Documentation Index
Fetch the complete documentation index at: https://labs.prompthon.io/llms.txt
Use this file to discover all available pages before exploring further.
Summary
Google’s April 29, 2026 Gemini update pushes assistant memory into a more portable shape: remembered preferences, imported memory summaries from another assistant, and full chat-history transfer now sit behind the same personal context story. For handbook readers, the useful shift is not “better personalization” in the abstract. It is that imported personal context is becoming a first-class input surface that sits next to retrieval, working memory, and durable artifacts.Why It Matters
The lab already explains memory and retrieval as a systems boundary, but this product signal sharpens a newer question: what exactly counts as memory when a user can import a summary or a ZIP archive from another provider? That matters because these inputs behave differently:- retrieval pulls from external sources when needed
- working memory helps the current task stay coherent
- durable artifacts preserve explicit outputs such as notes or decisions
- imported personal context brings prior preferences, relationships, and conversational history into a new assistant
Evidence And Sources
- Gemini launches new personalisation features in the UK: Google says Gemini memories can learn from past conversations, that the memory setting is on by default, and that users can import both memory summaries and full chat-history exports from other AI apps.
Signals To Watch
- Whether assistant products keep imported personal context separate from retrieval inputs and durable artifacts in their internal models and user controls.
- Whether default-on memory features lead to clearer review, deletion, and scope-management surfaces.
- Whether cross-provider migration becomes a standard product expectation rather than a one-off import tool.
- Whether enterprise products adopt the same portability pattern or keep it limited to consumer assistants.
Editorial Take
This signal belongs inradar/, not in evergreen memory prose yet. The durable
takeaway is the boundary it exposes:
- imported preferences are not the same as retrieval
- imported chat history is not the same as a durable work artifact
- personalization settings are now part of the trust surface, not only a UX convenience
Update Log
- 2026-04-29: Added a radar note on imported personal context, memory portability, and chat-history transfer as a new assistant-design boundary.
