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Dev tools · June 8, 2026

CortexDB

Single-file AI memory and knowledge graph for agents

What it does

Pure-Go AI memory and knowledge graph library backed by SQLite. It combines vector search, RAG storage, agent memory workflows, RDF/SPARQL, and MCP-style tool APIs in one local-first database file.

Does the same job

all alternatives →
  • cognee2025 · ▲382

    Memory for AI Agents in 5 lines of code

  • HO
    HelixDB – Open-source vector-graph database for AI applications (Rust)2025 · github.com · ▲237

    Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…

  • LatticeDB – Like SQLite but for graph databases12d ago · github.com · ▲190

    We have been using graph DBs more and more at work. I found them painful to work with locally and decided to try and build something better.

  • Query MemoryMar 2026 · ▲100

    One API for all documents your AI agents need

  • AskAIBaseFeb 2026 · ▲84

    Memory infrastructure for AI coding agents

  • MCP Memory – Fast Agent Memory Using Google's OKF and SQLite FTS524d ago · github.com · ▲70

    An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents. - fellowgeek/mcp-memory

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