What AiAkiv is

AiAkiv is an outside service that remembers relationships, not a file locker, but a long-term memory for AI that records what happened and why.

In one sentence

AiAkiv is long-term memory for AI. It stores conversations, documents, and code as events, keeping the time and the context alongside them, so that later an AI can retrace when and why things ended up the way they are.

Why it's needed: the limits of a prompt

An LLM can only take in what fits in the prompt. The prompt is the AI's short-term memory, and its limit is the limit of what the AI can remember. When the session ends, the context is gone.

The usual ways of patching that each hit a wall.

  • RAG (vector search) fetches related fragments, but loses the relationships and the flow between them.
  • GraphRAG captures structure, but only as a snapshot of one moment: it can't express how a relationship changed over time.
  • Very large context re-uploads everything every time. Memory isn't accumulating; you're brute-forcing it with scale, and paying in cost and latency.

The core idea: events come first

Conventional systems declare relationships up front: "A is friends with B." AiAkiv records an event: "A and B both attended the March meeting." The relationship falls out of the events on its own.

That one difference buys two things.

  • Change is traceable. When and how a relationship shifted is queryable along a timeline. You know not just how things are now, but why they got that way.
  • It doesn't care about the domain. Fiction, code, legal work, the same engine.

AiAkiv earns its place on the questions where keyword search fails structurally: "which past decision caused this bug?", "why did these two systems change together?" The mechanics are in Core concepts.

Who gets the most out of it

  • Working as a group. The payoff is largest when several people and several AIs build the memory together. Who decided what, and when, collects into one graph. (Used solo, the benefit is smaller.)
  • Working with several AIs. One AI implements, another reviews, and both judgments stay in the graph, so you sit inside the process rather than outside a black box → Working with several AIs.
  • Long projects. People rotate off, but the record of why this was designed this way stays.
  • Long-form fiction. Hundreds of chapters of character relationships and worldbuilding stay consistent for the AI.

What it stores: not a file locker

This is what newcomers most often get wrong, so let's be exact.

  • AiAkiv remembers what happened and why. Decisions, events, and the relationships between them are what get stored. It is not a place to pile whole documents the way you'd upload files to a cloud drive. The value comes from the graph the events form, not from the stack of files.
  • So what you put in is different. Not the original company document, but the context: why this decision was made, which past decision this bug came out of. Memories, not files.
  • AiAkiv is an outside service. The console is app.aiakiv.com; the public site is www.aiakiv.com. What you store here lives on servers outside your company and stays searchable. That fact leads straight into what you must not store: no company secrets, no personal data. → What to store.

In one line: AiAkiv is an outside service that remembers relationships, not a locker you hand your files to.

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