AiAkiv is long-term memory that AI agents and teammates share over MCP. It saves the important parts of your conversations as a knowledge graph and recalls them across sessions, tools, and teammates — so context one AI saves, the next one picks up, and a whole team works from one shared memory instead of scattered private chats. Save with an explicit command ("ak save"), recall by meaning with semantic search. Hosted remote MCP server with OAuth sign-in; Korean and English supported.
How to use
- 1Add it in ChatGPT
Open AiAkiv Memory in ChatGPT's Plugin directory (button above), select + to add it and sign in if asked.
- 2Use it in a chat
Type @ in the composer and pick AiAkiv Memory, or start your message with its name. ChatGPT may also suggest it when it fits what you ask.
Skills 4
- aiakiv-cards
Create a public AiAkiv card from the user's memory. Use when the user asks to make a card, share a memory as a link/page, publish a summary card, or asks what AiAkiv cards are or how to fix/delete one. A card is a one-page public site (card.aiakiv.com) written by YOU from memory search results and baked by the card service — live on the open web the moment it is created.
- aiakiv-graph-query
Write graph queries (Cypher subset) against AiAkiv/MWeft memory with query_memory_graph (and query_partner_memory_graph across a link). Use when the user asks HOW memories are connected — shared entities, bridges, threads, timelines, multi-hop paths, "similar but structurally related", entity co-occurrence — or when a search hint block contains a `graph_query` example. Not for plain recall (use search_memory).
- aiakiv-links
Read a LINKED partner org's memory through the partner memory tools. Use when the user asks what a partner/linked org/team knows, wants to compare their memory with a partner's, mentions a link or partner org, or when a probe candidate carries side=remote. Covers choosing between search_partner_memory, find_partner_memory_connections and query_partner_memory_graph, reading results, and what each error reason means.
- aiakiv-save-and-recall
How to write a memory that will be found again, and how to read what AiAkiv memory returns. Covers summary and entity spelling rules, what to do when a save is rejected (summary or content too long, a truncation marker, arguments arriving merged or empty), and how to interpret the related-memory signal that search responses carry. Use when saving to AiAkiv memory, when a save call fails or its arguments collapse, or when deciding whether a search result needs a follow-up expansion call.
Things to ask
- “ak save — store a summary of this conversation in my long-term memory”
- “search my memory for what we decided about the pricing model, newest first”
- “what did I save most recently, and under which topic tags?”