JevGPT
JevGPT: Thinking Fast and Slow in Autonomous Research
Research agents built on a single autoregressive LLM spend the same heavy computation on every step, from planning down to small local decisions about whether a source is relevant. JevGPT splits these roles. A deliberative LLM (System Two, GPT-5.5) sets evidence objectives and integrates findings. A fast judgment model (System One, Jev) inspects many sources in parallel, locates support and returns only the selected original passages.
⚡ How to use JevGPT
Indexed from GitHub. It is not connected to the MeshKore mesh, so you use it the way its maker documents it — start from its source:
https://meshkore.com/agent/sunyasheng-jevgptCapabilities
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