Tag: #local-llm
15 packages • ⭐ 60,005 total stars
The all-in-one AI productivity accelerator. On device and privacy first with no annoying setup or configuration.
A text-based user interface (TUI) client for interacting with MCP servers using Ollama. Features include agent mode, multi-server, model switching, streaming responses, tool management, human-in-the-l
Local coding agent with neat UI
Portable multi-agent AI developer setup for Claude Code + Ollama. Role-based local LLM orchestration via Bash — plan, code, review, commit. Zero Dependency. Works with any language stack.
Synthadoc: An open-source LLM knowledge compilation engine that turns raw documents into structured, local-first wikis. A transparent, human-readable alternative to traditional RAG, which can be self-
ToolAgents is a lightweight and flexible framework for creating function-calling agents with various language models and APIs.
A coding agent optimized to smaller LLMs
All-in-one local AI hub for Obsidian — LLM chat with vault tools, MCP servers, RAG, workflow automation, encryption, and edit history. Fully private, no cloud required.
Local-first Agentic Memory Layer for MCP Agents • 25 tools • Hybrid search (FTS5 + vector + MMR) • GDPR • 100% local
Local-first AI assistant — 9 specialized agents (code, web, debug, security…), 10M token vector memory, mobile relay via secure tunnel, real-time web search and document processing. Runs 100% on your
A lightweight agentic workflow system for testing AI agent flows with local LLMs and tool integrations
The ultimate native macOS AI Agent. Blends local MLX SLMs with 3D cognitive Metal rendering and autonomous system integrations.
🤖 Build intelligent, offline LLM agents with LangGraph and llama-cpp-python using this starter template for local, private tool-calling applications.
Syllabus-aware RAG study assistant for university students. Answers strictly from your own notes & PDFs, unit-scoped retrieval, cross-encoder reranking, and a hallucination gate — built to help studen