73 AI agents across 11 departments — from C-Suite to Legal to Creative Studio. Research, create, analyze, scrape, monetize — your virtual company works while you stay in control, with human-in-the-loop approval on every important action.
AI OS is an open-source, self-hosted Virtual Corporate Headquarters with 73 AI agents across 11 departments. It is powered by 6 AI models across 4 routing tiers, including Claude Opus 5, OpenAI GPT, Gemini, DeepSeek, Grok (xAI), and Perplexity. Key features include an SEO + AEO Agency (audits plus AI-answer-engine readiness for ChatGPT, Perplexity, and Google AI Overviews), an AI Web Studio that designs, builds, and hosts sites — with sales funnels, dynamic pages, lead-capture forms feeding a built-in CRM, and a per-site business dashboard — a Knowledge & Records governed document library, first-party analytics that track the AI crawlers Google Analytics cannot see, YouTube Video Intelligence, and a Legal department. The Community edition is free. Business licenses start at $1,997 one-time, and a done-for-you Managed Website is $997 one-time setup plus $250/month. You bring your own API keys and deploy on your own infrastructure.
Every business wants AI, but the path from curiosity to production is full of landmines.
Claude, GPT, Gemini, DeepSeek, Grok, Perplexity, Manus — there are dozens of models, each with different strengths, pricing, and rate limits. Choosing wrong means overpaying for simple tasks or underpowering critical ones.
New models drop every week. Opus 5 just launched. Gemini Omni shipped last month. By the time you integrate one, three more are available. Your stack is outdated before it's deployed.
Orchestrating multiple AI agents that communicate, hand off tasks, escalate decisions, and track costs requires months of development. Most businesses don't have the engineering team to build this from scratch.
The sheer volume of AI tools, frameworks, APIs, and approaches is paralyzing. You know AI could transform your business, but the gap between "I should use AI" and "AI is working for me" feels insurmountable.
A business clone is modelled after an actual person in your company. An AI agent is a virtual employee that performs a defined function. Both work for you — they are not the same thing, and the difference decides which one you reach for.
Modelled after actual company personnel. You build one by being interviewed, not by filling in a form. It carries that person’s voice, their expertise, how they weigh a trade-off, and the limits they set for themselves.
What it knows and what it refuses to say is the product. One clone per person, because a second is a contradictory account of the same human. It drafts in their name and never sends anything — a person reviews every word.
A virtual employee that performs a job. 70 named AI employees across 11 departments — research, SEO auditing, copywriting, data analysis, security review. Each exists because the job exists.
Personality is applied so the output reads like something a person wrote, but the function is the product. Swap the personality and the work still gets done. That is precisely what is not true of a clone.
Clones do not replace agents — a clone directs them. It can commission research or writing from a restricted set of agents, within the limits its person set, and every run passes the same human approval gate as anything else on the platform.
The company comes first, so nobody is ever interviewed about the business — every question is about the person.
The facts and limits every clone on the instance inherits. Type it in, or upload what the business already has written down and accept what AI OS reads out of it, field by field. Limits can only be added this way — never removed or loosened.
The owner goes first and runs the interview on themselves before asking anyone else to. Because the company is already on file, the questions are about how they talk, what they know, how they decide, and what they will not touch.
Invite colleagues and each builds their own. You see the work their clone produced for the business; you never see their persona — their voice, opinions and personal limits stay theirs.
Three phases of intelligence — from core operations to creative production to AI-assisted monetization, with you approving the actions that matter.
Auto-categorizing knowledge base with semantic connections. Sources flow into wiki, outputs, and a visual radial graph.
DESIGN.md protocol with dual-structure format — reasoning + tokens. WCAG linter, brand cloning from URL, cross-platform export.
A replica of one person’s voice, expertise and limits, built by interview on a shared company profile. It drafts in their name, can direct agents under gated limits, and never sends anything itself.
Remotion video, Google Vids, and Blender 3D — all from natural language prompts with template-driven pipelines.
CRON-scheduled autonomous routines: ad generation, competitor monitoring, analytics digests, content repurposing.
AI-generates digital products — spreadsheets, Notion templates, toolkits. Published to Etsy and Gumroad with SEO listings.
Automated scraping, enrichment, and achievement discovery. Personalized outreach referencing specific accomplishments.
Find local businesses on Google Maps in any niche and score them for website-upgrade fit — no-website businesses surface first. API-based, never scraped; prospects flow into the CRM in one click.
New leads auto-enroll in AI-drafted, human-approved email sequences. Unsubscribe compliance is built in; sends respect your approval mode. Bring a Resend key or any SMTP server.
Your generated sites take real bookings against your availability. Visitors get confirmation emails with calendar invites; every booking lands in the CRM.
Drag contacts through lead, audited, onboarding, and customer stages. Every move is logged on the contact’s timeline — a full audit trail, not just a board.
End-to-end content pipelines — source material transforms into multi-platform distribution across 5+ channels.
Connects Gemini Gems to NotebookLM notebooks. Your AI expert always has the latest research and documentation.
Video, image, audio, thumbnails, and social clips from text prompts. Powered by Gemini Omni Flash with SynthID watermarking.
