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
