Athena

A General-Purpose AI Agent ✨

Athena is a production-ready general AI agent built to do, not just think. It bridges insight with execution, helping you move from idea to results effortlessly.

Some examples of what Athena can do:

• "📥 Find the top 3 most-starred Python repositories on GitHub this week and summarize what each does"
• "🔎 Search Hacker News for posts about 'LangChain' and summarize the top 3 discussions"
• "✈️ Check for flight prices every day and visualize price trends over time"
• "📊 Plot the MACD and RSI for TSLA over the last week"
• "🗺️ Get the past year's weather in Tokyo and tell me the best time to visit"
• "💬 Translate this Word document from Spanish to English and preserve formatting"
• "📚 Scrape the top 10 books from the New York Times Best Sellers list and generate a reading list"
• "🧠 Train a digit recognition model on the MNIST dataset using PyTorch"

Explore demos and experience Athena directly in your browser: https://athenalab.ai/.

Join our community: Discord | X

✨ Features

With all the tools it has, Athena is capable of:

• Computer control through command line
• Accessing files and folders
• Python code execution
• Web browser automation
• Web search via Jina
• Time awareness and scheduling
• Chatting with other language models
• Short-term memory for context retention
• Bot functionality for Telegram and Discord

......

🚀 Quick Start

1. Clone the repository:

git clone https://github.com/Athena-AI-Lab/athena-core.git

1. Install pnpm (if not already installed):

npm install -g pnpm

1. Install project dependencies:

cd athena-core
pnpm i
pnpx playwright install

1. Copy the example config file:

cp configs/config.yaml-example configs/config.yaml

1. Edit configs/config.yaml with your API key. Here's a minimal working configuration:

quiet: true

plugins:
  cerebrum:
    base_url: https://api.openai.com/v1
    api_key: sk-proj-your-openai-api-key
    model: gpt-4o
    temperature: 0.5
    image_supported: true
    max_prompts: 50
    max_event_strlen: 65536
    max_tokens: 16384
  clock:
  http:
  short-term-memory:
  file-system:
  python:
  shell:
  browser:
    headless: false
  cli-ui:

Note: This is a minimal working configuration. Advanced features such as Jina web search, multiple language model support, Telegram and Discord integration are not included here, though some may be essential for production use and require additional API keys.

For a complete list of plugins and detailed configuration options, please refer to the Configuration Guide. See Cerebrum section for best practices on selecting the right model for your use case.

1. Launch Athena:

pnpm start

1. Now you can talk to Athena in your terminal!

📝 Documentation

Other projects have docs. We have Vibe Docs.

Yes, there's a Configuration Guide if you're into that sort of thing. But if you really want to understand Athena, we recommend a more modern approach: feed the entire codebase to your favorite AI — Cursor, Windsurf, Athena herself, or even your toaster if it runs GPT — and just ask it how things work.

Trust us: the AI will probably do a better job explaining it than we ever could. It's like documentation, but smarter, more interactive, and doesn't judge your typos.

Note: This is not a joke. We are serious. The above is also vibe documented.

🗓️ Roadmap

Our mission is to realize human-level intelligence, or AGI, by evolving Athena into a truly autonomous and capable agent. Here's a more detailed roadmap of what we're working on:

• [ ] Autonomous Code Writing

• Enable Athena to iteratively write and improve its own plugins

• [ ] Robust Browser Automation

• Improve reliability and fault tolerance in headless and headful modes

• Add advanced DOM element parsing and interaction strategies

• [ ] Context Management Improvements

• Adjust prompt context windows for different LLMs

• Implement context summarization for out-of-window context

• [ ] Long-Term Memory with RAG

• Set up vector database integration for persistent knowledge

• Enable memory recall across sessions and tasks

• Support user-specific long-term context embedding and retrieval

• [ ] Image and Video Model Expansion

• Integrate support for more image and video generation models

• Enable multimodal workflows that combine text, image, and video reasoning

• [ ] Video Understanding Capabilities

• Implement advanced video content analysis and understanding capabilities
• Develop temporal reasoning for video sequences and events
• Enable extraction of key information and insights from video sources

🤝 Contributing

We welcome contributions from everyone — whether you're fixing a typo, suggesting a feature, or building a whole new plugin!

Athena is a community-driven project, and we believe in building great tools together. Here's how you can help:

💡 Got an Idea?

Open a GitHub Issue and let's discuss it! Whether it's a feature request, a bug report, or a wild idea — we're all ears.

🛠 Want to Contribute Code?

1. Fork the repo and create your branch: bash git checkout -b your-feature
2. Make your changes and commit them with a clear message.
3. Push to your fork and open a Pull Request.

🧪 Suggest Tests or Improvements

Not into code? You can still help by:

• Testing features and reporting issues
• Improving documentation
• Sharing Athena with others and providing feedback

🌟 Join the Community

Chat with us on Discord and follow @AthenaAGI on X for updates, tips, and more.

📄 License

This project is licensed under the BSD 3-Clause License. See the LICENSE file for details.