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I built a persistent workspace for an AI coding agent — here's what I learned

I've been experimenting with AI coding agents, but I kept running into the same question: What happens when the agent doesn't start from a blank environment every time? So I built a small persistent workspace for Hermes Agent . The idea was pretty simple: instead of giving the agent a fresh project for every session, I gave it a workspace with: Existing files and project structure A Git repository Notes and task files Python project files Tests A place where changes cou

五维评分

付费意愿
20
需求真实度
40
个人可落地
90
竞争空间
35
新鲜度
60

AI 分析

痛点:AI 编码代理每次会话都从空白环境开始,无法延续之前的项目文件、Git 状态和任务笔记,导致重复劳动和上下文丢失。

目标用户:使用 AI 编程代理(如 Cursor、Claude Code、Aider 等)的开发者、独立开发者和技术小团队。

证据:What happens when the agent doesn't start from a blank environment every time? It could see the files and Git state from the previous session and make another change instead of starting over. persistence changes the role of the agent.

变现:订阅制 SaaS,提供持久化工作区/记忆层,按项目数或开发者席位收费;或开源核心+云托管付费。

MVP:2 周内做一个 CLI 或 IDE 插件,为 AI 编码代理自动保存项目结构、Git 状态和任务笔记,并在新会话中注入上下文,支持继续之前的工作。

竞品:Cursor、Claude Code、Aider、Cline、Mem0、Letta

摘要:作者为 Hermes Agent 构建了一个持久化工作区,让代理在会话间保留文件、Git 状态和任务笔记,从而能继续之前的工作。作者认为持久化改变了代理的角色,从生成代码变为接续项目。帖中未提及付费意愿或收入数据。