Agentwo · say it "Agent 2"

Boost your AI work with real memory.

Context-aware memory for any agentic use case, with any LLM, online or local. AgenTwo keeps the memory separate from the model: swap the LLM whenever you like and everything it has learned stays yours, sovereign and secure.

▪ ▪ ▪agent2 :: console
agent2:~$ help# agent2 console - available commandshelp        show this listabout       what AgenTwo ismemory      the two memories (online / local)services    what you can hand to AgenTwoplatform    the platform pagessuite       the L1-L5 memory workflowpricing     how engagements are pricedcontact     start an engagementtheme       toggle dark / lightboot        replay the boot sequenceclear       clear this output

Every agent forgets. We fix that.

Point an AI agent at your business today and you inherit four problems:

  • Context lost between sessions
  • Knowledge locked inside one vendor's model
  • Briefing that starts from zero, every time
  • Sensitive data sent where it should not go

AgenTwo is what allows any agent to be empowered with a proper, context-aware memory, kept separate from the LLM. Online it is encrypted and anchored to Bitcoin. Local it lives in your own database or knowledge vault. Either way it is yours: permanent, portable and private.

One AGENT Memory. Two ways to keep it.

AgenTwo enhances an agent's memory two ways. In both, the memory is kept separate from the LLM.

online

Permanent immutable memory on Bitcoin

Encrypted memory anchored to the BSV blockchain: permanent, immutable and yours. What goes on-chain is encrypted data and fingerprints, never your plaintext. BSV's Teranode software is designed to handle over a million transactions a second with fees typically under a cent, so a working memory can afford to write often. Built to switch between frontier LLMs or local models without losing a thing.

local

Local memory in your own knowledge vault

Local memory in your own database or knowledge vault, Obsidian and similar, connected to any agentic LLM. Point it at online frontier models when you want reach, or stay fully private with local-only sovereign models for sensitive applications. Nothing leaves your infrastructure unless you say so.

Built toward one end goal: context-aware applications.

What a proper memory unlocks.

A

Learn from what you have

Have existing LLMs learn from the datasets you already own: pre-loaded libraries, knowledge vaults and notes. Your accumulated knowledge becomes the agent's working context.

B

Organised for ultra-fast recall

Where required, AgenTwo methodically organises uploaded files and datasets according to a context-aware methodology, built for ultra-fast recall: the right piece of knowledge surfaces instead of being re-read from scratch.

C

Hot-swappable models

Swap the base LLM while retaining your custom IP knowledge libraries: sovereign, secure automation of specific task applications for proprietary-aware businesses and companies.

The outcome: memory-backed agents that do the boring stuff.

AGENT Memory is the foundation. The result is automation you can hand a piece of your business to: scoped in writing, run by agents that remember how your business works and governed from day one.

  • workflow-automation/ One governed workflow, wired to the tools you already use.
  • secure-agent-integration/ A secure AI agent with governed, least-privilege system access.
  • assistant-bot/ Always-on assistant on hardened infra for routine admin.
  • social-media-support/ Keeps on top of the channels your customers actually use.
  • level1-chat-assistant/ Triages inbound questions, answers routine ones, escalates the rest.
  • ticket-workflow/ Routes, tags and escalates support so nothing sits unanswered.

Infrastructure, not experiments.

AGENT Memory plus three building blocks behind every engagement.

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/

Security built in. Not bolted on.

Governed by default

AgenTwo evolved from payment fraud, cybersec and digital risk infrastructure. Every deployment includes governance, monitoring and future-ready compliance controls.

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 so you can see what ran and why.

  • environment isolation
  • activity logging
  • policy control
  • access management
  • secure credentials
  • RBAC
  • breach detection
  • CVE monitoring
  • patch management
  • anomaly watch

Tools you already own

Computer-use agents do not need custom APIs. They use your computer the way a person does, logging into the platforms, systems and products you already run to get the work done while you sleep.

