Aimagutchi
AI workflow memory that compounds
Workflows fail when memory lives in your head or a notes doc. Put confirmed context on the agent and reload it automatically.
The pain
- Critical constraints live in Slack threads and forgotten docs.
- Each run improvises instead of starting from last week’s truth.
- You cannot tell whether the model actually used your prefs.
Why chats & prompts fail
- Prompt folders capture text, not session continuity.
- Opaque tools hide whether memory was applied.
- Without continuity receipts, “memory” is a marketing claim.
Persistent memory + playbooks
- Curated memory items per agent—facts and preferences you confirm.
- Automatic injection into chat and starter runs.
- Continuity receipts that show memory cited and playbooks reused.
First win in minutes
Day-7 starters ship with seeded memory, sample history, and one reusable workflow—so you see continuity before you build from scratch.
Try workflow memory freeYour starter
Atlas Owl is ready
Memory, work history, and one reusable workflow — no API keys required.
Saved memory
- Brief format preference
Verdict → evidence → next action
Work history
Compared three note-taking tools for long-term retrieval quality
Memory reused on last run
Verdict: prioritize visible history + reusable skills in week one…
Research brief workflow
Run sample35% fewer tokens vs baseline12 skills saved
FAQ
- How is workflow memory different from a prompt library?
- A library stores text. Workflow memory is loaded into the agent, tied to history, and proven on each run.
- Can I edit memory later?
- Yes. Add, edit, or deactivate items so the agent stays accurate as your work changes.
Stop rebuilding. Start compounding.
Create a free account, pick a starter, and see memory + history on your first run.
Try workflow memory free