A persistent memory layer shared across AI agents such as Claude Code, stored as Markdown and searched by semantic recall. It offers skills to recall past sessions, configure memory behavior, and turn past workflows into reusable skills.
@zilliztechA context harness for AI agents: all your scattered context, code, memory, docs, databases, SaaS, in one searchable, browsable, file-like interface.
@zilliztechDiagnose and configure MemSearch memory behavior. Use when the user asks about MemSearch configuration, plugin summarization,…
@zilliztechSearch and recall relevant memories from past sessions via memsearch. Use when the user's question could benefit from historical…
@zilliztechTurn workflows from your MemSearch memory into reusable skills. Use when the user asks to make/create/extract/distill a skill…
@zilliztechSearch, grep, browse, and read across registered MFS data sources via the `mfs` CLI — codebases, docs, PDFs, web crawls,…
@zilliztechRegister, update, or re-sync data sources for MFS so they become searchable — postgres / mysql / mongo / snowflake / bigquery,…
@zilliztechIs this you? Claim your profilePut a plugin at the top of Plugins, from $9
