
eureka-framework
Eureka's AI Agent Framework
Stars: 302

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]
For Tasks:
Click tags to check more tools for each tasksFor Jobs:
Alternative AI tools for eureka-framework
Similar Open Source Tools

eureka-framework
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.

Open-WebUI-Functions
Open-WebUI-Functions is a collection of Python-based functions that extend Open WebUI with custom pipelines, filters, and integrations. Users can interact with AI models, process data efficiently, and customize the Open WebUI experience. It includes features like custom pipelines, data processing filters, Azure AI support, N8N workflow integration, flexible configuration, secure API key management, and support for both streaming and non-streaming processing. The functions require an active Open WebUI instance, may need external AI services like Azure AI, and admin access for installation. Security features include automatic encryption of sensitive information like API keys. Pipelines include Azure AI Foundry, N8N, Infomaniak, and Google Gemini. Filters like Time Token Tracker measure response time and token usage. Integrations with Azure AI, N8N, Infomaniak, and Google are supported. Contributions are welcome, and the project is licensed under Apache License 2.0.

kitchenai
KitchenAI is an open-source toolkit designed to simplify AI development by serving as an AI backend and LLMOps solution. It aims to empower developers to focus on delivering results without being bogged down by AI infrastructure complexities. With features like simplifying AI integration, providing an AI backend, and empowering developers, KitchenAI streamlines the process of turning AI experiments into production-ready APIs. It offers built-in LLMOps features, is framework-agnostic and extensible, and enables faster time-to-production. KitchenAI is suitable for application developers, AI developers & data scientists, and platform & infra engineers, allowing them to seamlessly integrate AI into apps, deploy custom AI techniques, and optimize AI services with a modular framework. The toolkit eliminates the need to build APIs and infrastructure from scratch, making it easier to deploy AI code as production-ready APIs in minutes. KitchenAI also provides observability, tracing, and evaluation tools, and offers a Docker-first deployment approach for scalability and confidence.

pocketpal-ai
PocketPal AI is a versatile virtual assistant tool designed to streamline daily tasks and enhance productivity. It leverages artificial intelligence technology to provide personalized assistance in managing schedules, organizing information, setting reminders, and more. With its intuitive interface and smart features, PocketPal AI aims to simplify users' lives by automating routine activities and offering proactive suggestions for optimal time management and task prioritization.

llmchat
LLMChat is an all-in-one AI chat interface that supports multiple language models, offers a plugin library for enhanced functionality, enables web search capabilities, allows customization of AI assistants, provides text-to-speech conversion, ensures secure local data storage, and facilitates data import/export. It also includes features like knowledge spaces, prompt library, personalization, and can be installed as a Progressive Web App (PWA). The tech stack includes Next.js, TypeScript, Pglite, LangChain, Zustand, React Query, Supabase, Tailwind CSS, Framer Motion, Shadcn, and Tiptap. The roadmap includes upcoming features like speech-to-text and knowledge spaces.

aiogram-django-template
Aiogram & Django API Template is a robust and secure Django template with advanced features like Docker integration, Celery for asynchronous tasks, Sentry for error tracking, Django Rest Framework for building APIs, and more. It provides scalability options, up-to-date dependencies, and integration with AWS S3 for storage. The template includes configuration guides for secrets, ports, performance tuning, application settings, CORS and CSRF settings, and database configuration. Security, scalability, and monitoring are emphasized for efficient Django API development.

sparka
Sparka AI is a multi-provider AI chat tool that allows users to access various AI models like Claude, GPT-5, Gemini, and Grok through a single interface. It offers features such as document analysis, image generation, code execution, and research tools without the need for multiple subscriptions. The tool is open-source, production-ready, and provides capabilities for collaboration, secure authentication, attachment support, AI-powered image generation, syntax highlighting, resumable streams, chat branching, chat sharing, deep research, code execution, document creation, and web analytics. Built with modern technologies for scalability and performance, Sparka AI integrates with Vercel AI SDK, tRPC, Drizzle ORM, PostgreSQL, Redis, and AI SDK Gateway.

J.A.R.V.I.S.-Ai-Assistant-V1-
Jarvis Version 3 is a versatile personal assistant application designed to enhance productivity by automating common tasks. It can interact with websites and applications, perform searches, manage device functions, and control music. Users can give commands to open websites, search on Google or YouTube, scroll pages, manage applications, check time, internet speed, battery percentage, battery alerts, charging status, play music, and synchronize clapping with music. The tool offers features for web navigation, search functionality, scrolling, application management, device management, and music control.

Ivy-Framework
Ivy-Framework is a powerful tool for building internal applications with AI assistance using C# codebase. It provides a CLI for project initialization, authentication integrations, database support, LLM code generation, secrets management, container deployment, hot reload, dependency injection, state management, routing, and external widget framework. Users can easily create data tables for sorting, filtering, and pagination. The framework offers a seamless integration of front-end and back-end development, making it ideal for developing robust internal tools and dashboards.

dspy.rb
DSPy.rb is a Ruby framework for building reliable LLM applications using composable, type-safe modules. It enables developers to define typed signatures and compose them into pipelines, offering a more structured approach compared to traditional prompting. The framework embraces Ruby conventions and adds innovations like CodeAct agents and enhanced production instrumentation, resulting in scalable LLM applications that are robust and efficient. DSPy.rb is actively developed, with a focus on stability and real-world feedback through the 0.x series before reaching a stable v1.0 API.

intellij-aicoder
AI Coding Assistant is a free and open-source IntelliJ plugin that leverages cutting-edge Language Model APIs to enhance developers' coding experience. It seamlessly integrates with various leading LLM APIs, offers an intuitive toolbar UI, and allows granular control over API requests. With features like Code & Patch Chat, Planning with AI Agents, Markdown visualization, and versatile text processing capabilities, this tool aims to streamline coding workflows and boost productivity.

