Problems being solved:
Most AI assistants require internet, cloud services, or locked ecosystems. With Tool-Neuron you can run offline models (GGUF) locally—no data leaves your phone.
Users often can’t import custom models or use their own datasets. Tool-Neuron supports both offline model import and API access to 100+ models via OpenRouter.
Standard AI apps lack strong knowledge integration. With Tool-Neuron’s DataHub you can load dynamic datasets and tailor the AI’s knowledge to your work or interests.
Developers and power users are restricted by fixed model formats or one-provider systems. Tool-Neuron unifies model formats, warns of unsupported ones, and gives plugin and developer support.
What this means: If you want an AI assistant that respects your data, runs anywhere (even without internet), and can grow with you—from simple chats to loaded knowledge packs and custom AI workflows—Tool-Neuron is built for that.
If you’re curious to try it, follow the GitHub repo and join the community for early testing and feedback.
Thanks for checking it out—feedback is really welcome.