anaslimem/CortexaDB
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.
Built in Rust with HNSW indexing (via USearch) for sub-millisecond vector search, CortexaDB combines semantic, graph-based, and temporal retrieval in a single fluent query API—enabling hybrid search across multiple dimensions without server overhead. The architecture uses WAL-backed storage for hard durability while supporting batch ingestion at 5,000+ chunks/second, making it purpose-built for stateful AI agent workflows that require persistent memory beyond context windows. Python and Rust bindings integrate seamlessly with embedding providers like OpenAI for end-to-end semantic memory management.
27 stars and 1,122 monthly downloads. Available on PyPI.
Stars
27
Forks
2
Language
Rust
License
Apache-2.0
Category
Last pushed
Mar 12, 2026
Monthly downloads
1,122
Commits (30d)
0
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