{"repo":"anaslimem/CortexaDB","free":true,"listed":false,"github":"https://github.com/anaslimem/CortexaDB","clone":"git clone https://github.com/anaslimem/CortexaDB.git","description":"It is a simple, fast, and hard-durable embedded database designed specifically for AI agent memory. It provides a single-file-like experience (no server required) but with native support for vectors, graphs, and temporal search.","language":"Rust","stars":53,"topics":["agentic-memory","ai-agents","graph-database","python","rust","vector-database"],"license":"Apache-2.0","category":"databases-storage","readme_excerpt":"CortexaDB SQLite for AI Agents 📖 Read the full documentation CortexaDB is a lightweight, high-performance embedded database built in Rust, specifically designed to serve as the long-term memory for AI agents. It provides a single-file, zero-dependency storage solution that combines the simplicity of SQLite with the semantic power of vector search, graph relationships, and temporal indexing. --- The Problem: Why CortexaDB? Current AI agent frameworks often struggle with \"memory\" once the context window fills up. Developers usually have to choose between complex, over-engineered vector databases (that require a running server) or simple JSON files (that are slow and lose searchability at scale). CortexaDB exists to provide a middle ground : a hard-durable, embedded memory engine that runs inside your agent's process. It ensures your agent never forgets, starting instantly with zero overhead, and maintaining millisecond query latencies even as it learns thousands of new facts. --- Quickstart --- Installation CortexaDB is available on PyPI for Python and can be added via Cargo for Rust. Python --- Core Capabilities - 100x Faster Ingestion : New batch insertion system allows processing 5,000+ chunks/second. - Hybrid Retrieval : Search by semantic similarity (Vector), structural relationship (Graph), and time-based recency in a single query. - Ultra-Fast Indexing : Uses HNSW (USearch) for sub-millisecond approximate nearest neighbor search. - Fluent API : Chainable QueryBuilder fo","default_branch":null,"files":null,"tree":[],"storefront":"/r/anaslimem","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/anaslimem/CortexaDB/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}