llmware
An open-source Python framework for building local RAG and agent applications with small, specialized models that run on laptops and private servers.
About llmware
Teams that want private, low-cost document Q&A and automation need parsing, embedding, retrieval and on-device model inference in one toolkit.
Who it’s for
- Python developers building private RAG apps
- Teams deploying AI on laptops, edge devices or self-hosted servers
When to consider it
Consider llmware when you want an Apache-2.0 Python toolkit that combines document ingestion, retrieval and a catalog of quantized small models for local use on Windows, Mac or Linux.
Tradeoffs & limitations
- A Python library (Python 3.10 to 3.14) rather than a hosted service that you run yourself; the maker's website now mainly promotes its separate Model HQ product.
SOTA overview · Documentation-based assessment · Sources & review method
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Sources & review method
Documentation-based assessment · Oct 31, 2026 · Prepared with AI assistance; not a hands-on benchmark.
Checked by SOTA · AI-assisted documentation review. Selection advice is our assessment; verify current requirements for your deployment.
Import history & original evidence
llmware on GitHub
An open-source Python framework for building local RAG and agent applications with small, specialized models that run on laptops and private servers.
Based on official pages and announcements checked on 2026-10-31. No hands-on test, performance benchmark or popularity ranking is claimed.