https://github.com/abeenoch/test-multiagent
AI multi-agent
Science Score: 13.0%
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○Scientific vocabulary similarity
Low similarity (5.2%) to scientific vocabulary
Last synced: 9 months ago
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Repository
AI multi-agent
Basic Info
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 1 year ago
· Last pushed over 1 year ago
Metadata Files
Readme
README.md
Multi-Agent System
Overview
This project demonstrates a multi-agent Retrieval-Augmented Generation (RAG) system, enhanced with Total Value Locked (TVL) monitoring for various DeFi chains using the DeFiLlama API.
The system leverages multiple agents to handle tasks like: - Fetching TVL data dynamically. - Querying and monitoring DeFi protocols. - Coordinating between agents in a multi-agent environment.
Features
- Multi-Agent System: Uses multiple agents to handle specific tasks like TVL monitoring.
- Real-Time TVL Fetching: Fetches TVL data across multiple chains using the DeFiLlama API.
- Customizable: Agents can be tailored for specific DeFi protocols and workflows.
- Error Handling: Includes retries and logging for better fault tolerance.
Owner
- Name: Abe Enoch Aboluwarin
- Login: abeenoch
- Kind: user
- Location: nigeria
- Website: fortyfourhundred.business.site
- Twitter: benzoorimolade
- Repositories: 3
- Profile: https://github.com/abeenoch
dislikes snakes except python.
GitHub Events
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- Push event: 1
Last Year
- Push event: 1
Dependencies
requirements.txt
pypi
- openai ==1.55.1
- python-dotenv ==1.0.1