A code repository indexing tool to supercharge your LLM experience.

Local-first search across your workspace, built for humans and AI agents.
Official Findings of EMNLP 2026 implementation of Corpus2Skill: compile a document corpus into a navigable skill hierarchy that LLM agents explore at query time, with document lookup instead of a serving-time vector-search service.
A semantic search engine for files and code.
Semantic Search & Call Graphs for AI Agents (100% Local)
Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.
🧠 The Brain for Your AI — Local-first memory engine for AI agents. Store, recall, and search memories with semantic embeddings. Single Rust binary, zero config, fully offline.
Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.