mmao-opt is an open-source metabolic multi-agent optimization framework designed for continuous, discrete, dynamic, and classification-oriented search tasks. It provides tools for benchmarking, metaheuristic optimization, and auto-configuration, making it suitable for developers and researchers working on complex optimization problems.
In the Frameworks & SDKs space, mmao-opt takes a focused approach. Enabling developers and researchers to perform advanced optimization and search tasks using a flexible multi-agent framework. mmao-opt is an open-source project aimed at developers and researchers in optimization and machine learning. The project is open source (Apache-2.0). It runs on the command line.
wolfbrother builds and maintains mmao-opt, and the product first shipped in 2026. The project is developed in the open on GitHub with 1 commits in the last 90 days. Across PulseGate's embedding index, mmao-opt has few near neighbours, marking it as relatively distinct. Among its 8 catalogued features are multi-agent optimization, continuous search, and discrete search.
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