* [Rulesync v7.21.0](https://github.com/dyoshikawa/rulesync) – Node.js CLI that generates configuration files for AI development tools from unified rule files, with selective generation and import/export support.

* [Read Frog v1.31.0](https://github.com/mengxi-ream/read-frog) – AI-powered browser extension for immersive language learning with translation and article analysis.

* [SQLBot v1.7.0](https://github.com/dataease/SQLBot) – RAG-based conversational data analysis and Text-to-SQL generation using large language models.

* [Dify 1.13.2](https://github.com/langgenius/dify) – Platform for developing large language model applications with AI workflows, model management, and observability.

* [Oksskolten v0.3.0](https://github.com/babarot/oksskolten) – AI-native RSS reader that fetches full articles, converts to clean Markdown, and enables full-text search, summarization, and offline reading.

* [WeKnora v0.3.4](https://github.com/Tencent/WeKnora) – LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using the RAG paradigm.

* [Ollama v0.18.2](https://github.com/ollama/ollama) – Tool for running and managing large language models.

* [MCP Mesh v2.179.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Wiseflow v5.1.7](https://github.com/TeamWiseFlow/wiseflow) – Browser automation and web interaction add-on enhancing agents' browser usage and web-search capabilities.

* [Cherry Studio v1.8.1](https://github.com/CherryHQ/cherry-studio) – Desktop client supporting multiple LLM providers, available on Windows, Mac, and Linux.

* [Ax 19.0.23](https://github.com/ax-llm/ax) – End-to-end streaming framework for building multi-modal agents with typed signatures.

* [Super-Agent-Party v0.3.9](https://github.com/heshengtao/super-agent-party) – 3D AI desktop companion platform with modular LLM enhancements, multi-terminal deployment, and cross-platform compatibility.

* [NestJS MCP Server Module v1.9.8](https://github.com/rekog-labs/MCP-Nest) – NestJS module that exposes tools, resources, and prompts using the Model Context Protocol.

* [Sokuji v0.15.13](https://github.com/kizuna-ai-lab/sokuji) – Desktop application providing live speech translation and audio routing using multiple AI-powered APIs.

* [HelixML 2.9.6](https://github.com/helixml/helix) – Private GenAI stack for deploying AI agents with support for RAG, API calls, vision, and efficient GPU scheduling.

* [AionUi v1.8.30](https://github.com/iOfficeAI/AionUi) – Modern GUI for multi-model AI chat with integrated file management and Excel processing.

* [PromptHub v0.4.6](https://github.com/legeling/PromptHub) – Local-first AI prompt manager for organizing, versioning, and reusing prompts.

* [AgentField v0.1.60](https://github.com/Agent-Field/agentfield) – Control-plane infrastructure that deploys, scales, and secures autonomous AI agents as observable, identity-aware backend services.

* [AI SDK @ai-sdk/angular@2.0....](https://github.com/vercel/ai) – TypeScript toolkit for building AI-powered applications with popular frameworks.

* [Nerve v1.4.9](https://github.com/daggerhashimoto/openclaw-nerve) – Self-hosted web cockpit for OpenClaw agents with voice, live workspace editing, charts, scheduling, and token visibility.

* [Cactus React Native v1.10.4](https://github.com/cactus-compute/cactus-react-native) – React Native package for running AI language models locally with support for text, vision, and tool calling.

* [Dexto @dexto/orchestration...](https://github.com/truffle-ai/dexto) – Universal intelligence layer that orchestrates LLMs, tools, and data to build stateful, multimodal agentic applications.