Official Site •
Documentation •
Blog
Welcome to TEN
TEN is an open-source framework for real-time multimodal conversational AI.
TEN Ecosystem includes TEN Framework, Agent Examples, VAD, Turn Detection and Portal.
| Community Channel | Purpose |
|---|
| Follow TEN Framework on X for updates and announcements |
| Join our Discord community to connect with developers |
| Follow TEN Framework on LinkedIn for updates and announcements |
| Join our Hugging Face community to explore our spaces and models |
Agent Examples
Multi-Purpose Voice Assistant — This low-latency, high-quality real-time assistant supports both RTC and WebSocket connections, and you can extend it with Memory, VAD, Turn Detection, and other extensions.
See the Example code for more details.
Doodler — A doodle board that turns spoken or typed prompts into simple hand-drawn sketches, complete with a crayon palette and real-time drawing.
Example code
Speaker Diarization — Real-time diarization that detects and labels speakers, the Who Likes What game shows an interactive use case.
Example code
Lip Sync Avatars — Works with multiple avatar vendors, the main character features Kei, an anime character with MotionSync-powered lip sync, and also supports realistic avatars from Trulience, HeyGen, and Tavus.
See the Example code for different Live2D characters.
SIP Call — SIP extension that enables phone calls powered by TEN.
Example code
Transcription — A transcription tool that transcribes audio to text.
Example code
ESP32-S3 Korvo V3 — Runs TEN agent example on the Espressif ESP32-S3 Korvo V3 development board to integrate LLM-powered communication with hardware.
See the integration guide for more details.
Quick Start with Agent Examples
Localhost
Step ⓵ - Prerequisites
Step ⓶ - Build agent examples in VM
1. Clone the repo, cd into ai_agents, and create a .env file from .env.example
cd ai_agents
cp ./.env.example ./.env
2. Set up the Agora App ID and App Certificate in .env
AGORA_APP_ID=
AGORA_APP_CERTIFICATE=
# Deepgram (required for speech-to-text)
DEEPGRAM_API_KEY=
# OpenAI (required for language model)
OPENAI_API_KEY=
# ElevenLabs (required for text-to-speech)
ELEVENLABS_TTS_KEY=
3. Start agent development containers
docker compose up -d
4. Enter the container
docker exec -it ten_agent_dev bash
5. Build the agent with the default example (~5-8 min)
Check the agents/examples folder for additional samples.
Start with one of these defaults:
# use the chained voice assistant
cd agents/examples/voice-assistant
# or use the speech-to-speech voice assistant in real time
cd agents/examples/voice-assistant-realtime
6. Start the web server
Run task install before the first launch and after changing dependencies or Go source code. It installs the TEN, Python, and frontend dependencies and builds the Go API server. Python-only source changes do not require reinstalling.
task install
task run
7. Access the agent
Once the agent example is running, you can access the following interfaces:
| localhost:49483 | localhost:3000 |
|---|
| |
Step ⓷ - Customize your agent example
- Open localhost:49483.
- Right-click the STT, LLM, and TTS extensions.
- Open their properties and enter the corresponding API keys.
- Submit your changes, now you can see the updated Agent Example in localhost:3000.
Run a transcriber app from TEN Manager without Docker (Beta)
TEN also provides a transcriber app that you can run from TEN Manager without using Docker.
Check the quick start guide for more details.
Codespaces
GitHub offers free Codespaces for each repository. You can run Agent Examples in Codespaces without using Docker. Codespaces typically start faster than local Docker environments.
Check out this guide for more details.
Agent Examples Self-Hosting
Deploying with Docker
Once you have customized your agent (either by using the TMAN Designer or editing property.json directly), you can deploy it by creating a release Docker image for your service.
Release as Docker image
Note: The following commands need to be executed outside of any Docker container.
Build image
cd ai_agents
docker build -f agents/examples/<example-name>/Dockerfile -t example-app .
Run
docker run --rm -it --env-file .env -p 3000:3000 example-app
Deploying with other cloud services
You can split the deployment into two pieces when you want to host TEN on providers such as Vercel or Netlify.
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Run the TEN backend on any container-friendly platform (a VM with Docker, Fly.io, Render, ECS, Cloud Run, or similar). Use the example Docker image without modifying it and expose port 8080 from that service.
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Deploy only the frontend to Vercel or Netlify. Point the project root to ai_agents/agents/examples/<example>/frontend, run pnpm install (or bun install) followed by pnpm build (or bun run build), and keep the default .next output directory.
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Configure environment variables in your hosting dashboard so that AGENT_SERVER_URL points to the backend URL, and add any NEXT_PUBLIC_* keys the UI needs (for example, Agora credentials you surface to the browser).
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Ensure your backend accepts requests from the frontend origin — via open CORS or by using the built-in proxy middleware.
With this setup, the backend handles long-running worker processes, while the hosted frontend simply forwards API traffic to it.
Stay Tuned
Get instant notifications for new releases and updates. Your support helps us grow and improve TEN!
TEN Ecosystem
| Project | Preview |
|---|
| ️TEN FrameworkOpen-source framework for conversational AI Agents. | |
| TEN VADLow-latency, lightweight and high-performance streaming voice activity detector (VAD). | |
| ️ TEN Turn DetectionTEN Turn Detection enables full-duplex dialogue communication. | |
| TEN Agent ExamplesUsecases powered by TEN. | |
| TEN PortalThe official site of the TEN Framework with documentation and a blog. | |
Questions
TEN Framework is available on these AI-powered Q&A platforms. They can help you find answers quickly and accurately in multiple languages, covering everything from basic setup to advanced implementation details.
| Service | Link |
|---|
| DeepWiki | |
| ReadmeX | |
Contributing
We welcome all forms of open-source collaboration! Whether you're fixing bugs, adding features, improving documentation, or sharing ideas, your contributions help advance personalized AI tools. Check out our GitHub Issues and Projects to find ways to contribute and show your skills. Together, we can build something amazing!
[!TIP]
Welcome all kinds of contributions 🙏
Join us in building TEN better! Every contribution makes a difference, from code to documentation. Share your TEN Agent projects on social media to inspire others!
Connect with one of the TEN maintainers @elliotchen200 on 𝕏 or @cyfyifanchen on GitHub for project updates, discussions, and collaboration opportunities.
Code Contributors
Contribution Guidelines
Contributions are welcome! Please read the contribution guidelines first.
License
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The entire TEN framework (except for the folders explicitly listed below) is released pursuant the Apache License, Version 2.0, with additional restrictions. For details, please refer to the LICENSE file located in the root directory of the TEN framework.
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The components within the packages directory are released under the Apache License, Version 2.0. For details, please refer to the LICENSE file located in each package's root directory.
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The third-party libraries used by the TEN framework are listed and described in detail. For more information, please refer to the third_party folder.