7 parallel sub-agents audit any domain — keyword, technical, competitor, content, backlink, AEO, and Local SEO / Google Business Profile — with composite scoring and action plans.
Claude Vision reads video frames + transcripts together. Extracts what speakers show, not just what they say.
Mass content production using economy-tier agents. Build massive A/B testing libraries at a fraction of the cost.
70 named AI employees across 11 departments — C-Suite, Engineering, Marketing, Creative, Legal, Support, IT, Operations, and Knowledge & Records.
General Counsel, Compliance Officer, Commercial Licensing Specialist, and Contract Specialist handle agreements, compliance, and IP protection.
Business and Enterprise licenses include self-instance theming — your company name, logo, and colors on your own dashboard. Self-hosted on your own infrastructure, for a single customer.
AI-estimated forecasts for revenue, engagement, costs, and churn with confidence scores and factor analysis.
An agent reads AI OS's own code and plans upgrades — applied to your instance or proposed as a draft GitHub PR against the public repo. Every apply and every PR always requires your explicit approval.
STRIDE threat-model + semgrep static analysis + an AI blue-team review loop, on demand or scheduled, from an operator Security dashboard. Report-only — it surfaces findings and never auto-patches the live system.
Every generated or imported site is security-scanned before it goes live — configurable off / warn / block — so risky output never reaches a live domain unchecked.
Per-client security assessments recorded as a CRM deliverable and surfaced in the client's own Site Security workspace view.
Progressive Web App with offline support, push notifications, and native-feel experience on iOS and Android.
Browse and install pre-built webhook integrations — Zapier, Make, Slack, HubSpot, Salesforce, and hundreds more.
Build and share custom agent tools. A typed SDK lets developers extend any agent with new capabilities and data sources.
Enterprise customers get a branded mobile app for their own instance — your icon and your colors. Powered by AI OS under the hood.
Scheduled PDF and CSV reports delivered to your inbox. Custom dashboards, date-range comparisons, and executive summaries.
Real-time roundtable conversations with your AI employees — bring in multiple agents at once to debate, brainstorm, or work through a decision together.
Every layer is modular — swap models, add agents, chain skills, all without touching core code.
Vault system with raw intake, synthesized wiki, and semantic search. Session hooks auto-load context.
Three-file soul stack: immutable guardrails, operator preferences, agent personas. Per-project context overrides.
DESIGN.md dual-structure tokens, Vibe Design prompt-to-screens, WCAG linter, brand clone from URL.
Remotion video, Google Vids, Blender 3D, batch generation — all template-driven with cost tracking.
Opus 5 effort-based routing (xhigh/high/low), DeepSeek economy tier, Grok realtime, Hermes MCP persistence, skill chaining, CRON loops, dynamic workflows.
Product factory, lead pipeline, marketing hub, Golden Loop — autonomous revenue generation.
A Virtual Corporate HQ with named AI employees — from CEO to Legal Counsel to Support Desk. The orchestrator routes work to the optimal model tier.
An AI agent management layer is the system above the agents — the approval gates, quality standards, oversight metrics, and recovery paths that decide what runs, what good looks like, who signs off, and what happens when it goes wrong.
Agents do not remove human work — they transmute it into allocation, specification, evaluation, and recovery. Enterprises report better returns from AI agents largely because they can afford to build this layer around them; small teams get the same frontier models for a few dollars a month and stall without the business process. AI OS ships the layer as the product.
Every irreversible or outward-facing action carries a risk class and stops for a human unless you deliberately chose otherwise. Batch approval clears a homogeneous run in one decision; critical items escalate to Telegram and Slack instead of waiting for you to look.
The dashboard measures the work agents create for you — decisions per day, median time-to-decision, pending-queue age, and logged cleanup cost — beside the usual token and spend metrics. Most platforms measure the agents; AI OS also measures the management overhead they generate.
All 73 agents carry a written handbook stating the outcome and what good looks like before anything runs. Verification rubrics grade every run against those criteria, and criteria that keep failing are flagged back for human review — the loop from repeated mistake to revised standard is built in.
Failed actions can be retried deliberately with the error in front of you, cleanup time is logged where it happened, and a failed pipeline notifies you instead of dying quietly. The expensive part of agent mistakes is the recovery — so it is tracked, not hidden.
Process-verified reasoning grades each step of an agent's work before the next runs. A step's proposed action cannot execute unless the step verified — structurally, not by convention — and an ambiguous verdict is never treated as a pass. Available to any pipeline stage as verified-steps, reflexion, or tree-search, and checked against a live model rather than a mock.
For repeatable work, the agent writes the automation once and reviews its output instead of re-deriving the procedure with a model every run. Measured on one real task — the daily intelligence brief — the automation-authored version cost 16× less, used 14.5× fewer tokens, and was more grounded because it read primary sources. One task, one day; available as a mode. How it works.
The Business License — $1,997 one-time — is the management layer an enterprise builds for itself, at a price a small business can justify.
Like n8n and ViaSocket — free to self-host, with commercial licenses for teams that need more.
Don't want to self-host? We do it all for you. Our AI agents and team design and build your site, then we host and maintain it on our own VPS — custom domain, TLS, and ongoing updates included. You get a scoped client dashboard to track your site, audits, and content. It's the same platform, fully managed.
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