In development Design partner program

The flight recorder for what your AI agents know.

See which fact every agent used, who planted it, and fix it everywhere.

Sample record 2026-11-10 14:02 · fact v3 “Refund limit €500” → read by support agent for case 1847 → refund issued

01 / The problem

When a fact goes wrong, where do you look?

Many vendors, many memories

ChatGPT, Claude, Copilot and in-house agents can each keep their own memory. A fact stored in one may be invisible to the others.

Memory can be poisoned

A single planted instruction can steer an assistant’s answers long after the original conversation.

No trail when it goes wrong

When an agent acts on a bad fact, teams can struggle to tell which version it used or who else read it.

In February 2026, Microsoft reported attempts by 31 companies across 14 industries to plant promotional instructions in AI assistants’ memory. Microsoft Security Blog

02 / How it works

One record across vendors.

DataBee is designed to sit between your agents and the memory they use. It records each read and write that passes through it.

  1. Agents

    ChatGPT, Claude, Copilot and in-house agents.

  2. DataBee

    Records which fact changed, where it came from and which agents read it.

  3. Any memory

    Mem0, Zep, a vector database or DataBee’s own store.

03 / Illustrative incident

One wrong fact, six steps.

Follow a bad refund limit from the moment it enters memory to the evidence an auditor can check.

  1. Planted

    An unapproved note raises the refund limit from €50 to €500.

    13:58 · WRITE v3
  2. Sourced

    The log ties the change to the note and the agent that saved it.

    13:58 · SOURCE
  3. Read

    The support agent reads the €500 limit for case 1847.

    14:02 · READ v3
  4. Acted

    The case record shows a refund issued using that version.

    14:02 · REFUND
  5. Recalled

    A reviewer withdraws v3 and restores €50 for every connected agent.

    14:11 · RECALL v3
  6. Proven

    An auditor verifies the signed record of the incident and correction.

    14:18 · VERIFY
Sample correction 2026-11-10 14:11 · fact v3 recalled → “Refund limit €50” restored → earlier reads retained

04 / Design requirements

Built for the people who answer for incidents.

We’re building DataBee with security and compliance teams in regulated industries.

Runs in your environment
Keep deployment and audit records inside your organization’s boundary.
Signed, tamper-evident log
Give reviewers a way to detect changes to the audit record.
Offline verification
Give auditors an open-source verifier they can run without a connection to DataBee.
Works with the assistants you already bought
Keep your existing assistants and memory stores.

05 / Independence

Neutral by design.

DataBee sells no agents, models or memory. It can audit the tools you choose, and its own store is optional.

Our mission

Every fact an AI agent acts on should be traceable, correctable and provable.

06 / Design partners

We’re working with a small group of design partners.

If your team investigates AI incidents or has to explain them to an auditor, we’d like to hear how you work today.

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