Super Agent · AGI-ONE native · Conversation to execution

AI-ONE
The Super Agent inside AGI-ONE.

AI-ONE is the operational intelligence layer of AGI-ONE. It understands business requests, retrieves enterprise context, activates specialized agents, uses governed tools and data, and turns conversations into executable workflows.

Persistent memory Agent orchestration Governed execution Professional · Business · Enterprise
The real gap

Companies do not need another chatbot.

Most AI assistants answer questions. Enterprise teams need an AI that can act inside a governed operating system: read context, select tools, trigger agents, manage files, update memory, and leave an auditable trail.

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Conversation without execution

Classic chat interfaces stop at the answer. Users still need to translate ideas into tasks, documents, workflows and follow-ups.

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Tool fragmentation

AI tools, documents, files, reports and automation systems are disconnected. The user becomes the integration layer.

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Memory is lost

Project decisions, preferences and context remain scattered across chats, inboxes and documents instead of becoming reusable knowledge.

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No governance layer

Enterprise AI needs identity, policy, audit, cost control and deployment flexibility. These cannot be bolted on after the fact.

What AI-ONE is

The control interface for your AI operating system.

AGI-ONE is the platform. AI-ONE is the Super Agent that makes the platform operational for humans: one conversational interface that coordinates memory, data, agents, tools and communication.

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Traditional chatbot

  • Answers the current prompt, then waits for the next one.
  • Has limited continuity across projects and workflows.
  • Requires users to manually move outputs into tools.
  • Cannot reliably coordinate specialized agents and governed enterprise resources.

AI-ONE Super Agent

  • Understands intent, plans actions and executes through AGI-ONE gateways.
  • Maintains project memory, personal knowledge and document context.
  • Activates vertical agents for research, media, reports, tasks and analysis.
  • Runs inside a governed, auditable and model-agnostic enterprise architecture.
Operating logic

From request to governed action.

AI-ONE turns a natural-language request into an operational sequence. The user speaks in business language; AI-ONE resolves the context, selects the execution path and stores the outcome.

Understand

Detects intent, urgency, domain and expected output from the user request.

Retrieve

Loads relevant memory, documents, project files and platform knowledge.

Plan

Builds the execution path: answer, tool call, agent workflow or multi-step loop.

Orchestrate

Activates the right agents, tools and gateways through AGI-ONE.

Execute

Creates tasks, reports, files, media, messages or structured outputs.

Remember

Updates memory, worklogs and reusable knowledge for future interactions.

Capabilities

One Super Agent. Many operational skills.

The first version of AI-ONE focuses on productivity, memory, project support, document intelligence, media generation, file system operations and agent orchestration.

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Persistent semantic memory

Stores preferences, project facts and reusable knowledge, then retrieves them semantically when they matter.

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Personal document RAG

Uploads and queries PDFs, DOCX, Markdown and text documents through a dedicated retrieval workspace.

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Tool and agent orchestration

Chooses MCP tools and specialized agents, extracts parameters and coordinates execution from natural language.

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File system operations

Browses, reads, creates folders and saves files in the user's governed workspace.

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Task creation and follow-up

Transforms requests into structured tasks, reminders, priorities and channels through Taskettier integration.

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Project assistant mode

Maintains project worklogs, memory files, document folders and contextual project sessions.

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Inline media generation

Generates images, video and audio cards directly in chat, with gallery, download and regeneration flows.

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Multi-channel communication

Sends email, Telegram, Whatsapp and future channel notifications through the Communication Gateway.

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Platform navigation

Guides users across AGI-ONE services, agents and documentation with direct contextual links.

Native to AGI-ONE

AI-ONE is not isolated. It runs through the platform.

Every AI-ONE action is routed through AGI-ONE's operating layer. That is what makes the Super Agent governable, extensible and ready for professional or enterprise use.

AI-ONE
Super Agent
LLM Gateway Agents Gateway MCP / Tools Gateway RAG & Memory Data & File System Communication Gateway
Model-agnostic executionAI-ONE can use cloud models, open-source local models or private enterprise models through the same gateway abstraction.
Governed tool accessActions are not raw integrations. They pass through AGI-ONE's gateways, policies, permissions and observability layer.
Memory and knowledge continuityPersonal memory, project memory, uploaded documents and platform knowledge become part of the execution context.
Upgradeable by designAs new agents, tools and models are added to AGI-ONE, AI-ONE can orchestrate them without changing the user experience.
Use cases

Where AI-ONE creates immediate value.

