Milvus 开源了 MFS，能把代码、Slack、文档、数据库等不同来源统一成一个文件系统，Agent 和开发者可以轻松搜索和浏览。
Milvus 开源了 MFS (Multi-source File-like Search)，一个可将代码仓库、Slack 线程、设计文档、Jira 问题、CRM 笔记和数据库行等来源统一为文件式命名空间并生成稳定 URI 的工具。它通过连接器将数据注入 mfs-server，利用队列、缓存、元数据和索引实现搜索和浏览。Agent 可通过 CLI、Python/TypeScript SDK 或两个内置技能（mfs-ingest 和 mfs-find）使用，mfs-find 支持 tree、ls、cat 等命令浏览原始来源。该工具旨在为 Agent 提供统一上下文层，整合内存、技能、文档、消息、问题、PR、邮件、客户记录和表格。
MFS 03: https://t.co/ksYX81kOHA
MFS 03: x.com/milvusio/statu… Milvus @milvusio 𝗪𝗲 𝗼𝗽𝗲𝗻-𝘀𝗼𝘂𝗿𝗰𝗲𝗱 𝗠𝗙𝗦 (𝗠𝘂𝗹𝘁𝗶-𝘀𝗼𝘂𝗿𝗰𝗲 𝗙𝗶𝗹𝗲-𝗹𝗶𝗸𝗲 𝗦𝗲𝗮𝗿𝗰𝗵), a tool that can turn a repo, a Slack thread, a design doc, a Jira issue, a CRM note, or a database row those sources into one file-like namespace with stable URIs. Connectors feed data into mfs-server, where queue, cache, metadata, and index keep the sources searchable and browsable. Agents can use it through the CLI, Python/TypeScript SDKs, or two skills: • mfs-ingest registers sources, syncs updates, builds indexes, and helps inspect connectors. • mfs-find searches across what has been ingested, then browses into the original source with commands like tree, ls, cat, head, and tail. The architecture is straightforward: locate semantically, then verify progressively. For agents, that means memory, skills, docs, messages, issues, PRs, emails, customer records, and tables can live in one context layer instead of github.com/zilliztech/mfs ate tools. Repo: https://t.co/RJI5lMigrE 🔗 View Quoted Tweet 💬 0 🔄 0 ❤️ 0 👀 8 ⚡