Multi-Agent Tensor Uncertainty for LLM-based multi-agent systems
MATU sits in PulseGate's AI & ML category. It focuses on enabling robust uncertainty modeling in multi-agent systems using large language models. It is built as an open-source project for AI researchers and developers. MATU is open source under the MIT license. MATU is available on the web, the command line, and API, and it can be self-hosted.
It is developed by tiejin98, and the product first shipped in 2026. Development happens publicly on GitHub with 9 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — MATU occupies a relatively distinct niche. Key capabilities include tensor uncertainty modeling, multi-agent support, and LLM integration.
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