
eureka-framework
Eureka's AI Agent Framework
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The Eureka Framework is an open-source toolkit that leverages advanced Artificial Intelligence and Decentralized Science principles to revolutionize scientific discovery. It enables researchers, developers, and decentralized organizations to explore scientific papers, conduct AI-driven experiments, monetize research contributions, provide token-gated access to AI agents, and customize AI agents for specific research domains. The framework also offers features like a RESTful API, robust scheduler for task automation, and webhooks for real-time notifications, empowering users to automate research tasks, enhance productivity, and foster a committed research community.
README:
The Eureka Framework is a cutting-edge, open-source toolkit designed to revolutionize scientific discovery through AI-driven research and experiment simulation. By combining advanced Artificial Intelligence with Decentralized Science (DeSci) principles, we empower researchers, developers, and decentralized organizations to push the boundaries of scientific exploration.
๐ง Autonomous Research | ๐งช Simulation | ๐ Token-Gated Access | ๐ค Customization
- ๐จ Disclaimers
- ๐ Key Features
- ๐ Quick Start Guide
- ๐ป Installation
- ๐ ๏ธ Usage
- โ๏ธ Configuration
- ๐ค Contributing
- ๐ License
- ๐ Join the Revolution
- ๐ธ Usage Costs: AI providers (e.g., OpenAI's GPT-4 API) may incur significant costs. Monitor your usage carefully!
- ๐ Security: Protect your API keys and sensitive information. Never expose them publicly!
-
๐ฌ AI-Driven Research Exploration:
- Autonomous agents analyze scientific papers using advanced LLMs.
- Generate actionable insights and propose next-step research directions.
-
๐งช Experiment Simulation:
- Conduct AI-driven experiments based on scraped or user-provided datasets.
- Employ chain-of-thought reasoning for hypothesis generation and validation.
-
๐ฐ Incentivized Collaboration:
- Partner with DeSci DAOs like BioProtocol and RND Terminal.
- Monetize your research contributions and participation.
-
๐ Token-Gated Access:
- Exclusive AI agent access for token holders.
- Foster a committed and incentivized research community.
-
๐ค Customizable AI Agents:
- Deploy tailored AI agents for specific research domains.
- Enhance focus and productivity in targeted areas of study.
-
๐ RESTful API:
- FastAPI-powered for seamless integration with external applications.
- Extensible and interoperable architecture.
-
โฐ Robust Scheduler:
- Automate periodic tasks like research scraping and social media posting.
- Maintain consistent performance and workflow automation.
-
๐ Webhooks for Notifications:
- Real-time notifications for workflow completions and critical events.
- Seamless integration with external services.
-
๐ AI-Generated Reports:
- Create professional-grade reports summarizing research findings and simulations.
- Integrates with research workflows to deliver actionable results.
-
๐ Real-Time Insights:
- Highlight key trends and patterns from uploaded or scraped data instantly.
- Facilitate both individual exploration and collaborative research workflows.
-
Clone the Repository
git clone https://github.com/yourorganization/eureka_framework.git cd eureka_framework
-
Set Up the Environment
python -m venv venv source venv/bin/activate # Linux/Mac # or venv\Scripts\activate.bat # Windows
-
Install Dependencies
pip install -r requirements.txt
-
Initialize the Database
python app/db/init_db.py
-
Launch the Framework
uvicorn main:app --reload
๐ Access the interactive API documentation at
http://127.0.0.1:8000/docs
The Eureka Framework employs an event-driven CoT kernel to process user tasks efficiently and modularly. This ensures that research and experimentation workflows remain flexible and reusable across various applications.
How It Works:
- Input Stage: The user provides data or inputs a query (e.g., "Analyze sleep data trends").
- Contextual Processing: Data flows through the context generator, which interacts with a vector database to provide relevant insights.
- Agent Tasking: AI agents handle tasks such as research scraping, data analysis, or simulation workflows.
- Outcome Delivery: Results are returned to the user or stored for future access.
This workflow breaks down user queries into actionable steps to ensure clarity and success.
Example Workflow:
- Input: "Analyze my uploaded research data and suggest experiments."
- Step 1: Scrape uploaded documents and summarize key findings.
- Step 2: Identify potential gaps or next steps in the data.
- Step 3: Simulate experiments based on findings and provide insights.
Generate high-quality, AI-powered research reports summarizing data trends, experimental outcomes, and actionable recommendations.
Key Features:
- Automatically integrates charts and data visualizations.
- Provides clear, structured insights tailored to research objectives.
Customize Eureka Framework to fit your needs by modifying app/core/config.py
or setting environment variables:
- ๐ API settings:
API_V1_STR
- ๐ฅ๏ธ Server settings:
SERVER_HOST
,SERVER_PORT
- ๐๏ธ Database settings:
DATABASE_URL
- ๐ API credentials: OpenAI, Twitter, etc.
- ๐๏ธ Token requirement settings
Join our community of innovators! Here's how you can contribute:
- ๐ด Fork the repository.
- ๐ฟ Create a feature branch:
git checkout -b feature/amazing-feature
- ๐ป Commit your changes:
git commit -m 'Add some amazing feature'
- ๐ Push to the branch:
git push origin feature/amazing-feature
- ๐ Submit a Pull Request.
Please review our Code of Conduct before contributing.
Eureka Framework is proudly open-source under the MIT License. Check out the LICENSE file for details.
By adopting Eureka Framework, you're not just using a tool โ you're joining a movement to reshape scientific research. Harness the power of AI and DeSci to drive impactful discoveries and foster a collaborative research community.
๐ก Let's build the future of science โ intelligent, decentralized, and collaborative.
๐ง Reach out to us at [email protected]
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