* [RubyLLM v2.1.0](https://github.com/crmne/ruby_llm) – A Ruby library providing a unified API for interacting with various AI models and services.

* [flutter\_edge\_ai v2.0.0](https://github.com/DenisovAV/flutter_edge_ai) – On-device AI for Flutter — Gemma and other LLMs, multimodal, function calling, embeddings, RAG and speech on Android, iOS, Web, macOS, Windows and Linux.

* [CortexDB v2.124.0](https://github.com/liliang-cn/cortexdb) – Pure-Go, single-file embedded AI memory and knowledge graph library that provides hybrid vector and lexical retrieval, RDF/SPARQL graph features, and MCP tools via SQLite.

* [GNO v2.10.0](https://github.com/gmickel/gno) – Local knowledge engine for notes, code, PDFs, and Office docs with hybrid search, citations, and verified, explainable answers via CLI, Web UI, REST API, SDK, and MCP.

* [ClawMem v0.43.0](https://github.com/yoloshii/ClawMem) – On-device context engine providing retrieval-augmented memory, hooks, and an MCP server for Claude Code, OpenClaw, and Hermes agents.

* [Lux v0.37.1](https://github.com/lux-db/lux) – Redis-compatible sharded key-value store with multi-threaded architecture, built-in vector search, time series, GEO, and real-time subscriptions.

* [QVAC sdk-v0.21.0](https://github.com/tetherto/qvac) – Local-first, cross-platform SDK for building peer-to-peer AI apps with local model inference, speech, translation, and RAG.