Lidar_AI_Solution
Lidar AI Solution is a highly optimized repository for self-driving 3D lidar, providing solutions for sparse convolution, BEVFusion, CenterPoint, OSD, and Conversion. It includes CUDA and TensorRT implementations for various tasks such as 3D sparse convolution, BEVFusion, CenterPoint, PointPillars, V2XFusion, cuOSD, cuPCL, and YUV to RGB conversion. The repository offers easy-to-use solutions, high accuracy, low memory usage, and quantization options for different tasks related to self-driving technology.

oreilly-ai-agents
This repository contains code for O'Reilly Live Online Training for AI Agents A-Z and Modern Automated AI Agents video series. It provides a guide to understanding, implementing, and managing AI agents, covering frameworks like CrewAI, LangChain, and AutoGen. Participants learn to build agents from scratch using prompt engineering techniques, deploy AI agents, evaluate performance, and make informed decisions in AI projects.

SparkyFitness
SparkyFitness is a self-hosted alternative to MyFitnessPal, offering comprehensive fitness tracking and management tools for monitoring nutrition, exercise, and body measurements. Users can track daily progress, set goals, and generate insightful reports to support a healthy lifestyle. The application includes features for nutrition tracking, exercise logging, water intake monitoring, body measurements recording, goal setting, daily check-ins, AI nutrition coaching, user authentication & profiles, comprehensive reports, and customizable themes. It also provides a secure login system, support for family access, and personalized guidance through a chat-based AI coach. SparkyFitness aims to help users achieve their fitness and nutrition goals with a minimal, distraction-free interface.

aigne-hub
AIGNE Hub is a unified AI gateway that manages connections to multiple LLM and AIGC providers, eliminating the complexity of handling API keys, usage tracking, and billing across different AI services. It provides self-hosting capabilities, multi-provider management, unified security, usage analytics, flexible billing, and seamless integration with the AIGNE framework. The tool supports various AI providers and deployment scenarios, catering to both enterprise self-hosting and service provider modes. Users can easily deploy and configure AI providers, enable billing, and utilize core capabilities such as chat completions, image generation, embeddings, and RESTful APIs. AIGNE Hub ensures secure access, encrypted API key management, user permissions, and audit logging. Built with modern technologies like AIGNE Framework, Node.js, TypeScript, React, SQLite, and Blocklet for cloud-native deployment.

OpenChat
OS Chat is a free, open-source AI personal assistant that combines 40+ language models with powerful automation capabilities. It allows users to deploy background agents, connect services like Gmail, Calendar, Notion, GitHub, and Slack, and get things done through natural conversation. With features like smart automation, service connectors, AI models, chat management, interface customization, and premium features, OS Chat offers a comprehensive solution for managing digital life and workflows. It prioritizes privacy by being open source and self-hostable, with encrypted API key storage.
For similar tasks

eureka-framework
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.

singulatron
Singulatron is an AI Superplatform that runs on your computer(s) and server(s) without using third party APIs, providing complete control over data and privacy. It offers AI functionality, user management, supports different database backends, collaboration, and mini-apps. It aims to be a desktop app for local usage and a distributed daemon for servers, with a web app frontend client. The tool is stack-based on Electron, Angular, and Go, and currently dual-licensed under AGPL-3.0-or-later and a commercial license.
For similar jobs

sweep
Sweep is an AI junior developer that turns bugs and feature requests into code changes. It automatically handles developer experience improvements like adding type hints and improving test coverage.

teams-ai
The Teams AI Library is a software development kit (SDK) that helps developers create bots that can interact with Teams and Microsoft 365 applications. It is built on top of the Bot Framework SDK and simplifies the process of developing bots that interact with Teams' artificial intelligence capabilities. The SDK is available for JavaScript/TypeScript, .NET, and Python.

ai-guide
This guide is dedicated to Large Language Models (LLMs) that you can run on your home computer. It assumes your PC is a lower-end, non-gaming setup.

classifai
Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. Tap into leading cloud-based services like OpenAI, Microsoft Azure AI, Google Gemini and IBM Watson to augment your WordPress-powered websites. Publish content faster while improving SEO performance and increasing audience engagement. ClassifAI integrates Artificial Intelligence and Machine Learning technologies to lighten your workload and eliminate tedious tasks, giving you more time to create original content that matters.

chatbot-ui
Chatbot UI is an open-source AI chat app that allows users to create and deploy their own AI chatbots. It is easy to use and can be customized to fit any need. Chatbot UI is perfect for businesses, developers, and anyone who wants to create a chatbot.

BricksLLM
BricksLLM is a cloud native AI gateway written in Go. Currently, it provides native support for OpenAI, Anthropic, Azure OpenAI and vLLM. BricksLLM aims to provide enterprise level infrastructure that can power any LLM production use cases. Here are some use cases for BricksLLM: * Set LLM usage limits for users on different pricing tiers * Track LLM usage on a per user and per organization basis * Block or redact requests containing PIIs * Improve LLM reliability with failovers, retries and caching * Distribute API keys with rate limits and cost limits for internal development/production use cases * Distribute API keys with rate limits and cost limits for students

uAgents
uAgents is a Python library developed by Fetch.ai that allows for the creation of autonomous AI agents. These agents can perform various tasks on a schedule or take action on various events. uAgents are easy to create and manage, and they are connected to a fast-growing network of other uAgents. They are also secure, with cryptographically secured messages and wallets.

griptape
Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.