Concepts & FAQ
Understanding ContextStream.
Whether you're a developer or managing projects without code, here's how ContextStream organizes your AI's memory and context.
Architecture
How it all connects.
Layer 01 · Workspace
Your team or personal space
“Acme Corp” or “My Personal Projects”
Layer 02 · Project
Project: Backend API
Code repository
Layer 02 · Project
Project: Marketing
Documents & plans
Within each project, AI remembers
Memory
Decisions, conversations, learnings that persist forever.
Context
Indexed files, docs, and searchable content.
Knowledge
Connected insights showing how things relate.
Workspace = your container
Think of a workspace like a company or team folder. Everything inside belongs together.
Examples
- •“Your Company” or “My Personal Projects”
- •“Client: Acme” — a client's work
Project = specific work
Each project focuses on one thing. Could be a codebase, a document set, or an initiative.
Examples
- •A GitHub repository
- •Marketing campaign docs
- •Research notes collection
FAQ
Frequently asked questions.
Common questions when getting started.
Group 01
For developers
Group 02
For teams & non-coders
Group 03
Token saving & costs
Group 04
General questions
Next steps
Ready to get started?
Set up ContextStream in 5 minutes and give your AI a persistent memory.