Context without re-searching
Open one entry and the memories around it appear automatically, so you follow a thread instead of composing another query.
One memory opens the door to everything connected to it.
Recall is rarely about a single entry in isolation. When you open a conversation, related memory surfaces the neighbouring entries that share its subject matter, so a note about a bug leads to the discussion where it was diagnosed and the decision that resolved it. Instead of searching again from scratch, you follow the thread of context that already surrounds what you are reading.
This adjacency helps connected agents too. Through the vault's related lookup, an MCP client can expand from one relevant hit into the cluster of memories around it, gathering fuller context before it answers. The result is recall that behaves less like a flat search box and more like a knowledge map — every entry becomes a starting point for the wider story it belongs to.
Open one entry and the memories around it appear automatically, so you follow a thread instead of composing another query.
Adjacent entries resurface conversations you would never have thought to search for, bringing back context you had lost track of.
Connected clients can expand from a single match into its neighbourhood of related memory before responding.
Open any entry in the vault.
Review the related memories surfaced alongside it.
Follow the connections outward to reconstruct the surrounding project context.
Let connected MCP clients pull related entries to widen an agent's context.
It surfaces entries adjacent to the one you are viewing based on shared subject matter, so opening a single memory reveals the wider cluster of conversations connected to it.
Yes. A connected MCP client can expand from one relevant entry into its related memories, gathering more of the surrounding context before it responds.
Dashboard view shows a vault summary plus a live activity feed of every read, write, and classification across all connected AI tools. Deep links via `aivault://` open the app from anywhere.
Learn moreEvery entry detail header shows 'Last used X ago by Source · Nx this week' so you know which AI tools are touching a memory and how often.
Learn moreLocal embeddings — via Xenova Transformers (ONNX), llama.cpp (GGUF), or a remote embedding API — so AI clients can recall memories by meaning, not just keywords.
Learn moreStart free, import real conversations, and reuse your memory across every AI agent you already use.