Context dissolves into chats
You keep re-explaining yourself because the original record never becomes a durable memory layer.
Your words dissolve into AI. Your records don't have to.
zakki keeps your original notes, photos, provenance, and branches in one personal memory layer. Review the raw record yourself first, then pass only the needed context to any AI through MCP.
Why it exists
zakki turns raw records into a reusable personal layer so you can revisit what happened yourself and let connected AI recall it accurately.
You keep re-explaining yourself because the original record never becomes a durable memory layer.
When only summaries remain, you cannot trace the source, timing, or branch behind the answer.
Tools that demand formatting before capture make it harder to accumulate raw records in the first place.
Use cases
These examples show how you save original records, revisit them yourself, and only then ask AI to reason from the right memory.
Save reps, weight, photos, and body signals at the gym. Revisit yesterday's raw record, then ask AI to adjust today's plan from the same memory.
What enters the layer
Example: bench 70kg x 5, slight shoulder pain, gym photo
What you can ask AI to recall
Example: Recall yesterday's session and adjust today's plan without repeating the same shoulder strain
Capture meeting notes and open questions right after the conversation. Re-read your original record, then ask AI to spot gaps or contradictions.
What enters the layer
Example: company A worries about approval flow, API limit is 60 requests per minute
What you can ask AI to recall
Example: Recall this meeting record and find contradictions or gaps I might have missed
Stack sleep notes, energy dips, and small observations. Look back at your own pattern first, then ask AI to recall what you may be missing.
What enters the layer
Example: slept 6 hours, focus dropped in the afternoon, bought protein on the way home
What you can ask AI to recall
Example: Recall the last two weeks and tell me what pattern I may be missing around the afternoon crash
Mobile screens
Home, new record, photo attachment, and search all support low-friction accumulation of original records.
MCP recall flow
Connected AI clients call only the resources and tools they need. Human-authored records stay primary, and AI-saved follow-ups stay on a separate usage meter with their own provenance.
Add a short record or photo from mobile
Fetch only the needed records with digest resources and search
Reply with your records and branches in view
Prompt to AI
Recall yesterday's workout and adjust today's plan without repeating the same shoulder strain
What AI reads
entries://digest/2026-03-31 search({ query: "shoulder", from: "2026-03-01" }) Answer you get back
Yesterday's record shows bench 70kg x 5 plus shoulder discomfort. Today is safer if you ease off pressing and bias toward back work.
Capture text and images before detail disappears. The raw record stays available.
MCP lets external AI read the right slice of your memory layer. AI-saved follow-ups stay distinct from your own records and use a separate meter.
Your records belong to you. We never use them to train AI models.
$0
Short-term memory layer with basic image storage
$9.99/month
Long-term memory layer and broader AI recall
Human-authored records and AI-saved records are counted separately.
First 14 days: human-authored records are unlimited, AI-saved records are limited to 5 total.
Join the waitlist or volunteer for a short interview.