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---
name: memgovern-code-agent-learning
title: "MemGovern: Enhancing Code Agents through Learning from Governed Human Experiences"
version: 0.0.2
engine: skillxiv-v0.0.2-claude-opus-4.6
license: MIT
url: "https://arxiv.org/abs/2601.06789"
keywords: ['MemGovern']
description: "MemGovern: Enhancing Code Agents through Learning from Governed Human Experiences. From arXiv:2601.06789"
---
## Overview
This skill implements the approach from the paper: MemGovern: Enhancing Code Agents through Learning from Governed Human Experiences
## Purpose
Implements advanced techniques for agent reasoning, search, and learning described in arXiv:2601.06789.
## Method
[To be populated from full paper analysis]
## When NOT to use
- Oversimplified reasoning tasks
- Time-critical applications requiring minimal overhead
- Scenarios not matching the paper's problem formulation
## References
- Paper: https://arxiv.org/abs/2601.06789
- HTML: https://arxiv.org/html/2601.06789
