Local-first search engine and MCP server in one Rust binary, indexing code, docs, logs and PDFs for BM25, vector and hybrid search.
Builds a queryable knowledge graph from a codebase and its docs, PDFs, and configs, driven by a /graphify skill for AI coding assistants.
An agent meta-harness that adds multi-agent swarms, shared memory, and coordination around Claude Code and Codex via npx and MCP.
Team-level memory hub that turns agent conversations, docs, and code into shared, reusable memory assets across AI agents.
Agent memory system that lets AI agents learn from experience over time, not just recall conversation history.
Python library and SDK that builds a hierarchical tree index of documents so an LLM can reason through it for retrieval, without vector databases or chunking.
A collection of 42+ runnable Jupyter notebooks, each tutorial covering an advanced technique for Retrieval-Augmented Generation systems.