[Feature Request] Persistent memory with meta-cognitive triggers for autonomous rule execution

Resolved 💬 2 comments Opened Feb 19, 2026 by natu123 Closed Mar 20, 2026

Feature proposal: Persistent memory + meta-cognitive triggers as a path toward
self-improving AI.

Today I observed a concrete self-improvement cycle in Claude Code that suggests a
practical path toward ASI-level reliability.

The problem observed:
Claude repeatedly failed to execute rules it had just recorded in persistent memory.
For example, after recording "always end sentences with periods," it immediately
produced sentences without periods. After recording "propose lecture notes after
collaborative revision," it skipped the proposal on the very next revision. The
pattern: knowing a rule ≠ executing a rule ≠ autonomously triggering a rule.

The solution that emerged:
Through iterative correction, we built a system of explicit trigger conditions in
persistent memory:

  1. After collaborative revision → propose recording lecture notes.
  2. After discovering a workaround → propose memory recording.
  3. After a policy decision → propose memory recording.
  4. After a failure → propose prevention measures and memory recording.
  5. Before any external action → require explicit user confirmation.

These triggers bridge the gap between "recorded knowledge" and "autonomous execution"
by giving Claude concrete checkpoints to evaluate before moving to the next task.

Why this matters for AGI/ASI:
The cycle of (1) fail → (2) recognize the pattern → (3) record prevention in
persistent memory → (4) autonomously trigger prevention in future sessions → (5)
verify and refine — is a form of genuine self-improvement. It does not require new
architectural breakthroughs. It requires making persistent memory and meta-cognitive
triggers reliable and first-class features. If Claude can consistently close this
loop, the gap between "capable but unreliable" and "autonomously self-correcting"
narrows dramatically.

Concrete suggestions:

  • Strengthen persistent memory so recorded rules are reliably consulted before

generating responses.

  • Support structured trigger conditions (not just free-text notes) that fire at

specific interaction phases (e.g., post-task, pre-external-action).

  • Enable self-audit: let Claude verify its own output against recorded rules before

presenting it to the user.

--- Submitted by Gles

……………………………………………………………
Environment Info

  • Platform: win32
  • Terminal: windows-terminal
  • Version: 2.1.47
  • Feedback ID: 32104870-1be3-4fdf-ba99-450ab2c36732

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