Helix AI Studio
I built a desktop app (PyQt6, Windows) that orchestrates multiple AI models in a 3-phase pipeline: Phase 1 – A cloud LLM (Claude/GPT/Gemini) decomposes the prompt into structured sub-tasks Phase 2 – Local Ollama models process each sub-task (free, private, runs on your GPU) Phase 3 – The cloud LLM integrates the results into a coherent final answer The motivation: cloud APIs are great at reasoning and structure but cost money. Local Ollama models are free but sometimes inconsistent. The pipeline lets you use each where it's strongest. Also includes: - FastAPI + React web UI…
Helix AI Studio launched on March 1, 2026 with 3 votes, #3,303 of 23,380 launches that month and more than 50% of that year's launches.
What it does
Open-source desktop app (MIT) that orchestrates Claude, GPT, Gemini and local Ollama in a 3-phase AI pipeline. Phase 1: Cloud AI plans the execution Phase 2: Local Ollama handles heavy processing (free!) Phase 3: Cloud AI synthesizes and quality-checks results ~60% of work runs locally at no API cost. Built with PyQt6 + FastAPI + React. Includes a Web UI accessible from phone/tablet on LAN, RAG document indexing, Discord notifications, and full Japanese/English i18n.
All-in-one AI chat studio — 7 providers (Ollama, Claude, OpenAI, vLLM, Claude Code, Codex, Gemini CLI), RAG knowledge base, MCP tool integration, Mem0 shared memory, and 3-step pipeline. 100% local-capable. MIT licensed. - tsunamayo7/helix-ai-studio
In the maker’s words, at launch
I built a desktop app (PyQt6, Windows) that orchestrates multiple AI models in a 3-phase pipeline: Phase 1 – A cloud LLM (Claude/GPT/Gemini) decomposes the prompt into structured sub-tasks Phase 2 – Local Ollama models process each sub-task (free, private, runs on your GPU) Phase 3 – The cloud LLM…
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