OpenLLM Studio
One workspace. Every local AI tool. Zero Cloud.
OpenLLM Studio launched on June 29, 2026 with 5 votes, #2,466 of 22,647 launches that month and more than 75% of that year's launches.
What it does
OpenLLM Studio is a free, open-source desktop app for local AI. It provides model management, chat, coding agent, and a full IDE in one place. Auto-detects your GPU, recommends models from a 10,000+ library, and downloads the right binary for your hardware automatically. No Python setup. No cloud. No data leaving your machine. The coding agent reads, writes, and runs code across your entire project with terminal, LSP, and 20+ MCP integrations built in. 🔗 openllm-studio.vercel.app
Free open-source desktop app for local LLMs: GPU auto-detect, one-click GGUF downloads, offline chat, and a coding agent that edits code on your machine. No cloud, no API keys, no telemetry. Windows, macOS, Linux.
OpenLLM Studio scans your GPU, picks the right model and quantization, then runs chat and a full coding agent offline — private by default. No cloud, no API keys, no telemetry. OpenLLM scans your GPU, RAM, and CPU, then recommends the exact model and quantization that fits your machine. Download GGUF models from Hugging Face in one click — resumable and cached locally. A full chat interface with system prompts, conversation history, and streaming responses. No network required once the model is downloaded — unplug the cable and it keeps working. Reads, writes, edits, and tests code across an entire project. Runs terminal commands and fixes its own errors — like Cursor or Claude Code, but…from openllm-studio.vercel.app
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AnythingLLM – Open-Source, All-in-One Desktop AI Assistant2024 · github.com · ▲368Hey HN! This is Tim from AnythingLLM (https://github.com/Mintplex-Labs/anything-llm). AnythingLLM is an open-source desktop assistant that brings together RAG (Retrieval-Augmented Generation), agents, embeddings, vector databases, and more—all in one seamless package. We built AnythingLLM over the last year iterating and iterating from user feedback. Our primary mission is to enable people with a layperson understanding of AI to be able to use AI with little to no setup for either themselves, their jobs, or just to try out using AI as an assistant but with *privacy by…





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