The open-source personal assistant that lives on your server for total privacy and infinite customization.
Leon is a modular, self-hosted personal assistant designed to provide a privacy-centric alternative to cloud-based solutions like Alexa or Siri. Built on a robust architecture of Node.js and a Python bridge, Leon operates directly on the user's hardware, ensuring that personal data never leaves their local network. By 2026, Leon has solidified its position in the market as the primary orchestrator for 'Local-First' AI, integrating seamlessly with local LLM runtimes like Ollama and LocalAI. Its technical edge lies in its modular 'Skills' system, which allows developers to write custom functionalities in either Python or JavaScript. Leon utilizes a hybrid Natural Language Processing (NLP) approach, supporting both cloud-based providers for high-fidelity tasks and fully offline engines (like spaCy or Natural) for high-security environments. This duality makes it ideal for power users and developers who require a deep level of control over their personal automation workflows, smart home integrations, and daily digital interactions without the recurring costs or data-mining risks associated with commercial platforms.
A decoupled architecture where logic is separated into 'Skills'. Each skill can be written in Python or Node.js, allowing for diverse library integration.
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Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A high-performance bridge that enables real-time communication between the Node.js core and Python-based logic modules.
Support for multiple NLU (Natural Language Understanding) engines including local instances of spaCy, Rasa, or remote APIs like OpenAI.
Integration with Coqui TTS and other offline text-to-speech engines to generate vocal responses without internet connectivity.
Internal WebSocket-based communication system for pushing events to the client-side UI or connected IoT devices.
Tools to manually add and label training sentences directly in the codebase to improve intent recognition for niche use cases.
Full support for 2026-era local model orchestration via Ollama API, allowing for generative responses.
Controlling IoT devices without sending voice recordings to Amazon or Google servers.
Registry Updated:2/7/2026
Lights turn off without cloud transit
Aggregating data from calendars, weather, and news into a concise daily audio report.
Triggering CI/CD pipelines or server checks via voice/chat during development.