openlayer-ai/jevals
Evaluates AI agent decisions using Jev-style models for cost-effective trace analysis.
- Stars
- 110
- Forks
- 11
- Open issues
- 2
- Last push
- 15d ago
jevals star history
+5 this week
Get jevals running
Can I sell what I build with it?
Yes
A guide, not legal advice.
About jevals
jevals is a free, open-source AI agent tool by openlayer-ai, written mainly in Python. Evaluates AI agent decisions using Jev-style models for cost-effective trace analysis. It has 110 GitHub stars and 11 forks, and was last updated 15d ago. It's released under the MIT license, a standard open-source license. According to the project, it runs on a regular CPU without a GPU and works on macOS.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 110
- Last update
- 15d ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not needed (runs on CPU)
- Paid API key
- Not required
- Self-hostable
- Yes
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jevals FAQ
Can I use jevals commercially?
Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is jevals free?
Yes. jevals is open source and free to use. It's released under the MIT license, a standard open-source license.
Does jevals run on a Mac?
Yes. According to the project, jevals works on macOS.
Does jevals need a GPU?
No. According to the project, jevals runs on a regular CPU.
Is jevals still maintained?
Yes. It was last updated 15d ago and has 2 open issues on GitHub.
How hard is jevals to set up?
Medium: typically about 30 min, using pip. The project's install command is: pip install jevals
What are alternatives to jevals?
Similar free, open-source tools include rea, AutoGPT, mem0, hermes-agent.
Maintain jevals?
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