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.
Open-source LLM knowledge platform that turns documents into a searchable RAG system, a multi-step reasoning agent, and a maintained wiki.
In-memory data structure store used as a cache, database, message broker, and vector/document query engine.
Object-storage native graph database with git-style branching, a typed ontology, and hybrid graph, vector, and full-text retrieval over Lance files.
Open-source vector design tool with an AI prompt-to-canvas workflow, concurrent agent teams, an MCP server, and JSON-based .op design files.
Typesense is an open-source, in-memory search engine with typo tolerance, faceting, geosearch, and vector search.