The OS for
Autonomous AI Agents
AgentOS is the full-stack operating system that lets you build, orchestrate, and deploy private AI agents -- with deeper memory, richer pipelines, and a visual workflow builder that competitors simply don't have.
Four Products. One Platform.
A vertically integrated AI stack that handles everything from agent design to air-gapped deployment.
AI AgentOS
Core Platform- Multi-model orchestration across any LLM
- Persistent memory across sessions
- Autonomous task execution with error recovery
- Pre-built agent templates for common workflows
Agent Studio
No-Code Builder- Visual drag-and-drop workflow builder
- AI-assisted agent creation from natural language
- One-click deployment to production
- Version control and rollback
DaaN Network
Distributed Compute- Model-layer sharding across any hardware
- Agent-to-agent collaboration network
- Cross-GPU model aggregation
- Parallel workload execution
Private AI Cloud
Air-Gap Ready- Fully air-gapped deployment option
- Zero external dependencies
- ITAR / HIPAA / SOC 2 compliance
- On-premise or hosted private cloud
See It in Action
Real screenshots from the AgentOS platform -- not mockups, not concepts.
AI AgentOS Desktop
The full desktop environment with integrated AI assistant, agent pipeline management, and app ecosystem -- all running privately on your infrastructure.
Agent Studio
Design, build, and deploy intelligent AI agents with visual flows. Start from scratch, use AI Builder, browse templates, or create agent flow pipelines.
Multi-Agent Pipelines
Orchestrate complex multi-agent workflows with parallel execution, dependency resolution, and real-time status tracking across your entire agent fleet.
AI App Builder
Build production-ready applications using natural language. Describe what you want, and the AI generates complete, deployable applications instantly.
How AgentOS Compares
A transparent, capability-by-capability breakdown against OpenClaw -- one of the most recognized multi-agent frameworks in the market.
Where AgentOS Leads
Five areas where our architecture provides capabilities that go beyond what any comparable platform currently delivers.
Richer Memory System
While OpenClaw uses flat JSONL session logs, AgentOS provides 3-scope memory with LLM-powered compaction, keyword search, context budgeting, and run history that persists across background executions.
Task, Agent, and Run-level memory scopesVisual Flow Builder
Agent Studio lets users build agent pipelines visually with a Node-RED style interface -- something OpenClaw does not offer. Teams design, test, and deploy complex multi-step workflows without writing code.
No-code visual workflow designPipeline Orchestration Depth
Our orchestrator handles parallel groups, dependency chains, input mappings, fallback agents, timeout handling, and auto-deduplication of overlapping agents. OpenClaw relies on simpler message passing between sessions.
Parallel + sequential with dependency resolutionStructured Approval System
A full approval queue with configurable risk levels, automatic expiry, and email notifications replaces the basic DM pairing approach. Every sensitive action gets proper human review before execution.
Risk-tiered human-in-the-loopA2A Cross-Platform Protocol
Enhanced Agent-to-Agent service enables cross-platform interoperability. Agents built on different systems can discover, communicate with, and delegate tasks to AgentOS agents -- and vice versa.
Industry-first cross-platform agent interopReal-World Use Cases
From cybersecurity to sales enablement, see how teams deploy AgentOS to solve real problems on day one.
Build a Cybersecurity Monitoring Agent
Your IT team needs 24/7 threat monitoring across your network but lacks the engineering bandwidth to build it from scratch.
Open Agent Studio, describe what you need in plain English, and deploy a production-ready cybersecurity agent in minutes -- not months.
Create a Custom CRM Dashboard
Your sales team wants an AI-powered CRM dashboard that integrates with your private customer data without sending it to external clouds.
Use the AI App Builder to describe the app in natural language. It generates a complete, deployable application with live data connections instantly.
Run Everything Air-Gapped
Your CISO requires zero data exposure to external cloud providers. Compliance mandates that all AI processing stays on-premise.
Deploy the full AgentOS stack on your own hardware. Agents, apps, models, and data -- all running on your infrastructure with zero outbound connections.
Orchestrate a Research Pipeline
Your R&D team needs to coordinate multiple AI agents for a complex research task: one researches, one analyzes data, one writes reports.
Define a multi-agent pipeline with dependency chains. The orchestrator handles parallel execution, data passing, and fallback agents automatically.
Full-Stack Architecture
Six layers working together to deliver the most complete private AI agent platform available.
Agent Studio UI
Visual flow builder, AI Builder, agent templates
Orchestration Layer
Multi-agent pipelines, dependency resolver, approval queue
Agent Runtime
3-scope memory, MCP tools, A2A protocol, model failover
Execution Layer
Desktop Electron app, browser automation, cron scheduler
DaaN Network
Distributed compute, model sharding, cross-GPU aggregation
Private Infrastructure
Air-gap deployment, data sovereignty, zero outbound
Ready to Deploy Your Private AI?
Get AgentOS running on your infrastructure in under 24 hours. No vendor lock-in. No data leaving your network. No compromises.