Agentic AI operating system

Agents that
run the work.

QUAN 2.0 is a team of specialized AI agents with persistent memory, real tools, and approval-gated actions, working across chat, desktop, and your inbox. Not a chatbot. An operator.

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  • Persistent memory
  • Multi-agent teams
  • Human-approved actions
Capabilities

Everything an operator needs,
in one system.

QUAN pairs reasoning with real-world reach. It remembers, plans, uses tools, and asks before anything consequential.

◈

Persistent memory & learning

Typed, editable long-term memory of people, projects, and decisions. It reconciles contradictions and turns outcomes into reusable know-how.

⬡

Multi-agent teams

Specialized agents for sales, support, research, and operations that plan, delegate, and synthesize. A manager and critic keep them honest.

⚙

Real tools & actions

Send email, search the live web, manage a calendar, draft invoices, run code, automate a browser. Dozens of real actions, not just text.

⧉

MCP connectors

Plug in Notion, GitHub, and any Model Context Protocol server. Adding a tool is configuration, not code.

◷

Autonomous workflows

One instruction triggers multi-step execution: plan, act, verify, and self-correct, with a record of every step.

⬢

Omnichannel

The same agents on the web, a native Mac app, Telegram, and iMessage. Pick up the conversation anywhere.

▣

Sandboxed code execution

Writes and runs Python and JavaScript in an isolated sandbox to compute, transform data, and automate whole pipelines.

⌖

Computer use

Drives a real browser to navigate, fill forms, and operate the web apps that have no API at all.

⛨

Security & offensive tooling

Reconnaissance, vulnerability scanning, and purple-team testing, scope-gated and approval-bound.

✦

Self-extension

Writes, installs, and ships its own tools, skills, and connectors at runtime, no release required.

⟲

Reasoning core

Plans, executes, and verifies its own work with a critic before answering, looping until it converges.

▤

Document intelligence

Reads and extracts from PDF, DOCX, XLSX, images, audio, and video, then acts on what it finds.

◆

Designs & builds UI

Ships production-grade, on-brand interfaces with a living design system (DESIGN.md) and the impeccable design engine. Real frontend, not mockups.

⌗

Knowledge & retrieval

Ingests your documents into a private, searchable knowledge base and recalls the right passage on demand.

◐

Voice & transcription

Reads its answers aloud and turns your speech and audio files into text it can act on.

The full stack

Every skill, in one operator.

QUAN 2.0 ships dozens of real capabilities across cognition, action, and governance. This is what it does in the infrastructure today.

Cognition & memory

  • Persistent typed memory you view, edit, and delete
  • Episodic, procedural, and semantic recall with vectors
  • Reflection, skill promotion, contradiction reconciliation
  • World model, goals, plan / execute / verify reasoning
  • Long-context management and summarization

Multi-agent orchestration

  • Specialized agents: general, sales, CMS, research
  • Manager, planner, and critic roles
  • Parallel delegation, synthesis, adversarial verification
  • Shared blackboard; member-owned agents with scoped tools

Research & the live web

  • Multi-engine web search and deep research synthesis
  • Real-time news, markets, and weather
  • Fetch and parse any URL or HTTP endpoint
  • Knowledge base ingestion and retrieval

Real-world actions

  • Email: read, draft, categorize, send
  • Google Calendar: schedule, reschedule, find openings
  • Invoicing and CRM
  • Image generation; Telegram and social posting
  • Document intelligence: PDF, DOCX, XLSX, CSV, images, audio, video

Code & automation

  • Sandboxed Python and JavaScript execution
  • Browser automation and computer use
  • Live package install into the runtime
  • A private SQL database the agents own and query

Build, deploy & self-extend

  • Writes its own tools, skills, and plugins
  • Designs on-brand UI with a built-in design system (DESIGN.md + impeccable)
  • Hosts what it builds: ships sites and apps to a live URL
  • Scheduled and recurring autonomous jobs
  • Self-healing job resilience

Connectors (MCP)

  • Notion and any Model Context Protocol server
  • New tools added by configuration, not code
  • Connector write actions stay approval-gated

Offensive & defensive security

  • Reconnaissance and OSINT footprinting
  • Network and port scanning, service and version detection
  • TLS / SSL hardening tests and web-app vulnerability scanning
  • On-demand install of pentest tooling, run in an isolated sandbox
  • A full purple-team doctrine: offense informs defense
  • Scope-allowlisted and approval-gated; never aimed at its own infra

Operating constitution (.md)

  • SOUL.md identity and character; AGENT.md operating doctrine
  • USER.md the principal; QUAN.md the house manual
  • SECURITY.md and PENTEST.md trust model and security doctrine
  • memory/people, products, deals, compliance: live business knowledge
  • Hot-reloaded and enforced on every channel; editable in-app
High-grade infrastructure

An engine built for serious work.

Capability is the easy part. QUAN 2.0 is engineered so that power stays reliable, governable, and fast.

Models

Multi-model engine

Routes across OpenAI, Anthropic, Gemini, and local models, reaching for the strongest model for each task and never locked to one vendor.

Reasoning

Plans, then verifies

On hard problems it drafts a plan, executes it, then checks its own work and corrects before answering. Background jobs loop until they converge.

Orchestration

A team with a critic

Agents delegate in parallel and synthesize the results, while an adversarial critic reviews the work. A strict budget keeps fan-out from running away.

Governance

A living constitution

Identity, operating doctrine, and business knowledge live in versioned documents, hot-reloaded and enforced on every channel, editable in seconds.

Runtime

Contained by design

Code and browser automation run sandboxed behind an egress firewall; secrets sit in an AES-256 vault the model can name but never read.

Extensibility

Grows itself

QUAN writes and installs its own tools, skills, and connectors at runtime, and speaks MCP, so a new integration is configuration, not a release.

How it works

It thinks, acts, and waits for your call.

Recall

Remembers everything

Every preference, business fact, and past decision is captured in durable memory, and stays yours to view, edit, or delete.

Execute

Plans & acts across tools

It breaks a goal into steps, reaches for the right tools and connectors, and verifies the result before reporting back.

Confirm

You approve what matters

Anything that leaves the building (money, mail, customer records) is staged for one tap. Nothing happens without you.

Everywhere you work

One brain. Every channel.

The full agent stack runs server-side; each surface is just a way in.

▢

Web

A fast, full-featured workspace in the browser.

⌘

Mac app

A native, notarized desktop app that installs warning-free.

✈

Telegram

Message your agents and approve actions on the go.

◌

iMessage

Text QUAN like a colleague, right from Messages.

Built for trust

Powerful by default.
Contained by design.

Capability without the recklessness. The model is treated as untrusted; the guardrails are the product.

  • ⛓
    Hard infrastructure boundaryThe agent can never touch production databases or servers directly.
  • ✔
    Human-in-the-loopEmail, payments, and customer writes are staged for explicit approval.
  • ▣
    Sandboxed executionCode runs isolated, behind an egress firewall, never near your data.
  • ⚿
    Encrypted vaultSecrets are AES-256 encrypted; the model sees names, never values.
  • ▦
    Per-member scopesEvery teammate sees only their own agents and granted tools.
  • ≣
    Full audit trailEvery action the agents take is recorded and reviewable.

Put your operations on autopilot.

Give QUAN 2.0 a goal. Get back finished work, with you in control of every consequential step.

Request access → Explore capabilities