Jev in production › Agent context and memory
Jev decides which files a coding agent reads during triage via an MCP decision layer; benchmark shows file triage reads 408 tokens instead of 35,256 for the same task (author).

A Jev MCP server: a decision layer for your coding agent, built on TypeSafe Jev (System One model). Ship gates, risk checks, file triage, and browser verification, with typed, calibrated answers.
Website: abhishekswe.github.io/agent-fastpath. See how it decides, real example responses, and setup for 12 coding agents.
Coding agents like Claude Code, Codex, and Cursor spend context and time on small decisions: is this CI log ready to ship, which of these 40 files handle auth, did the page actually say "Order confirmed". agent-fastpath answers them with typed, calibrated results in milliseconds to a couple of seconds, and hands control back when it is not sure.
For the project's own README, linking back here: