What you can build with it

What it does

VexJoy Agent connects requests to specialist agents, reusable skills and workflows across supported coding runtimes.

Evidence 1 ↗

How Jev fits

Its /d route uses Jev to classify the request and check that the proposed outcome preserves the user’s intent before dispatch.

Evidence 1 ↗

Getting started

Install the toolkit for the desired runtime and configure direct TypeSafe or Vercel transport; the installer supports a dry-run preview.

Evidence 1 ↗ · Evidence 2 ↗

Scope and limits

Explicit transports do not silently switch. Hook enforcement depends on runtime and tool path; Jev-based context pruning is a separate optional plugin.

Evidence 1 ↗ · Evidence 2 ↗ · Evidence 3 ↗

Repository description

VexJoy AI Agent with Jev Intelligent Routing - /do routes plain-English requests to the right specialist agent and gates the work with reviews, tests, and a learning loop.

Project facts

Relationship to Jev
Integration
Evidence
Documented
Language
Python
License
MIT
Origin
Original repository
Repository status
Not archived
Created
2026-03-18
Last code update
2026-09-24
GitHub stars
425
Evidence checked
Sep 30, 2026
Metadata checked
Sep 29, 2026
Check status
Up to date

Stars measure the whole repository, including work unrelated to Jev.

Evidence and scope

Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.

Evidence commit: 76b7dc5f1266552654aee3b7e72dda101b206973

Discovered through: typesafe-field-guide.

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