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Astra Agent

Astra multimodal agent

Astra is a multimodal agent powered by TEN , demonstrating its capabilities in speech, vision, and reasoning through RAG from local documentation.

How to build Astra locally

Prerequisites

Keys

• Agora App ID and App Certificate (certificate is not required)
• AWS IAM User's Access key and Secret key

Installation

• Docker / Docker Compose
• Node.js(LTS) v18

Minimum system requirements

• CPU >= 2 Core
• RAM >= 4 GB

Docker setting on Apple Silicon

You will need to uncheck "Use Rosetta for x86_64/amd64 emulation on Apple Silicon" option for Docker if you are on Apple Silicon, otherwise the server is not going to work.

Next step

1. Modify config files

In the root of the project, use cp command to create .env from the example.

It will be used to store information for docker compose later.

cp ./.env.example ./.env

2. Setup API keys

Open the .env file and fill in the keys and regions. This is also where you can choose to use any different extensions:

# Agora App ID and Agora App Certificate
AGORA_APP_ID=
# Leave empty unless you have enabled the certificate within the Agora account.
AGORA_APP_CERTIFICATE=

# Extension: bedrock_llm
# Extension: polly_tts
# Extension: transcribe_asr
AWS_ACCESS_KEY_ID=
AWS_SECRET_ACCESS_KEY=

# model id supported by Bedrock Converse API, the model you choose should support system prompt. https://docs.aws.amazon.com/bedrock/latest/userguide/conversation-inference.html
AWS_BEDROCK_MODEL=mistral.mistral-large-2407-v1:0

AWS_REGION=us-east-1 # the Region you're using

3. Start agent development containers

In the same directory, run the docker compose up command to compose containers:

docker compose up

Finish and verify 🎉

Astra multimodal agent

Open up http://localhost:3000 in browser to play and test the Astra agent.

Graph designer

Open up another tab go to http://localhost:3001, and use Graph Designer to create, connect and edit extensions on canvas.

Astra Agent Comparison

Features	Astra Agent	Pipecat	LiveKit:KITT	Vapi.ai	DailyBots	Play.ai
Vision	✅	❌	❌	❌	❌	❌
Rich TTS Support for different languages	✅	❌	❌	❌	❌	❌
Go support for extension	✅	❌	❌	❌	❌	❌
C++ support for extension	✅	❌	❌	❌	❌	❌
RAG support	✅	❌	❌	❌	❌	❌
Workflow builder for extension	✅	❌	❌	✅	❌	❌
Rich LLM Support	✅	✅	✅	✅	✅	✅
Python support for extension	✅	✅	✅	✅	✅	✅
Open source	✅	✅	✅	❌	❌	❌

Stay Tuned

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Join Community

• Discord: Ideal for sharing your applications and engaging with the community.
• GitHub Discussion: Perfect for providing feedback and asking questions.
• GitHub Issues: Best for reporting bugs and proposing new features. Refer to our contribution guidelines for more details.
• X (formerly Twitter): Great for sharing your agents and interacting with the community.

Code Contributors

Contribution Guidelines

Contributions are welcome! Please read the contribution guidelines first.

License

This project is licensed under the Apache 2.0 License - see the LICENSE file for details.