* [Ollama v0.30.0](https://github.com/ollama/ollama) – Tool for running and managing large language models. * [Crush v0.75.0](https://github.com/charmbracelet/crush) – Terminal-based AI coding assistant supporting multiple LLMs, sessions, and extensible capabilities. * [CodeBoarding v0.12.0](https://github.com/CodeBoarding/CodeBoarding) – LLM-enhanced static-analysis tool that generates interactive, high-level diagrams of codebases to aid onboarding and comprehension. * [Transformer Lab v0.38.0](https://github.com/transformerlab/transformerlab-app) – Cross-platform app for downloading, training, fine-tuning, chatting with, and evaluating large language and diffusion models. * [Stagehand stagehand-server-v3/...](https://github.com/browserbase/stagehand) – AI-enhanced browser automation framework combining code and natural language for reliable production use. * [HashCortX v2.0.0](https://github.com/Hash-7777/HashCortX) – Local-first macOS AI workspace combining multi-provider chat, autonomous coding agents, multi-agent swarms, specialist agents, and financial and security tools. * [DSPy-Go v0.84.0](https://github.com/XiaoConstantine/dspy-go) – Native Go framework providing systematic prompt engineering, composable modules, and automated reasoning for building LLM applications. * [Rapida v2.3.0](https://github.com/rapidaai/voice-ai) – End-to-end voice orchestration platform for building real-time conversational agents with streaming audio, STT/TTS, VAD, integrations, and observability. * [NestJS MCP Server Module v1.9.10](https://github.com/rekog-labs/MCP-Nest) – NestJS module that exposes tools, resources, and prompts using the Model Context Protocol. * [llm-docs-builder v0.13.0](https://github.com/mensfeld/llm-docs-builder) – Transforms markdown documentation to reduce token usage and optimize content for large language models and retrieval-augmented generation systems. * [Thunderbolt v0.1.96](https://github.com/thunderbird/thunderbolt) – Cross-platform AI client for on-prem and local models with enterprise features and self-hosting support. * [AgentMark @agentmark-ai/ui-com...](https://github.com/agentmark-ai/agentmark) – Markdown-based framework to develop, test, and evaluate AI agents with multimodal generation and CLI tooling.