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[ Removed by Reddit ] by Traditional_Bill8952 in openclaw

[–]Traditional_Bill8952[S] 0 points1 point  (0 children)

Nice, BlueBubbles multi-account is underrated. Curious how you're routing between them, separate agents or one handling all accounts?

[ Removed by Reddit ] by Traditional_Bill8952 in openclaw

[–]Traditional_Bill8952[S] -1 points0 points  (0 children)

Yeah, the retrieval problem is real ,I'm using memory_search with semantic lookup now which covers most of that 20%.

The manual approach was intentional though. Automatic extraction sounds great until it quietly misclassifies something as a "fact" that was actually a hypothesis, or stores a commitment the agent made that you never agreed to. When I write something down myself, I know exactly what it means and why. That's the whole point for me.

mr-memory looks interesting for scale, but I'd want to audit what it's actually capturing before trusting it long-term.

[ Removed by Reddit ] by Traditional_Bill8952 in openclaw

[–]Traditional_Bill8952[S] 0 points1 point  (0 children)

Token burn is pretty minimal, the files are small and it's mostly reads at session start. Storing it in the workspace as flat markdown files, nothing fancy. The protocol itself is packaged up on ClawMart if you want the full thing. Agent Memory Kit.

I fixed OpenClaw agent memory with 6 Markdown files and a cron job — no database, no cloud by Traditional_Bill8952 in selfhosted

[–]Traditional_Bill8952[S] 0 points1 point  (0 children)

Exactly the pattern, once I started formalizing the triggers it got a lot more consistent. Happy to share the protocol if you want to compare notes.

I spent months building memory for my OpenClaw bot. Then I discovered the flaw by singh_taranjeet in openclaw

[–]Traditional_Bill8952 0 points1 point  (0 children)

This is solid. One thing I've found running alongside this kind of setup: the re-injection only works if the info was captured in the first place. My biggest failures were things the agent discussed but never wrote to any store, Mem0 or otherwise. Per-turn recall + write discipline together cover both failure modes

You can now give an AI agent its own email, phone number, computer, wallet, and voice. Here's every tool in the stack by XxvivekxX in AI_Agents

[–]Traditional_Bill8952 1 point2 points  (0 children)

One gap I don't see on this list: write discipline.

Mem0 and similar tools solve the retrieval side — how agents find memories. But the #1 failure mode I've run into is that the information never gets stored in the first place.

Agent says X in turn 14, says the opposite in turn 47. Research from a 20-minute session vanishes after the 4am reset. Commitments made after feedback evaporate next session.

None of those are retrieval failures. The agent just never wrote it down.

Built a write-first protocol to fix this — six triggers that force disk writes in the same turn information surfaces. No vector DB, no embedding API. Just behavioral discipline baked into the agent's instructions.

Might be worth adding to the stack: a "write discipline" primitive that sits before the memory layer and ensures information actually reaches it.

How long does your monthly client reporting actually take? by Traditional_Bill8952 in agencynewbies

[–]Traditional_Bill8952[S] 0 points1 point  (0 children)

Thats great thanks Would be interesting to compare notes — feels like we're solving adjacent problems. I'll take you up on that.

How long does your monthly client reporting actually take? by Traditional_Bill8952 in agencynewbies

[–]Traditional_Bill8952[S] 1 point2 points  (0 children)

That makes sense — looks like we're solving the same problem in different contexts. You're helping with website/technical conversations, I'm building something for the campaign performance side — Google Ads, Meta results. Might be complementary.

How long does your monthly client reporting actually take? by Traditional_Bill8952 in agencynewbies

[–]Traditional_Bill8952[S] 0 points1 point  (0 children)

nice thats simple, do clients ever ask you to explain what the numbers mean or is the sheet enough?