SalesforceAIResearch/MAS-Zero
Designing Multi-Agent Systems with Zero Supervision
This project helps AI researchers and developers design complex AI systems involving multiple interacting agents, without needing extensive pre-labeled data or human oversight. You provide a high-level task, and it generates the optimal multi-agent system (MAS) code, which is then evaluated for solvability and completeness. The output is a verified, efficient MAS design ready for implementation.
115 stars. No commits in the last 6 months.
Use this if you are an AI researcher or developer building sophisticated multi-agent AI systems and want to automate the design process with minimal manual supervision.
Not ideal if you are looking for a plug-and-play solution for simple, single-agent tasks or if you are not comfortable working with code generation and evaluation.
Stars
115
Forks
12
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 08, 2025
Commits (30d)
0
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