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How to Fix Stale AI Agent Memory
A practical diagnostic for stale, contradictory, or wrong AI agent memory: inspect the source, preserve corrections, and delete only when necessary.
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Concepts
AI-agent users debugging stale, conflicting, or wrong recalled context
5 min read
01
Reproduce the bad recall before changing stored memory.
02
Verify the current source and scope before deciding what is stale.
03
Preserve corrections; permanently delete only what should not remain.
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Quick answer
To fix stale AI agent memory, first reproduce the wrong recall and find the record that supplied it. Check the current source and scope, then decide whether the memory is outdated, contradictory, scoped to the wrong project, or simply false. Preserve useful history by capturing the current fact and reviewing the resulting revision; permanently delete only records that should not remain.
Wenlan keeps this workflow inspectable: /recall finds matching memories and source IDs, /lint deep can surface semantic contradiction candidates without changing data, and /curate revisions lets you accept or dismiss staged updates. /forget permanently deletes one explicit source ID and cannot be undone.
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When this problem appears
The failure is not always forgetting. An agent can confidently retrieve an old decision, mix facts from two projects, surface duplicate rules, or return both sides of a changed fact. That stale or contradictory agent memory can steer new work in the wrong direction while still looking plausible.
03
Diagnose before you delete
Treat stale memory like a debugging problem: reproduce it, trace it, correct it, and verify the same retrieval again.
- Repeat the query that returned stale context and write down the expected current fact.
- Use /recall to inspect the matching content, source ID, revision state, and active project space.
- Check current source code, documentation, or the recorded decision before changing memory.
- Run /lint deep when you need a read-only pass over possible contradictions or duplicates.
- Capture the corrected current fact; if Wenlan stages a revision, inspect it with /curate revisions before accepting or dismissing it.
- Repeat the original recall and verify that current context now ranks ahead of obsolete context.
- Use /forget only for an explicit record that is wrong, sensitive, or should not remain in local history.
Stale-memory diagnostic
/recall <stale topic>
/lint deep
/capture <current fact + why>
/curate revisions
/recall <same topic>
# Destructive; cannot be undone:
/forget <source_id>04
What to check next
Do not delete every contradiction. It may show that a decision changed or that two contexts were mixed. Plain /lint and /lint deep are read-only; repair is a separate approval-gated workflow. Verify the source and scope before changing any record.
Try the local memory loop
Install Wenlan, connect your AI client, and verify that capture, recall, and handoff work on your machine.
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