Mantic: A Structural Code Search Engine for AI Agents with Sub-500ms Performance
By
marcoaapfortes
Master baker tier. Every paragraph earns its place on the tray.
Summary
Mantic is a structural code search engine designed specifically for AI agents that provides sub-500ms file ranking across massive codebases without using embeddings, vector databases, or external dependencies. It serves as an infrastructure layer to reduce context retrieval overhead for AI agents by inferring intent from file structure and metadata rather than brute-force reading content, enabling retrieval speeds faster than human reaction time. The project includes cost analysis comparisons for development teams and is available on GitHub as an open-source tool.
Key quotes
· 4 pulledProvides sub-500ms file ranking across massive codebases without embeddings, vector databases, or external dependencies.
Mantic is an infrastructure layer designed to remove unnecessary context retrieval overhead for AI agents.
It infers intent from file structure and metadata rather than brute-force reading content, enabling retrieval speeds faster than human reaction time.
A structural code search engine for AI agents.
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