  • xero
  • stripe
  • gmail
  • google workspace
  • hubspot
  • slack
  • wordpress
  • n8n

Trademarks belong to their owners. Agentwo integrates with these tools and is not endorsed by them.

browse tasks and connectors

How an engagement works.

Contact us from the first email. No discovery calls required unless you want one.

  1. STEP 01

    Enquire

    Tell us what you want to automate. We reply within one business day with a written quote or a single clarifying question. No sales calls unless you ask for one.

  2. STEP 02

    Scope and pay

    Your enquiry is matched to a Labs plan or an Automation Sprint and priced on application. Accept the written quote and you receive a secure Stripe link for your engagement.

  3. STEP 03

    Intake

    Straight after payment you land on our welcome page: workflow details plus a ten-minute, least-privilege access checklist.

  4. STEP 04

    Build and run

    Discovery starts within one business day of payment. Sprints run a fixed 10-business-day playbook with a written runbook on handover. Labs keeps it running with maintenance, tuning and small changes.

Why AGENT ][ is special. One horizontal loop.

AgenTwo sits between any model and your work. The model is a socket. Inside the green band is what AGENT ][ actually delivers: your data loop, the Uplinkd core skills, and local housekeeping that keeps the fileset neat. What comes back is only the updates you need. Always your data.

  1. L1

    Any LLM

    Frontier models, OpenRouter beta testers, Cross-combined token saving, or local sovereignty. Models do the work. They are not the memory.

  2. AgenTwo delivers

    1. L2

      Your Data

      Contextual loop across data libraries: on-chain encrypted on the bitcoin network (BSV), or kept local on your own hardware.

    2. L3

      Core Skills

      Development, Design, Data, Security, On-Chain Proof, and more all reading and writing your exact defined memory context.

    3. L4

      Housekeeping

      Deterministic clean, dedupe and organised. No API tokens for hygiene. Semantic distill stays optional: a tiny host call, or a local LLM when you want zero API spend.

  3. L5

    Always Context Aware

    Only the deltas land in the datastore. Next session starts with your context aware memory ready. Even on a different model.

Suite surfaces: themetanker uxplate radhr captns darksub +Your Own Skills

Tokens where they earn their keep. Hygiene stays local.

A frontier host (Claude Code, Cursor, and similar) still spends tokens on the work itself. That is expected. What AgenTwo keeps off the meter is the housekeeping: hash, dedupe, declutter and organise run as a deterministic local engine. Semantic distill is a separate choice: a short host call, or a local LLM on your machine when you want that step with zero API spend. Memory then keeps future briefings short, so you do not pay to re-explain everything every session.

Suite + stack, not a silo

AgenTwo is the memory backbone the Uplinkd core skills call on. Design systems, colour standards, security scanning, verifiable on-chain proof and data hygiene all share one loop. It is not a suite skill card. It is what makes the suite remember.

AgenTwo is not one of the Uplinkd upskills. It is the memory backbone that up: commands call on, built by the same group. Local LLM runtimes (Ollama and similar) are bring-your-own for data sovereignty.

Three packages. Priced on application.

We take on a small number of clients at a time and pick engagements where automation genuinely pays off. Every engagement is quoted in writing before any work starts.

Labs Starter

POA priced on application

A running automation subscription covering one workstream.

  • One workstream under management
  • Maintenance, tuning and small changes included
  • Cancel any time, effective end of period
View plan →

Automation Sprint

POA priced on application

A fixed-scope build of one workflow over 10 business days.

  • One workflow, fixed scope
  • Written runbook on handover
  • 14-day bug-fix window
View plan →

Packages are priced on application and quoted in USD. New capability beyond your chosen scope is scoped and quoted in writing before any work starts. Full inclusions on the pricing page.

Give your agents a memory. Hand off the boring stuff.

Contact us and we reply within one business day. Every engagement is scoped and quoted in writing before any work starts. No sales calls unless you ask for one.