构建企业代码智能体的共享记忆系统，自动捕获开发经验。
Shared Organizational Memory for Enterprise Coding Agents: System Design and Deployment Snapshot
- 将经验捕获嵌入编码流程，需开发者确认后生成问答记忆。
- 系统自动过滤安全隐私风险，已部署于生产环境。
- 适合需要知识复用的企业级研发团队使用。
企业代码智能体依赖工具与检索，但企业知识常不在公开训练数据或正式文档中：如内部领域语言、专有平台、本地规范、近期修复和隐性工作流。现有知识接口虽能展示资源，但仍需智能体主动识别并记录可复用的经验，导致知识捕获与编码流程脱节，开发经验反复重造。本文报告一项正在进行的生产部署，构建了共享组织记忆系统，使经验捕获成为编码平台的底层环节：系统收集任务相关经验（经贡献者确认），将其整理为可复用的问答记忆，拦截明显安全与隐私风险，并在后续任务中检索调用。本文描述该系统的部署生命周期及运行快照。检索效果与编码任务影响仍在评估中。
原文摘要 · Abstract (English)
Enterprise coding agents rely on tools and retrieval, yet enterprise knowledge often remains outside public training data and formal documentation: internal DSLs, proprietary platforms, local conventions, recent fixes, and tacit workflows. Existing knowledge interfaces expose stored resources but still depend on agents recognizing and explicitly recording lessons worth reusing, disconnecting capture from the coding workflow and leaving development experience repeatedly rediscovered. We report an ongoing production deployment of a shared organizational memory system that makes capture a platform-level part of coding work: it collects task-adjacent experience with contributor approval, curates it into reusable question-answer memories, gates obvious security and privacy risks, and retrieves memories for future agents. This short paper describes the deployed lifecycle and an operational snapshot. Effects on retrieval and coding tasks remain under evaluation.
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