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Memory and understanding are different jobs.

A memory layer helps an agent recall what was said. Understanding keeps track of what is still true, who said it, what changed, and what each agent is allowed to see. Both are useful. They answer different questions.

What memory layers do well.

The field is strong and moving fast. This is how the best-known tools describe themselves, in their own papers and docs, checked on 30 September 2026.

  • mem0

    Extracts salient facts from conversations. For each new fact, a language model chooses to add it, update an existing memory, delete one it contradicts, or do nothing. A graph variant links entities.

    Mem0 paper, arXiv 2504.19413
  • OpenMemory MCP (by mem0)

    A local memory server that runs on your machine and plugs into MCP clients such as Claude Desktop and Cursor. Agents add and search memories through its tools.

    mem0 blog: Introducing OpenMemory MCP
  • Zep (Graphiti)

    A temporal context graph for developers building agents. Facts carry validity windows, are invalidated rather than deleted, can be queried as of any point in time, and trace back to the raw data that produced them.

    Graphiti on GitHub
  • Letta

    Agents keep memory in blocks that they edit themselves through memory tools. Blocks can be shared between agents, and all state persists in a database.

    Letta docs: agent memory
  • Supermemory

    A memory API for developers that turns conversations, documents, files, URLs and connector data into extracted facts and per-user profiles, with plugins and MCP for Claude and coding agents.

    Supermemory docs

If you are building your own agent and want it to remember its users, these are good choices, and some of them are ahead of us in places. Graphiti’s point-in-time queries, for example, are more complete than what Team0 exposes today.

What understanding adds.

Team0 is built for a different situation: a company whose people use many agents, with a brain for each person and one for the company, and work that keeps changing underneath them.

  1. 01

    It is built from your work, not from what agents are told

    Email, calendar, meetings, documents and the work tools you connect. It arrives already knowing your people and your week, without you writing anything down.

  2. 02

    It knows who said it

    Every statement records its source, the exact supporting passage, and whose view it is: yours, someone else’s, or unclear. A stranger’s urgent email never becomes your priority or your instruction.

  3. 03

    Believed, heard and unconfirmed are kept apart

    Statements are trusted, evidence or candidate, and the lanes cannot mix. An agent’s own words are kept as evidence under its name, never believed automatically.

  4. 04

    A request is not a promise

    A customer asking for June is recorded as a request. Only an agreement makes it a commitment. Something heard stays heard until it is confirmed, and silence never proves a task was done.

  5. 05

    One person, one record

    The same email address is the same person across every source. A similar name never merges on its own, a pair you reject is never merged, and every merge can be undone.

  6. 06

    Changes are kept, not overwritten

    A newer statement replaces an older one, and the older one stays in history with what changed it. A correction you make once reaches every agent.

  7. 07

    Each agent sees only what you allow

    Every agent has its own grant. Its access is applied inside the query, so what it may not see is never retrieved, rather than retrieved and hidden.

  8. 08

    Every read is kept

    The exact request an agent made and what Team0 returned are recorded, so you can see what each agent was told.

The short version

Memory stores what was said. Understanding keeps track of what is still true, and shares it with every agent you use.

Side by side.

A typical memory layerTeam0
What fills itWhat agents and conversations send it, plus any data a developer connectsYour connected work: email, calendar, meetings, documents and work tools
UnitExtracted memories or facts, sometimes a graphTyped statements about people, companies and projects, each with its source and whose view it is
When things changeUpdated, replaced or deleted; some keep validity windowsReplaced with the older statement kept in history, and the reason recorded
Hearsay and guessesUsually stored alongside everything elseKept in separate lanes that never become belief on their own
Who it servesOne app, or the agents that write to itEvery agent your people connect, each with its own access, plus a company brain that holds what people choose to share, labelled with who shared it

The left column is a generalisation. Individual products differ, and the section above describes each in its own words.

Keep reading.

  • OverviewThe World Model
  • ArchitectureFollow one fact from email to every agent
  • Data modelStatements, three clocks, belief lanes
  • Entity resolutionOne person, one record, carefully
  • Truth maintenanceHow beliefs are retired, never silently overwritten
  • Trust and scopeWho said it, who may see it
  • Understanding EngineFrom graph to a read an agent can use
  • Markdown vs Team0Where notes files stop, and what keeps them current
  • ComparisonsHow Team0 differs from memory layers
  • The 31 problemsEverything you have to solve, in one list

Your agents will change. Your company’s brain shouldn’t.

Book a callSee how the World Model is built→

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