Mantic.sh is a context-aware, structural code search engine designed specifically for use with AI coding agents and developers who need deep, semantically relevant search across large codebases. Unlike traditional text-based search tools that mainly match keywords, Mantic.sh understands code structure and meaning by combining syntactic heuristics with neural semantic reranking to produce results that reflect conceptual relevance, which helps find functions, definitions, and patterns that literal search might miss. It uses local embeddings and code graph awareness so that queries like “authentication flow” return not just superficially matching text but contextually related code across multiple repositories. The tool supports navigational commands such as go-to-definition and find-references, simplifying large-scale refactoring, comprehension, and exploration tasks for teams.

Features

  • Structural, context-aware code search
  • Semantic reranking with neural understanding
  • Go-to-definition and find-references support
  • Learned search memory for team patterns
  • Works across large monorepos
  • Embedding-assisted relevance prioritization

Project Samples

Project Activity

See All Activity >

Categories

AI Agents

License

MIT License

Follow Mantic.sh

Mantic.sh Web Site

Other Useful Business Software
Atera all-in-one platform IT management software with AI agents Icon
Atera all-in-one platform IT management software with AI agents

Ideal for internal IT departments or managed service providers (MSPs)

Atera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
Learn More
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Mantic.sh!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

TypeScript

Related Categories

TypeScript AI Agents

Registered

21 hours ago