memorg
Python External memory layer for LLM apps. Hierarchical SQLite + vector search, deterministic recall, MCP server.
Memorg is a pip-installable external memory layer for LLM apps: hierarchical SQLite storage, a USearch vector index, OpenAI embeddings and an MCP server. Retrieval blends semantic similarity, recency and importance within a token budget — no managed service.
Install
$ pip install memorg Frequently asked questions
What is memorg?
memorg is an entry in the Neul Labs project catalogue. External memory layer for LLM apps. Hierarchical SQLite + vector search, deterministic recall, MCP server. Memorg is a pip-installable external memory layer for LLM apps: hierarchical SQLite storage, a USearch vector index, OpenAI embeddings and an MCP server. Retrieval blends semantic similarity, recency and importance within a token budget — no managed service. Current source, licence, release and documentation status should be verified at the linked project surfaces.
How do I install memorg?
The catalogue records this install command: `pip install memorg`. Verify the linked repository, package, supported version and current instructions before use.
What language is memorg written in?
memorg is written in Python.
Is memorg open source?
Source is linked at https://github.com/neul-labs/memorg. Inspect the repository licence and release metadata for the exact version; Neul Labs does not apply one blanket licence claim to the whole catalogue.
How does memorg compare to alternatives?
See the detailed comparison at https://www.neullabs.com/compare/memorg-vs-mem0.