Designing Multiagent Systems
Build AI systems where agents collaborate to solve tasks
# Developer ToolsWhat is Designing Multiagent Systems?
The future of AI is specialized agents working together. From a core contributor of AutoGen (50K+ stars), learn to build, evaluate, and deploy multi-agent systems from scratch. Includes the picoagents library you'll build from scratch.
Problem
Users build AI systems with single-agent approaches leading to inefficient handling of complex, interdependent tasks and limited scalability due to lack of specialized collaboration.
Solution
A framework and educational toolkit enabling users to build, evaluate, and deploy collaborative AI multi-agent systems from scratch using the custom picoagents library. Example: Create task-specific agents that communicate to solve problems iteratively.
Customers
AI developers and engineers, researchers focusing on multi-agent systems, and teams working on scalable AI solutions for enterprise applications.
Unique Features
Built by a core contributor of AutoGen (50K+ GitHub stars), includes hands-on library development, and emphasizes real-world deployment strategies for multi-agent workflows.
User Comments
N/A
Traction
Associated with AutoGen’s 50K+ GitHub stars; exact user/revenue data unspecified. Founder’s expertise adds credibility.
Market Size
The global AI market is projected to reach $1.8 trillion by 2030, with multi-agent systems gaining traction in complex automation and enterprise use cases.
