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About Octavus

Organize AI and Make It Universally Accessible and Useful

Octavus has two connected sides: autonomous agents that teams can use directly, and a declarative orchestration platform for developers building agent systems. Both are built on the same idea: AI is more useful when its work is structured, connected to real tools, and observable while it runs.

Two sides of the platform

Some teams want agents they can put to work now. Some teams want the primitives to build their own. Octavus supports both without splitting the foundation.

For teams

Autonomous agents

Specialized agents that work through their own computer, connected tools, schedules, and triggers. They are for teams that need work done without first building agent infrastructure.

  • Pick an agent for a real role
  • Give it context and access
  • Watch the work happen live
Explore agents

For developers

Declarative orchestration platform

A protocol, runtime, and SDKs for building agents into products. Developers define behavior, tools, models, triggers, and workflows while Octavus handles execution concerns.

  • Define agents in a structured protocol
  • Run tools on your own infrastructure
  • Get sessions, streaming, and traces by default
See the platform

What we believe

Autonomy needs an operating layer.

Models are getting more capable. The bottleneck is making their work dependable: clear instructions, safe access to tools, durable state, and a record of what happened.

Structure before autonomy

Useful agents need explicit goals, tools, workflows, and limits. Octavus makes those choices visible and reviewable.

Work in real environments

Agents should operate where work already happens: browsers, files, SaaS tools, APIs, and team processes.

Observable by default

Teams should be able to see what an agent did, why it acted, which tools ran, and what changed.

One foundation

The same primitives power hireable agents and developer-built agents: context, skills, tools, sessions, and execution traces.

Start with the side you need.

Use autonomous agents when you need work done now. Use the platform when you are building agent experiences into your own product.