Ask → Route → Authorize → Retrieve → Respond / Update → Verify
Every request — from a hosted assistant, a local model, or a developer tool — moves through the same governed path. Here's what happens at each step, in plain language, with a developer note underneath for anyone who wants the mechanism.
1. Durable knowledge
Useful facts, decisions, project state, and preferences are written down in human-readable form — the same kind of notes a competent assistant would keep for you, not a raw log of chat messages.
2. Project boundaries
Your knowledge lives inside separate projects — personal, work, a business, research — so context from one doesn't bleed into another.
3. Layered context (bootstrap)
Rather than loading everything at once, AIOS reconstructs context in layers — starting with governance and security, then narrowing down to the specific project and the memory relevant to the current question.
4. Project resolution (routing)
The system figures out which project a request actually belongs to, based on its subject — not based on which project happens to be open or convenient.
5. Authorization
Being able to see that a project exists is not the same as being allowed to read or write it. Every request is checked against what the requesting client is actually permitted to do.
6. Retrieval
Only the relevant, authorized knowledge for the current project is pulled in to answer the question — not the entire second brain.
7. Governed updates
When something genuinely new or changed needs to be remembered, it's created, appended, or corrected under policy — not silently overwritten and not written to the wrong project.
8. Verification
The result — an answer or a durable update — is checked against what was actually intended before it's treated as final.
9. Recovery
Because the underlying knowledge is human-readable, it can be recovered and the systems around it rebuilt — the knowledge doesn't depend on any one index, connector, or client surviving.
Context is reconstructed in layers, not loaded all at once
Select a tier to see what it contributes before the system ever reaches your actual question.
Want the conceptual system map?
The Architecture page lays out how AI clients, adapters, the project-aware gateway, and durable canonical knowledge fit together as layers.