AgentUniverse is a multi-agent AI framework that enables coordination between multiple intelligent agents for complex task execution and automation.
Features
- Supports multi-agent collaboration and task delegation
- Provides a modular architecture for defining agent roles
- Works with reinforcement learning to optimize agent interactions
- Integrates with AI services and APIs for real-world applications
- Scalable for enterprise AI-driven process automation
- Open-source and designed for intelligent automation
Project Samples
Categories
Agentic AI, AI Agent Frameworks, AI Agents, Multi-Agent Systems, Multi-Agent Frameworks, Reinforcement Learning Frameworks, Reinforcement Learning Libraries, Reinforcement Learning AlgorithmsLicense
Apache License V2.0Follow AgentUniverse
You Might Also Like
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of AgentUniverse!