KOLeague is an AI-powered decision-making agent designed to analyze market trends, rank Key Opinion Leaders (KOLs), and provide insights based on social media sentiment and critical thinking frameworks.
- KOL Ranking Algorithm: Evaluates and ranks KOLs based on their market predictions and social influence.
- Social Insight Extraction: Collects and analyzes market sentiment from various sources.
- Critical Thinking Framework: Uses AI to simulate internal debates and make data-driven decisions.
- On-Chain Integration: Connects with decentralized exchanges (DEX) to highlight trending tokens.
- Web Client: Provides a user-friendly interface for interaction with the AI agent.
KOLeague is structured into multiple independent modules. Each module must be used separately by navigating to its respective directory.
kol_ranking: Implements the KOL ranking algorithm by evaluating influencers based on credibility and market accuracy.agent/autogen-framework: Uses AutoGen to facilitate AI-driven interactions for market insights.agent/eliza-framework: Provides a conversational agent based on the ELIZA framework for market discussions.onchain_toolkit: Analyzes on-chain data and provides insights into trending token, can swap token also.webclient: A front-end interface to interact with the KOLeague AI.
Each module operates independently. To use a specific module, navigate to its directory and follow its README instructions.
To use the KOL Ranking Algorithm:
cd kol_ranking
pip install -r requirements.txt
python rank_kols.pyTo use the On-Chain Toolkit:
cd onchain_toolkit
pip install -r requirements.txt
python analyze_swaps.pyFor other modules, refer to their respective README files for specific usage instructions.
Contributions are welcome! If you'd like to improve KOLeague, submit a pull request or open an issue.
KOLeague is open-source under the MIT License.