balajivis/sutra-mas
36,299 multi-agent systems papers collected, 17,969 analyzed with coordination patterns, embeddings, and a 16-cluster taxonomy — the largest structured MAS corpus bridging 30 years of classical research with modern LLM agents
This project offers a comprehensive database of multi-agent systems research, spanning 30 years from classical concepts to modern LLM agents. It takes a vast collection of academic papers and provides structured insights like coordination patterns, theoretical mappings, and a 16-cluster taxonomy. Researchers, engineers, or anyone building complex AI systems can use this to design more reliable and effective multi-agent solutions by leveraging established coordination protocols.
Use this if you are developing or researching multi-agent AI systems and need to understand proven coordination mechanisms to prevent common failures and improve system reliability.
Not ideal if you are looking for an off-the-shelf software library for building LLM agents without needing to delve into underlying research and coordination theory.
Stars
23
Forks
4
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 16, 2026
Commits (30d)
0
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