AI Memory
What is AI Memory?
In iKho's product direction, AI Memory focuses on organizing conversations and experiences into personal memory that can be searched, traced and used again.
Understand Personal ContextRecordings, text and memory clues
| Recording | Preserves sound as an original record for listening back and checking information. |
|---|---|
| Transcript | Turns sound into text that is easier to read, with timestamps to help locate content. |
| AI Memory | Focuses on organizing clues within records, together with Personal Context, to preserve the connections between conversations, decisions and actions. |
Example uses
Reviewing a meeting
Listen back to a conversation and review its transcript to check the discussion background and action items, then organize important clues into records that can be found later.
Project background
Write an existing piece of project background as a memory record, then find it by keyword in a later discussion. The Memory MCP documentation explains how to connect to memory search, reading and writing.
Limits
Transcription, speaker distinctions and AI-organized results can contain errors or omissions. Check important information against the original audio.
These examples illustrate iKho's areas of exploration and uses for memory clues. Refer to the specific client version, developer documentation and Privacy Policy for feature access, connection requirements and data processing rules.
Frequently asked questions
- Is AI Memory the same as audio recording?
- An audio recording preserves sound; a transcript turns sound into text that is easier to read. iKho is exploring AI Memory as a way to organize the clues in these records further and use Personal Context to support understanding and recall.
- Is the output guaranteed to be complete and accurate?
- No. Transcription, speaker distinctions and AI-organized results can all be wrong. Check important information against the original audio. This concept explanation does not mean every area of exploration has been implemented.