Your models are rented. Your organisational memory should not be.
Adja gives AI agents continuity between sessions. Decisions, relationships, corrections and working context remain available even when the model, agent or interface changes. It is what Splide's own agents remember with.
Starting over is not intelligence
An agent can reason brilliantly and still be useless next week if it has forgotten what was decided today.
The common workaround is to paste a summary into every new session. That survives briefly. Then the summary becomes a document nobody can keep current, every fact receives the same weight, and the agent still cannot tell which old decision matters to the question in front of it.
Adja treats memory as its own system. The model can be replaced. The interface can change. The organisation keeps what it learned.
What changes when an agent can remember
Continuity
Work resumes from decisions and outcomes rather than from another explanation of the project.
Relevance
Recall follows relationships between memories, so useful context can arrive through a connection rather than an exact keyword.
Change
New information does not silently erase the old version. Contradictions are surfaced so the agent knows that something changed.
Portability
Memory is not trapped inside one model provider or one chat product. Adja is provider-agnostic and exposed over MCP.
What it actually does
A graph, not a folder of transcripts
Memories link to each other. Recall begins with the current question and spreads across those links, giving related decisions, people, systems and consequences a chance to become relevant.
It forgets on purpose
Memories carry salience and decay over time. What remains useful becomes easier to reach; what stopped mattering recedes. Without that, a growing memory becomes another archive an agent cannot navigate.
It consolidates
Related memories can be merged instead of accumulating as thousands of near-duplicates. The history remains usable rather than merely large.
It surfaces contradictions
When a new memory conflicts with an old one, Adja exposes the conflict. It does not quietly overwrite history or let retrieval choose whichever version happens to rank first.
It isolates context
Each agent or project can have its own memory boundary, with controlled messaging between them. A fleet can collaborate without turning every agent's history into one undifferentiated store.
It is independent of the model
Adja speaks MCP and is not tied to one provider. Models are replaceable compute. Organisational memory is an owned asset.
We depend on it ourselves
Adja is not a memory demonstration built for this page.
The agents working across Splide use it to retain project history, operational decisions, system relationships and the reasons behind changes. The agent working on this website, the systems work around the network estate and the work behind the resolver all depend on continuity that outlives a single session.
That does not make the agents infallible. It makes their mistakes correctable once, their decisions recoverable and their next session less ignorant than the last.
Why an operations company built memory
Splide is accountable for systems that continue after a project would ordinarily have ended. That work creates knowledge every day: what failed, why a decision was made, which workaround is temporary, what a client means when they use a particular word, and which old assumption is no longer true.
If that knowledge lives only in one person's head or one model's context window, the operation is fragile. Adja exists because continuity is part of operating well.
It also changes what Splide can build. A business system can use agents without pretending every interaction is the first one. An infrastructure agent can understand an estate as a connected history rather than a fresh pile of alerts. Separate agents can hand work over without reducing it to a brittle summary.
When Adja is the right conversation
Adja becomes relevant when an agent is already useful but keeps losing the history that would make it dependable: repeated explanations, re-argued decisions, forgotten corrections, inconsistent answers across agents or knowledge trapped inside one provider.
It is not a replacement for authoritative source systems, permissions or human judgment. It is the continuity layer that lets agents use those things without beginning again every time.
Adja is live at adja.ai.