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Anchor

Correct it once. Every agent knows.

Anchor is the memory your agents share. It holds what your team approved, edited or rejected, and why, so no one has to explain the same thing twice.

No card · 500 free credits · First results in minutes

A rejection becomes a lesson · as in the app

How a lesson travels

  1. 1 · You reviewApprove, edit or rejectand say why if you like: “we don’t sell to agencies”.
  2. 2 · AnchorSaved as a lessonThe decision, the reason and who gave it, in your workspace’s memory.
  3. 3 · Every agentRead before each runLead Prospector skips agencies next time, and so do Outreach Writer and Signal Prospector.

Improvements to an agent are proposed from these lessons and go live only when the department head approves them.

You stay in control

  • You can see everything it learned

    The Memory page lists each agent’s lessons with what was approved, edited or rejected, and the reason given. You can search it.

  • It stays in your workspace

    Each workspace’s memory is kept separate. It is never used to train AI models or shared with other customers.

  • Changes need approval

    Improvements to an agent are proposed from your reviews and go live only when the department head approves them.

  • You can turn it off

    With memory off, agents keep nothing between runs.

Part of one platform

Anchor is the memory layer of Formulate. The agents that use it are AgentOS, and both run on Nyas.

Your AI team, ready today.

No card · 500 free credits · First results in minutes

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