
02Zero Dependencies and Offline Functionality: Runs locally with no external dependencies, vector databases, or hosted services, ensuring full privacy and offline use.
03AI Answer Grounding and Fabrication Detection (`sigmap verify`): Flags fabricated files, imports, and symbols in AI answers by tracing them to real line anchors in the codebase.
04Broad Language Support: Supports 35+ programming languages, including TypeScript, Python, Go, Rust, Java, and R.
05Model-Agnostic and Agent/IDE Integrations: Works with cloud LLMs (GPT-4, Claude), local LLMs (Ollama), open-source agents (Aider), and popular IDEs (VS Code, JetBrains, Neovim).
02

Compatibility

Node.js
Runtime
Verified via docs
macOS
OS
Verified via docs
Linux
OS
Verified via docs
Windows
OS
Verified via docs
TypeScript
Language
Verified via docs
Python
Language
Verified via docs
03

Quick start

1
$ npm install -g sigmap
04

Use cases

↳Grounding AI agents with trustworthy, auditable code context to prevent hallucination and ensure factual accuracy.
↳Verifying AI-generated code, plans, and answers within CI/CD pipelines to maintain code quality and prevent errors.
↳Assisting code reviewers by flagging fabricated code references or inconsistencies in AI-assisted pull requests.
↳Providing rich, deterministic context for local LLMs and open-source agents, enhancing their performance without API costs or privacy concerns.
↳Scaffolding new code and directories based on established project conventions, ensuring consistency and adherence to architectural guidelines.
05

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On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 644
Last commit1d ago
StatusActive
LicenseMIT
CategoryDev Tooling
Trend (30d)
+25.7↑ 3.0%
Links
Documentation↗Discussion↗Issues↗Releases↗

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