Jev project · Routing & Cost Optimization
vexjoy-agent
notque/vexjoy-agent
An optional Jev routing path that matches VexJoy requests to specialist Agents, skills and workflows.
- GitHub stars
- 423 as of 2026-09-22
- Forks
- 46
- Language
- Python
- License
- MIT
- Created
- 2026-03-18
- Last updated on GitHub
- 2026-09-25

Built by this developer
notqueWhat Jev does in vexjoy-agent
After deterministic routing guards, Jev judges the remaining candidates and required workflow components.
Verification
Verified. We confirmed this repository through the GitHub API and located the code that calls Jev at a pinned commit: view the Jev code ↗. Upstream code changes over time, so check that the file still exists at the current commit before citing it.
Topics
- ai
- ai-agents
- ai-pipelines
- ai-skills
- ai-workflows
- claude
- claude-ai
- claude-code
- claude-code-skill
- claude-skills
- codex-skills
- developer-tools
- factory-ai
How Routing & Cost Optimization projects use Jev
Routers that use Jev to classify a task before choosing which model, agent or effort level should handle it. Routing is one of the clearest early wins for Jev because it is cheap, frequent and easy to check.
Related Jev projects in Routing & Cost Optimization
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TypeScript - atomicbastani-inc/atomicAn optional Jev decision backend in the Atomic coding Agent for bounded structured choices such as routing.★ 814
TypeScript - pi-model-routeralexei-led/pi-model-routerPi extension for model and reasoning-effort routing with optional, privacy-gated Jev advice.★ 6
TypeScript - jev-codex-hermesAnhAnAsian/jev-codex-hermesExperimental macOS adapter using Jev to select models and reasoning effort for Codex and first-party Hermes.★ 1
JavaScript - jev-researchsherajdev/jev-researchA Jev and Herdr integration guide with a prototype for routing tasks to different Agents.★ 1
TypeScript - hermes-adaptive-effortatostivint/hermes-adaptive-effortOpt-in Hermes plugin using Jev to choose reasoning effort while retaining the conversation model.★ 0
Python