platform/overview

AGENT Memory, then everything it powers.

AgenTwo is AGENT Memory: a context-aware memory layer kept separate from the LLM, wrapped in governed execution. Around it sit the building blocks that put that memory to work on your business.

The architecture: memory first.

You pick the piece of your business to automate. The platform supplies the memory and the unit that runs it.

At the centre is the memory layer: encrypted memory anchored to Bitcoin (BSV) online, or local memory in your own database or knowledge vault. It is kept separate from the model layer, so the base LLM is hot-swappable: frontier models when you want reach, local sovereign models when the data must stay home.

Around AGENT Memory sit the same three building blocks on every engagement: a pre-configured agentic team, secure computer-use agents and the pre-built tasks and connectors that wire the work to the tools you already use.

Each engagement is scoped to a defined workflow. Access is limited to the tools that workflow needs, permissions are agreed up front and every action is logged. Governance, monitoring and future-ready compliance controls are part of every deployment, not an add-on.

Select the team. Activate infrastructure. Go live. No custom build. No long implementation cycles.

Three building blocks around AGENT Memory.

Each one has its own page. Together with the memory layer they are the platform.

Agentic teams

Pre-configured AI workforce units trained for real business workflows across finance, ops, compliance and growth. Deploy a department, not a chatbot.

agentic-teams/

Computer-use agents

Secure computer-use agents operating inside controlled environments, interacting with authorised systems without fragile API builds.

computer-use-agents/

Tasks and connectors

Pre-built tasks and connectors. Activate. Deploy. Integrate. No custom builds required.

tasks-connectors/

Virtual agentic teams.

Pre-configured AI workforce units trained to execute structured business functions.

What a deployed unit executes

  • Invoice reconciliation
  • Reporting and dashboards
  • Workflow automation
  • Data monitoring

What every unit includes

  • A defined business function
  • A dedicated AI Team Leader you communicate with
  • A worker pod of 3 to 6 computer-use agents
  • Pre-built tasks and connectors
  • Structured governance controls
see how teams are structured

AISEC

Governed environments with defined task boundaries.

  • environment isolation
  • activity logging
  • defined permissions
  • policy control
  • secure outbound actions
how execution stays governed

See how it works on your workflows.

Contact us and we reply within one business day. No sales calls unless you ask for one.