malevrigns/agent-jev is the repository that released AgentJev-0.6B, a small model that takes on judgment alone within an agent loop. The 2026-10-30 commit fbe1bc97c76873d08f0820adf0dead55e95d5fc6 is a documentation change that touched only the English README. The README made it clear that the model is to be used as a decision-making service not bound to any framework when an agent loop needs a gate, routing, or score decisions, and that integration is done via an HTTP API or a Python client.
This model does not write sentences. If you feed in state such as a diff, trace, or log along with a question that has already been prepared, it returns a probability distribution for each option in a single forward pass, and the number of decoded output tokens is 0. The repository description states that this forward pass takes about 50ms. The Claude Code hook is presented only as one of the integration examples, and notes on running the server remain in jev_service/README.md. The base model is Qwen3-0.6B, the weights are on Hugging Face, and the license is Apache-2.0. This commit changed only the README.md file, with 1 addition and 6 deletions, removing the Chinese (简体中文) badge link at the top and the Linux.Do link in the Community section at the bottom.
Since this change is documentation cleanup, the code paths and performance figures remain unchanged. The '23 tests passed, 1 failed' case cited in the README's demo video description is an example made by the repository itself, not an independent evaluation, and no data on probability calibration accuracy or comparison with other frameworks is presented in this record. What can be confirmed at present is only that the document has made it clear that the integration paths are an HTTP API and a Python client, and it is premature to decide whether to trust this description and attach it to an actual agent.