The Agent OS
for the Sovereign AI Era
People want the experience of working with AI. CLU brings that experience to any network, with any model, in one managed system.
Stack knowledge once: agents work for every team, every channel.
Experience won, not intelligence.
GPT-3 had been out for two years. A chat box changed that, and agents come next.
GPT-3
ChatGPT
AI agents
With no way to use it, it stayed away from daily work.
A chat box arrived and everyone started using it.
Beyond chat, it uses tools and carries the task through.
What comes next is running those agents across a whole organization.
Add agents one by one and control falls apart.
Turn on the agent that ships with every SaaS tool, and this is where you land.
- Knowledge splits across systems and never lands in one place.
- People hop between systems just to reach an agent.
- Permissions and security rules differ from agent to agent.
- Hidden knowledge from across the organization gathers in one place.
- The same agents work across every system without additional development.
- Organization-wide permissions and security standards make every agent safer.
Legacy to knowledge. Knowledge to agents.
Three stages, connected inside one security boundary.
Legacy systems
Bring in documents, SaaS, databases, APIs, and MCP as they are.
Connected, not migrated
Knowledge wiki
Knowledge is extracted automatically and stacked in one place.
It becomes your wiki
AI agents
Members and agent teams turn that knowledge into documents and actions.
Work runs on stacked knowledgeIt runs the same way on a closed network.
Install. Connect. Work.
Knowledge, agent teams, multiple models, and verified security—ready now.
- 01
Install
Deploy CLU in your environment: cloud, on-premise, or closed network.
The operating system is ready - 02
Connect
Bring in documents, SaaS, databases, APIs, MCP, and legacy systems.
Knowledge becomes one wiki - 03
Work
Members and agent teams create ideas, documents, and actions.
Value starts with the first use
Build from scratch
You start today
Go live immediately, then build up legacy-system, SaaS, document, and usage-pattern data as you work.
SOVEREIGN · AIR-GAPPED
Offline outside. Complete inside.
Deploy sovereign or OSS models locally. Keep organizational knowledge inside. Run agents within the same boundary.
01 · Local models
Sovereign or OSS
02 · Private knowledge
Data stays inside
03 · Internal execution
Inference to action
Ready to ship?
Business runs on AI agents.
Stack your first knowledge graph in hours, not quarters.
Start today with AICLUDE: the most complete and secure Agent OS.