AI-ONE is designed to scale from personal productivity to professional workflows and enterprise operations.

01

Executive operating assistant

Collects context, prepares summaries, creates reports, tracks decisions and turns management conversations into operational follow-up.

02

Project management companion

Creates project spaces, organizes documents, keeps worklogs and memory updated, and retrieves project context during every session.

03

Professional productivity layer

Helps consultants, creators and professionals produce documents, analysis, summaries, diagrams, audio and structured outputs faster.

04

Enterprise AI adoption interface

Becomes the single entry point for employees to access governed AI workflows, agents, knowledge and tools without learning the whole stack.

Available across versions

Same interface. Different operating depth.

AI-ONE is the common interaction layer across AGI-ONE Professional and Business today, with Enterprise arriving at platform maturity. The available capabilities expand according to the plan, deployment model and governance requirements.

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Professional

For advanced professionals and small teams. Strong agent catalog, project workspaces, document intelligence and productivity automation.

ProfessionalsSmall teamsAdvanced agents
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Business

A governed shared AI workspace for teams: CREIMS, configured workflows, analytics and priority support. The early focus of the beta and design-partner program.

Governed workspaceWorkflowsTeam analytics
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Enterprise

At platform maturity: private deployment, full governance, custom integrations, security controls and the AI Division operating model — available for qualified organizations after Business validation.

At maturityOn-prem / cloudCustom integrations
Trust by architecture

Designed for action, but controlled by policy.

A Super Agent is powerful only if it is governable. AI-ONE is designed to act through AGI-ONE's control plane, not outside it.

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Traceable

Actions, tool usage, outputs and context can be logged and inspected.

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Policy-aware

Access to tools, data and models can be constrained by user, tenant, plan and environment.

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Cost-aware

Model and media usage can be routed, measured and optimized through the LLM Gateway.

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Extensible

New tools, data sources and agents can be connected without changing the user-facing interface.

Open, but governed

Controlled integration of open-source agents

AGI-ONE is open by definition. The platform can integrate best-of-breed open-source agents to leverage the potential of external solutions — but always in a controlled way, inside the AGI-ONE perimeter. They natively use the platform components they need (models, tools, memory, data and communication) while staying within predefined boundaries, policies and audit.

Hermes — Platform operations

Hermes is the open-source agent dedicated to running the platform's operations: runtime and health checks, Docker and service control, governed deployments and multi-target infrastructure (local, VPS HQ / Web / UAT). Every mutation passes through the Ops Gateway with confirmation, policy and audit — never raw SSH or direct service calls.

OperationsRuntime & infraGoverned mutations

OpenClaw — Experimental

OpenClaw is being piloted across several fronts — including security and front-end work — to explore how external open-source agents can extend the platform. It runs inside AGI-ONE's governed environment, using its gateways, memory and LLM routing under an admin profile.

SecurityFront-endPilot

For now, Hermes and OpenClaw are operational agents that support the Admin team only — they are not yet exposed to all platform users.

FAQ

Frequently asked questions.

Is AI-ONE a separate product from AGI-ONE?

No. AGI-ONE is the platform. AI-ONE is the Super Agent inside the platform: the user-facing operational interface that orchestrates AGI-ONE's agents, tools, memory, data and workflows.

Is AI-ONE just a chatbot?

No. A chatbot primarily answers. AI-ONE is designed to act: create tasks, manage files, retrieve documents, update memory, generate media, send communications and coordinate specialized agents through governed execution paths.

Which plans include AI-ONE?

AI-ONE is available across plans, but the depth of capabilities changes by plan. Professional focuses on individual and small-team productivity with strong workflows and agents. Business adds a governed shared workspace, configured workflows and team controls. Enterprise — at platform maturity — adds full governance, deployment flexibility and custom integrations.

Can companies connect AI-ONE to internal systems?

Yes. In Business / Enterprise deployments, AI-ONE can operate through AGI-ONE's gateways and connectors, including tools, data sources, communication channels and enterprise systems according to policy and security requirements.

Early access

Bring AI-ONE into your AGI-ONE workspace.

Request access to test the Super Agent experience across Professional and Business scenarios, with Enterprise arriving at platform maturity.