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Molebie AI
Completely Private AI
Molebie AI is a fully self-hosted AI assistant you run on your own hardware. It supports voice conversations with wake-word activation, image understanding, RAG document memory (PDF, DOCX, TXT), and web search, all with zero cloud dependency. Works with any backend: MLX, Ollama, vLLM, llama.cpp, or OpenAI API. Currently runs as an all-in-one localhost setup multi-machine split coming soon. Still actively building and testing. You're welcome to try it out and share feedback! Private. Fast. Yours.
Hey Product Hunt! 👋
I'm Jimmy, the maker of Molebie AI. This is my first open-source project, and I'm really excited to share it with you all.
I built this because I was tired of sending my conversations, documents, and voice recordings to cloud AI services I don't control. I wanted a full-featured AI assistant — voice, vision, document memory, web search — that runs entirely on my own machine.
Molebie AI is open-source (MIT) and designed so you can install it with a single command and start chatting in minutes. It auto-detects your hardware, picks the right model, and just works.
Some highlights:
Three inference modes (instant, thinking, deep thinking)
Voice with wake-word, speaker verification, and TTS
RAG document memory with hybrid vector + BM25 search
Self-hosted web search via SearXNG
Works with MLX, Ollama, vLLM, llama.cpp, or OpenAI API
I'd genuinely love your feedback — what features would make this more useful for you? What's missing? What would make you switch from a cloud AI assistant to a self-hosted one?
🎥 Demo: https://youtu.be/HVdlEx26HGc
🐦 Follow for updates: https://x.com/Jimmy6929
💻 GitHub: https://github.com/Jimmy6929/Mol...
About Molebie AI on Product Hunt
“Completely Private AI ”
Molebie AI was submitted on Product Hunt and earned 6 upvotes and 5 comments, placing #47 on the daily leaderboard. Molebie AI is a fully self-hosted AI assistant you run on your own hardware. It supports voice conversations with wake-word activation, image understanding, RAG document memory (PDF, DOCX, TXT), and web search, all with zero cloud dependency. Works with any backend: MLX, Ollama, vLLM, llama.cpp, or OpenAI API. Currently runs as an all-in-one localhost setup multi-machine split coming soon. Still actively building and testing. You're welcome to try it out and share feedback! Private. Fast. Yours.
On the analytics side, Molebie AI competes within Open Source, Privacy, Artificial Intelligence and GitHub — topics that collectively have 586.9k followers on Product Hunt. The dashboard above tracks how Molebie AI performed against the three products that launched closest to it on the same day.
Who hunted Molebie AI?
Molebie AI was hunted by Jimmy Chu. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Molebie AI including community comment highlights and product details, visit the product overview.
Jimmy Chu