Proactive Memory

SkillDocs & knowledge

Lets your agent remember past mistakes and corrections so they become saved notes and follow-up tasks.

Use Proactive Memory in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add Proactive Memory and connect your AI. About a minute.

Then ask your AI: use the Proactive Memory skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.

No other account needed.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Proactive MemoryStart free

About this skill

Self-hosted AI workspace where chat becomes visual workflows, multi-agent operations, and reviewable automations. Local memory; local or cloud models

The instructions your AI receives, as published by aaronnat23/disp8ch in skills/proactive-memory/SKILL.md and read by Ahel’s review.

Turn repeated failures, corrections, and recurring requests into durable follow-up work.

When an agent hits the same failure twice, create a short memory note with the trigger, failed approach, corrected approach, and verification result.
Convert important corrections into board tasks or scheduled follow-ups instead of leaving them only in chat history.
After a user changes a preference, record the new preference in memory and mention the update in the next relevant run.
Pair with scheduler for check-ins such as "retest this flow tomorrow" or "review this integration every Monday".
Pair with hierarchy goals when the lesson belongs to a team, project, or organization rather than one agent.
Keep entries concise: problem, correction, evidence, next trigger.
Prefer updating an existing memory cluster over creating duplicate notes for the same issue.
If a correction changes a standard operating pattern, recommend enabling or updating the matching skill pack.

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