hermes-jev-skills
Jev provides decision-making support for Hermes agents, including model routing, memory management, and skill selection.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 1.0k
- Source
- GitHub
- Added
- 2026-10-04
- Last verified
- 2026-10-04
Overview
Hermes Jev Skills is a tool based on the Jev decision model, designed to offer efficient decision support for Hermes agents (and others like Claude Code and Codex). It handles tasks such as model selection, skill loading, and retrieval result filtering in a low-cost, fast-response manner, allowing expensive large models to focus on text generation. Users can install and configure this tool with simple commands, enhancing agent efficiency across various scenarios. Ideal for developers looking to optimize resource usage and improve agent performance.
Key features
- ▪Low-cost, high-efficiency decision-making
- ▪Supports multiple agent platforms
- ▪Easy installation and configuration
- ▪Covers multiple decision domains
Use cases
Pros
- +Significantly reduces computational costs
- +Improves agent response speed
- +Good cross-platform compatibility
- +Comprehensive documentation support
Limitations / notes
- -Requires internet connectivity
- -Higher learning curve
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
Is it free?
Yes, the project is open-source and free.
Does it support Chinese?
Main documentation and interface are in English, but it can process Chinese content.
Can it be used commercially?
Yes, the project uses an open-source license that allows commercial use.
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