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/platform/overview
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.
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.
Each one has its own page. Together with the memory layer they are the platform.
Pre-configured AI workforce units trained for real business workflows across finance, ops, compliance and growth. Deploy a department, not a chatbot.
agentic-teams/Secure computer-use agents operating inside controlled environments, interacting with authorised systems without fragile API builds.
computer-use-agents/Pre-built tasks and connectors. Activate. Deploy. Integrate. No custom builds required.
tasks-connectors/Pre-configured AI workforce units trained to execute structured business functions.
Governed environments with defined task boundaries.
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