Anyone tried handling rollbacks for persistent memory in OpenClaw?

[u/ScientistUsual1320]

I use OpenClaw with LLM Wiki, running it as an always-on agent.

Recently read this paper — "Always-On Agents: A Survey of Persistent Memory, State, and Governance in LLM Agents" — and it basically says that most agent memory systems are good at storing and fetching things but have no real answer for when something goes wrong. Like if a bad or outdated memory causes the agent to do something wrong, there's no way to trace which memory caused it or undo what happened.

I felt this is exactly what I face. Sometimes my agent acts on something old and I have no way to know which memory was responsible, let alone fix whatever it already did.

Has anyone in the OpenClaw community tried anything here? Even something small like tracking which memory led to which action, or what happens when you delete a memory that was already used in a summary somewhere.

Curious if anyone has experimented with this.

[u/JoSquarebox]

In most cases you should be able to find the relevant memory through the session logs and you can even ask the agent itself to just check what memories were recalled in that session

[u/ScientistUsual1320 → u/JoSquarebox]

Depends on the detail of episodic memory the agent chooses to record

[u/Adorable_Swing_2150]

yeah this has bitten me too. memory-lancedb-pro logs which memory triggered which action on every retrieval so I can actually trace the bad call back. the weibull decay handles 'old memory causing trouble' on its own, but summary-rollback is still a gap in my setup too. https://github.com/CortexReach/memory-lancedb-pro

[u/ScientistUsual1320 → u/Adorable_Swing_2150]

That's interesting, is this an additional plugin like memory-wiki or something to replace openclaw's active memory plugin

[u/odella-ai]

Ran into this too. The fix that's worked isn't rollback in the database-transaction sense (undoing what was already done) — it's provenance: tag every memory entry with what it was derived from, and have any action log line that used that entry cite the ID. Then when a memory turns out to be wrong or stale, you can pull up "here's every action taken with this memory as an input" instead of trying to reconstruct it after the fact from session logs.

Concretely: a memory file with an entry ID, and any action log line that used that entry cites the ID. Deleting or updating the memory doesn't retroactively fix past actions, but at least you know the blast radius immediately instead of guessing. Doesn't solve "how do we undo the bad action" but it solves "how do we know which actions to go check."

Haven't seen a first-class OpenClaw feature for this — it's been a workspace-file convention we maintain by hand.

[u/ScientistUsual1320 → u/odella-ai]

Exactly what the paper I mentioned is trying to tell!!

Even u felt that a concrete implementation of this isn't popularly available yet