whereismyai
py-xiaozhi
py-xiaozhi is a Python-based cross-platform framework that integrates AI models with real-time voice, vision, and IoT hardware control.
py-xiaozhi provides a lightweight, asynchronous framework for building multi-modal AI applications. It facilitates real-time voice streaming and vision-language task processing across various operating systems and ARM-based embedded devices. Users can integrate Large Language Models with physical sensors and hardware actuators using an extensible plugin system. The software supports MCP (Model Context Protocol) tools for tasks like media playback, camera management, and system control. It is designed for developers building embodied AI, robotics, and cross-platform desktop assistants.
py-xiaozhi at a glance
- Best for: Software engineer
- Runs on: Windows, macOS, Linux, self-hosted, open source
- Pricing: Free
- Released: February 2025
- Category: AI agent tool
- Website: github.com/huangjunsen0406/py-xiaozhi
Key features
- Real-time voice streaming with Opus codec and auto frame detection
- Multi-modal vision integration for image understanding and scene perception
- Modular MCP tool ecosystem for hardware and app control
- On-device keyword spotting with Sherpa-ONNX
- Dual-protocol communication via WebSocket and MQTT
- Async plugin architecture with dependency injection
- Cross-platform support for Windows, macOS, Linux, and ARM boards
Use it for
- Developing robotics control and hardware actuation interfaces
- Creating local voice-controlled desktop assistants
- Building headless AI servers for IoT devices
- Implementing vision-language workflows on edge hardware
Alternatives to py-xiaozhi
- Xiaozhi ESP32 — It provides a hardware-based, open-source platform for building AI voice bots.
- Xiaozhi Server — Self-hosted server for Xiaozhi ESP32 hardware
- Pipecat — Builds real-time voice and multimodal agents with frame-level control.
- Hybro — Orchestrates local and remote agents using the open Agent2Agent protocol.
- ESP-Claw — Runs agent runtimes directly on device chips for local decision making.
- BeeAI Framework — Provides constraint enforcement for predictable agent behavior.
- RuoYi AI — It offers multi-provider LLM management and visual workflow orchestration.
- Composio — Equips AI agents with tools, managed user auth, and sandboxes across 1,500+ apps
- MyAgent — It features built-in permission controls, long-term memory, and skill self-evolution.
- OpenSquilla — Maximizes AI intelligence density while minimizing token costs through smart routing.
- Beeuni — Agents retain context and improve skills over time through a controlled review process.
- Langroid — Simplifies multi-agent orchestration and app development with intuitive abstractions.
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