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osgrep

Ryandonofrio3/osgrep

Open Source Semantic Search for your AI Agent

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

48views this month

1.1k stars67 forksLast push Jan 17, 2026 TypeScript Apache-2.0

Decision brief

osgrep is an open-source tool focused on semantic search capabilities specifically designed for integration with AI agents using TypeScript.

Good fit when

  • - You need advanced semantic search functionality tailored to work seamlessly with your AI agent.
  • - Your project uses or plans to use TypeScript, allowing osgrep's TypeScript-based solution to integrate more smoothly.

Avoid when

  • - If your search requirements can be met with simple keyword matching rather than semantic analysis, as osgrep specializes in more complex semantic searches.
  • - Your AI project is not using TypeScript or where seamless integration with TypeScript-specific features of osgrep would offer no advantage.

Observed Jul 12, 2026 · Source: enrich:decision_facts

Verify the decision

Adoption

Package downloads where a registry match exists. GitHub stars (1,145) are secondary evidence.

npm downloads (30d)
434·npm downloads API·Sep 20, 2026

Maintenance and security

Full trust report
Maintenance
Slowing (245d since push)
As of Sep 20, 2026
Provenance
Not a fork · Personal account
As of Sep 20, 2026
Security (OSV)
No lockfile
As of Jul 11, 2026

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

Install

npm install osgrep
npm

How it fits your stack(2)

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

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

Evidence and technical details

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

Overview

Provides open-source capabilities for semantic search tailored for integrating with AI agents.

Capability facts

CLI
CLI entrypoint

Source: package.json:bin|scripts · Sep 20, 2026

MCP server
Ships MCP server

Source: package.json:@modelcontextprotocol/* · Sep 20, 2026

Languages
typescript, javascript

Source: github.language+package.json · Sep 20, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Node.js runtimeNode.js

Source: README excerpt (regex_v1, Sep 20, 2026)

npm install -g osgrep
Source link

Tags

README

Quick Start 1. Install 2. Setup (Recommended) Downloads embedding models ( 150MB) upfront. If you skip this, models download automatically on first use. 3. Search Your first search will automatically index the repository. Each repository is automatically isolated with its own ind...

For agents

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

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