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grepai

yoanbernabeu/grepai

Semantic Search & Call Graphs for AI Agents (100% Local)

GitHub Website

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

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1.9k stars156 forksLast push Sep 14, 2026 C MIT

Decision brief

grepai is designed for developing local semantic search and call graphs for AI agents with an emphasis on privacy.

Good fit when

When you need to develop a system that prioritizes local processing without cloud dependencies, which is essential in highly regulated environments where data privacy and security are paramount.
If your project benefits from having detailed code-level insights through call graphs that help in understanding and maintaining complex AI agent systems.

Avoid when

Not suitable if your application requires real-time updates from cloud-based services, as grepai operates entirely locally without any online components for updating its functionality.
If the development team prefers not to deal with C language implementation details,grepai might be less attractive given that other tools may support more modern or higher-level languages like Python.

Pricing:: freemium - Available at no cost due to its MIT licensing, with the scope of use limited only by any dependencies it requires.

Observed Jul 14, 2026 · Source: enrich:decision_facts

grepai alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Very active (6d since push); As of Sep 20, 2026
Provenance: Not a fork · Personal account; As of Sep 20, 2026
Security (OSV): 62 low (62 low); As of Aug 30, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/yoanbernabeu/grepai

How it fits your stack(1)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

zoom-search

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A tool for developing local semantic search and call graphs targeted at AI agents with focus on privacy first

Capability facts

Languages: c
Source: github.language · Sep 20, 2026

README

Installation Homebrew (macOS): Linux/macOS: Windows (PowerShell): Requires an embedding provider — Ollama (default), LM Studio, or OpenAI. Ollama (recommended): Quick Start License MIT License Yoan Bernabeu 2026

For agents

This page has a .md twin and JSON over the API.

/tools/yoanbernabeu-grepai.md GET /api/graphcanon/tools/yoanbernabeu-grepai GET /api/graphcanon/graph?tool=yoanbernabeu-grepai