jev-pruner: Pruning context or memory by task relevance with
You should be able to explain jev-pruner in four sentences: what enters the system, what Jev judges, what code executes, and what independently proves the job finished.
Use caseAdd one narrow, explicit decision to code or a workflow
Focus on jev-pruner’s decision boundary: pruning context or memory by task relevance with an auditable keep/drop trail. From the public repository, separate the problem, where Jev judges, what code still owns, and how to reproduce the smallest safe example. Source walkthrough—not a restated live benchmark.
Source · tamaratran/jev-pruner · Open-source project
What this project does
Section titled “What this project does”Public sources present this project for pruning context or memory by task relevance with an auditable keep/drop trail. This site has not reproduced the full project.
Sources
Section titled “Sources”
GitHub Open Graph preview for the tamaratran/jev-pruner repository; a repository preview, not a screenshot of running software. Notes are based on its public source.
A useful first read
Section titled “A useful first read”Add one narrow, explicit decision to code or a workflow
Based on the public repository; this site has not reproduced the full project. Read the source before deciding whether to try it.