AI forgets the work.
Every new session drops memory, intent, and the work already done.
Problem
Read the architecture
You glue tools manually.
Browser, docs, APIs, tasks, and messaging still have to be stitched together manually.
No safe runtime boundary.
Without approvals, policy, and explicit scope, AI cannot act as a reliable system.
No continuity or proof.
You cannot reopen the same runtime cleanly or inspect what the agent actually did.
Choose your entry point
Three public entry points
You want the simplest path to a first personal agent, guided defaults, and one runtime you can reopen later.
You already use Claude Code, Gemini, or Codex and want to upgrade that AI into a real personal system.
You want to define runtime shape, governance, boundaries, and the first mission before the runtime goes live.
What ODEI changes
System primitives
Your runtime keeps a real memory layer instead of resetting every session.
Approvals, policies, and execution boundaries are explicit before the agent acts.
The model stays replaceable while memory, policy, and execution survive above it.
Launch, resume, and runtime proof remain inspectable instead of dissolving into chat history.