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openai-realtime-embedded is a repository that provides resources, SDKs, and example links for using OpenAI’s Realtime API on embedded hardware platforms (e.g. microcontrollers). The goal is to enable low-latency conversational agents (e.g. voice-based assistants) running directly on constrained devices, by leveraging WebRTC and streaming APIs to communicate with OpenAI systems. The repo includes pointers to an ESP32 implementation (maintained as esp32 branch) and documentation that Espressif offers an official example in openai_demo. It does not appear to include a full cross-platform embedded SDK in the main branch (the core content is mostly links and minimal README), but acts as a launching point for integrating realtime on microcontrollers.
Features
- Links and guidance for using the OpenAI Realtime API on microcontrollers (especially ESP32)
- Example branch (esp32) containing embedded SDK/implementation code
- Official endorsement of an Espressif example in their openai_demo directory
- MIT license, supporting reuse and extension in embedded projects
- Minimal README with high-level instructions and pointers, avoiding heavier documentation bloat
- Platform exposure and encouragement for community contributions and porting (e.g. open issues for sample rate, platform support, etc)
Project Samples
