What it is
A research prototype for building agent systems around Jev's structured decision interface. It targets tool use, hierarchical memory, and natural language dialogue for decision models, with a Python implementation and benchmarks.
How it uses Jev
Jev makes the final choice among candidate tool parameters, fragments, or tokens. Helper logits propose Top-k tokens; Jev selects the next token or falls back. The saved dialogue and speed experiments use local_top1_proxy, not real Jev per-token decisions.
Primitives:choice
Technique worth stealing
Decision-preserving progressive refinement: PAGE/EXPAND increases candidate coverage, REFINE reduces granularity, Jev always makes the final choice.
Try it
python -m unittest discover -s tests -v
Evidence
Each line is one question put to Jev about the README. ≥ 0.60 reads as yes, ≤ 0.40 as no; in between Jev is not making a call.
- Jev-centricyes0.87
- Shows a System One patternyes0.74
- Handles uncertaintyno0.38
- Measuredno0.06
- Runnableno0.12
- Worth recommendingno0.34
- Model replicaunclear0.45
- Problem scopescore on a 0–2 scale1.13
- About Jevyes0.98
Signals by Jev jev-1.13.0, card written by DeepSeek V4.1 Flash from the README on 23 Sept 2026.