jevXagent
When Jev meets LLM — Transparent proxy that makes AI coding agents 3× faster and 80% cheaper. Cut response times from 2.4s to 890ms with Line J architecture.
How it uses Jev
jevXagent is a transparent proxy that supercharges your AI coding agents (Claude Code, Codex, Kilo, Cline) by routing prompts through Jev's blazing-fast decision engine before the main LLM generates a response.
Highlights
- Zero-Config Proxy - One command to start, works with all your agents
- 4 Agent Support - Claude Code, Codex, Kilo Code, Cline (auto-detected)
- Line J Injection - Jev decisions as system context (the secret sauce)
- Fail-Open Design - Jev timeout? Agent still works perfectly
- Real-Time Metrics - See latency and token savings per request
- Live Console Display - Track every request's performance
Use cases
- High-Volume Development - Save 80% on token costs across your team
- Performance-Critical Workflows - Cut response times from 3s to 1s
- Token Budget Management - Track and optimize AI spending
- Production Monitoring - Real-time visibility into agent performance
- Coding tasks with clear classification (bugs, features, refactors)
- DevOps automation prompts
- Language
- Python 100%
- License
- MIT
- Latest release
- jevXagent v0.2.0 - Make AI Agents 3× Faster
- Last activity
- Sep 2026
- Added
- 2026-09-24
- Stars at snapshot
- 1
- Status
- Community listing
Source: community catalog. Details and metrics reflect the published community snapshot and are not a performance endorsement. Documentation details extracted from GitHub · the README · the project website.