A context harness for AI agents: all your scattered context — code, memory, docs, databases, SaaS — in one searchable, browsable, file-like interface.
安装
npx skills add zilliztech/mfsgh skill install zilliztech/mfsgit clone --depth 1 https://github.com/zilliztech/mfs合集内的技能
- Deep ResearchZillizAnswer a broad, open-ended, or multi-part question by iteratively searching MFS-indexed sources, following up on gaps, and synthesizing a cited report — the same "reason and search over private data" job zilliztech/deep-searcher does, but as a skill on top of `mfs-find` instead of a standalone framework.
- Mfs FindZillizSearch, grep, browse, and read across registered MFS data sources via the `mfs` CLI — codebases, docs, PDFs, web crawls, databases (postgres/mysql/mongo/snowflake/bigquery), issue trackers (jira/linear/github), CRMs (hubspot), chat (slack/discord/gmail/feishu), object stores (s3/gdrive).
- Mfs IngestZillizRegister, update, or re-sync data sources for MFS so they become searchable — postgres / mysql / mongo / snowflake / bigquery, github / jira / linear / notion / hubspot / zendesk, slack / discord / gmail / feishu, s3 / gdrive / web / file.
- Open Tag AdminZillizAdmin/control console for an Open Tag Slack tag-in workflow backed by MFS. Use to set up a new Open Tag bot from scratch, check what is currently running (backend, permitted MFS scopes, Slack channel), change settings, add or remove data sources, switch the CLI agent backend (claude -p / codex exec), invite or move the bot in Slack, run preflight checks, and troubleshoot thread context…