agents
A framework for building real-time voice AI agents.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 10.8k
- Source
- GitHub
- Added
- 2026-06-05
- Last verified
- 2026-06-05

Overview
Agents is a framework for building real-time voice AI agents, designed to address the need for multimodal conversational agents that can see, hear, and understand. By flexibly integrating various speech-to-text (STT), large language models (LLM), and text-to-speech services, users can customize their own AI agents according to specific application scenarios. The framework is suitable for developers and enterprises aiming to achieve more natural and seamless human-machine interaction.
Key features
- ▪Flexible integration of STT, LLM, etc.
- ▪Built-in task scheduling and distribution
- ▪Supports WebRTC client development
- ▪Seamless telephony integration capabilities
- ▪Simple inter-client data exchange
- ▪Semantic turn detection reduces interference
Use cases
Pros
- +Highly customizable
- +Good cross-platform compatibility
- +Strong community support
- +Easy to extend with new features
Limitations / notes
- -Requires some programming knowledge
- -Relies on external API services
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
How do I get started with Agents?
After installing the core library, configure the required plugins and services according to the documentation to begin development.
Does Agents support custom models?
Yes, third-party models can be integrated via the plugin mechanism.
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