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Multi-agent setups don’t fail because the models are weak. They fail because nothing connects them. Orbit exists to be that connection.

AI Agent Fragmentation

You start with one Claude chat. Then you add a scheduled agent for outreach. Then an n8n workflow for lead gen. Then Codex for code. Each one is genuinely useful on its own. But none of them share anything. The outreach agent doesn’t know the positioning your strategy session locked in. The lead-gen workflow contacts people your sales notes said to avoid. The coding agent suggests an architecture you already rejected. Every tool is an island. Every agent an employee with no context of the company it’s working for and the guidelines it needs to work in. You’re the only bridge between them — and you don’t scale.

Why “just use longer context” doesn’t fix it

Bigger context windows help a single conversation. They do nothing across tools, across sessions, or across time. A 200k-token window is still empty at the start of every new run. Memory that lives inside one tool can’t be read by another. The missing piece isn’t more context. It’s a shared, durable layer that every agent reads from and writes to — independent of which tool is running.

What changes with Orbit

When agents share a brain, your operation compounds instead of resetting:
  • A decision filed once governs every agent, forever, until you change it.
  • Work one agent produces becomes context the next agent builds on.
  • You stop re-explaining and start reviewing.
  • Conflicts surface instead of silently corrupting your knowledge.
Each run makes the next one smarter. That’s the whole point.

See the core concepts

Understand the Vault, Decisions, and Trust Levels that make this work.