LangChain的Deep Agents现在用MongoDB做虚拟文件系统，代码不用改就能实现持久化存储。
Deep Agents的虚拟文件系统现在支持MongoDB Atlas。该实现遵循BackendProtocol，允许开发者使用read/write/glob/grep等操作。通过Atlas提供向量搜索、全文搜索和混合搜索功能，文件读写直接转发至S3。该系统支持长时间运行或多代理工作流，使计划、中间输出和知识工件在会话、部署和子代理交接之间持久化。
Agent workspaces should be durable, inspectable, and swappable Deep Agents’ virtual file system is ...
Agent workspaces should be durable, inspectable, and swappable Deep Agents’ virtual file system is intentionally behind a BackendProtocol, so the agent code can keep using read/write/glob/grep while teams choose the storage layer that fits production Nice to see MongoDB support this! MongoDB @MongoDB MongoDB now powers the virtual file system behind @LangChain 's Deep Agents. 🚀 This new integration lets you implement Deep Agents' BackendProtocol against MongoDB Atlas instead of building your own storage layer. And agent code calling read_file, write, glob, and grep don’t have to change. Your retrieval and storage run through one backend instead of a maze of stitched-together tools. Vector, full-text, and hybrid search (via $rankFusion) route through Atlas; file reads and writes forward directly to S3. For builders of long-running or multi-agent workflows: Plans, intermediate outputs, and knowledge artifacts persist across sessions, deployments, and sub-agent handoffs, so file-based context survives between runs instead of resetting each time. 🔗 View Quoted Tweet 💬 2 🔄 2 ❤️ 14 👀 1619 📊 4 ⚡