Jev in production › Agent context and memory

JIT-JEV Context OS

Coding-agent context runtime where a Jev gate shadow-evaluates context facts, proposes evictions and prefetches memory, failing open to heuristics. On fixture tasks, Jev runs showed -31.3% turns per task vs a full-context baseline, with fewer solved (author).

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-31.3%measured against a baseline, as published by the source
Use
Agent context and memory
Industry
Developer tools
Form
Open-source tool
Stage
In production
Plugs into
Agent Zero
Listed
2026-09-24
Found via
github
Repository
wojciechwiesner/jit-context
Stars
9
Forks
1
Last push
2026-10-09
Language
Python
License
MIT

The README opens with

JIT-JEV Context OS: Epistemic Runtime & System 1 Gate for AI Agents

The Epistemic Operating System for Autonomous Coding Agents. Eliminating the Haystack Tax: 61% fewer agent turns, 2.44x faster delivery, and 99% prompt token reduction on production codebases.

Production Benchmark Snapshot (Commercial Web Audio Codebase — 45 Modules) Metric Without JIT-JEV (Haystack) With JIT-JEV Context OS Net Advantage :--- :---: :---: :--- Delivery Time 9m 27s 3m 52s 2.44x Faster Delivery (-59%) Agent Turns (API Rounds) 171 turns 66 turns -61.4% Fewer Multi-Turn Rounds Active Prompt Footprint 50,000 tokens 482 tokens 99% Token Cost Elimination Blind Tool Discovery / File Reads 73 file reads 24 reads -67.1% Less Context Wandering Circular Error & Patch Loops...

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For the project's own README, linking back here:

Listed in Jev in production

Also used for agent context and memory