Docs

How Spaces Work in Neonous AI

Learn how spaces keep project memory, artifacts, and context isolated across long-running workflows.

A space is the container for durable project context.

Artifacts, memory, and chat history become more useful when they stay together.

Good space handling prevents contamination across similar projects.

Why spaces exist

Without a dedicated project container, assistants tend to answer from whatever was most recent. Spaces give the system a stable scope for decisions, artifacts, and recall.

What belongs in a space

Project decisions and current priorities
Artifacts such as reports, maps, dashboards, and tables
Follow-up sessions that refine the same body of work

Next Step

Use spaces to keep projects clean

See how multi-project switching works when recall is scoped properly.

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Use Case

AI Agent for Multi-Project Context Switching

Use an AI assistant that keeps similar projects isolated, asks for clarification when context is weak, and avoids space contamination.

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Docs

How Memory Works in Neonous AI

Learn how Neonous handles retain, recall, active state, contradictions, and blocked memory items.

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Docs

Artifacts in Neonous AI

Learn how Neonous turns chat context into maps, calendars, tables, checklists, dashboards, reports, and other structured outputs.

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