Your team is AI.
One human, full agency.
You bring the judgement. Everything else compounds: workflows run, daemons watch, audits catch drift, you decide what matters.
Every decision trains the system. Your agency gets sharper with every cycle.
Design Your method, now executable.
Write how you work. Agents follow it. Plug a skill in. The step wires itself.
- Visual DAG builder. No code.
- Approval gates per step.
- Ships to Gmail, Drive, Telegram on approve.
Execute Your AI team gets to work.
Manager, account manager, researcher, engineer. They coordinate and execute autonomously.
- One agent per client on WhatsApp, Slack, or Telegram.
- Memory and SOPs build per client. Sandboxed.
- Cross client patterns promote to agency playbook.
Review You decide what ships.
Approve, reject, or iterate each item. Iterate in the review chat. Agent rewrites live.
- Verdicts per item: scale, test, or replace.
- You review, audit agent reviews, or auto approve.
- Reports auto built and sent to client.
Learn Your agency learns. Automatically.
AI output vs what you shipped. The diff is the signal. Rejections get invalidated. Noise dies.
- Per client memory compounds automatically.
- Every output traces back through the workflow.
- Your 20th client is easier than your 10th.
Meet your agents.

The Manager
Coordinates the team. Routes work to the right agent, monitors progress, escalates blockers. Sees the full picture.

The Researcher
Market research, competitor analysis, trend detection. Uses Perplexity, web scraping, and data tools to build the knowledge base.

The Engineer
Builds capabilities, configures plugins, writes skills. The technical backbone that keeps the system running.

Account Managers
One per client. They handle interactions, execute skills, produce deliverables, and filter client feedback against what the system already knows.
If you can describe it,
agents can run it.
Skills are recipes: you write how the work gets done, agents execute it step by step. Build your own or use the ones that come with the platform.
Everything an agency needs to operate.
Not another AI wrapper. Agency OS is infrastructure built for teams that need control, visibility, and real output.
Auto learning
Every approval and rejection feeds back into the system. The diff between AI output and what you actually shipped becomes training signal. Per client memory compounds. Cross client patterns promote to your agency playbook. Your agency gets smarter with every cycle.
DAG Workflows
Visual pipelines with branching, merging, and cyclic flows. Not a linear checklist.
Daemons
Background workers that watch your channels (Instagram comments, Google Reviews, competitor RSS, support inboxes) and run a skill on every event. Clean cases auto-respond. Judgement calls land in your queue with a drafted reply ready to approve. Nothing gets dropped.
Isolated per Client
Each client gets their own agent team. Sandboxed. No cross contamination.
Auditor Agent
Independent QA agent reviews every output. Brand, facts, quality. Flagged before you see it.
Skill Creator
Missing a tool? The SWE agent builds it and deploys at runtime. No waiting.
Collaborative Editor
Review agent outputs side by side in a live editor. Read the agent's QA feedback, iterate in the review chat, approve or reject each section independently. One workspace for review, iteration, and approval.
Connect Everything
Meta Ads, Perplexity, Drive, Slack, Telegram. 21+ integrations and growing.
Bring Your Own Keys
Your API keys. Your cost control. Zero vendor lock in on the AI layer.
Every tool does one thing. None runs your agency.
LLM agents are powerful but generic. Automation tools connect everything but reason about nothing. AI platforms orchestrate agents but ignore your domain. Agency OS is the only stack purpose built for solopreneurs and agency operators.
| Agency OSBuilt for operators | LLM AgentsChat-based coding | AI PlatformsAgent builders | AutomationWorkflow tools | |
|---|---|---|---|---|
| Multi-agent teams | ● NATIVE Role based agents, sandboxed. | ○ PARTIAL Agent teams, managed agents. | ○ PARTIAL Multi agent playbooks. | ○ NONE AI nodes, not agents. |
| Human approval loop | ● EVERY STEP Every step, built into architecture. | ○ PARTIAL Permission modes per agent. | ○ OPTIONAL Approval steps in workflows. | ○ OPTIONAL Approval nodes available. |
| Visual workflow builder | ● DRAG & CONNECT Drag, connect, execute. | ○ CLI / API CLI or API only. | ○ STUDIOS Visual studios available. | ○ INDUSTRY LEADING Industry leading visual editors. |
| Reusable methodology | ● SKILLS Skills as markdown. Auditable, versioned. | ○ PROMPTS Ad hoc prompts each time. | ○ TEMPLATES Prompt templates, not full methodologies. | ○ HARDCODED Hardcoded logic in nodes. |
| Multi-tenant isolation | ● DOCKER SANDBOX Docker sandbox per agent, per client. | ○ SINGLE CONTEXT Single user context. | ○ WORKSPACE Workspace separation, no container isolation. | ○ SHARED Single workspace. |
| Zero-code for operators | ● OPERATORS MANAGE Operators manage, agents execute. | ○ DEV TOOL Developer tool. | ○ NO CODE Some are fully no code. | ○ NO CODE Designed for non technical users. |
| Plugin ecosystem | ● EXTENSIBLE SDK Extensible SDK, community plugins. | ○ MCP MCP servers, growing ecosystem. | ○ CUSTOM TOOLS Custom tools via code. | ○ PRE BUILT Thousands of pre built nodes. |
| Learns from every cycle | ● COMPOUNDS Memory per client, compounds over time. | ○ NONE No persistent memory across sessions. | ○ NONE Stateless executions. | ○ NONE No learning loop. |
| Omnichannel | ● ANY CHANNEL Same agent, any channel. | ○ WEB / CLI Web or CLI only. | ○ SLACK Slack mostly, limited channels. | ○ TRIGGERED Via triggers, not conversational. |
Your agents live where your clients are.
CHANNELS
Same agent. Every channel.
Your client messages on Telegram. You reply from the dashboard. The agent keeps full context across both. No switching, no syncing.
INTEGRATIONS · 21+ AND GROWING
Growing library of connectors.
plugin SDK
Ready to run your agency with AI?
We are looking for the first agencies to beta-test Agency OS. Free access to the full platform in exchange for feedback. No credit card, no commitment. Just real usage and an honest take.
Beta access · Free during beta · Limited spots