* [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.

* [GNO v2.12.0](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.

* [CortexDB v2.125.0](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 v2.11.0](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.

* [RubyLLM v2.1.1](https://github.com/crmne/ruby_llm) – A Ruby library providing a unified API for interacting with various AI models and services.

* [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.

* [CortexDB v2.123.0](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.

* [CortexDB v2.122.0](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.

* [CortexDB v2.121.0](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 v2.10.1](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.

* [flutter\_edge\_ai native-v0.18.0](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.

* [GNO v2.9.2](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.

* [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.

* [CortexDB v2.122.1](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.

* [CortexDB v2.121.2](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 v2.9.1](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.

* [flutter\_edge\_ai native-v0.18.0-e](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.

* [ClawMem v0.43.3](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.

* [ClawMem v0.43.2](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.

* [flutter\_edge\_ai native-v0.18.0-d](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.

* [flutter\_edge\_ai native-v0.18.0-c](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.

* [flutter\_edge\_ai native-v0.18.0-b](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.

* [flutter\_edge\_ai native-v0.18.0-a](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.