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0xMarioNawfal
0xMarioNawfal@RoundtableSpace·
Is your OpenClaw becoming slower with time? That’s because every cron job gets loaded into context Fix it with this prompt: “ Check how many session files are in ~/.openclaw/agents/main/sessions/ and how big sessions.json is. If there are thousands of old cron session files bloating it, delete all the old .jsonl files except the main session, then rebuild sessions.json to only reference sessions that still exist on disk." This will delete all the session data around your cron outputs. If you do a ton of cron jobs, this is a tremendous amount of bloat that does not need to be loaded into context and is MAJORLY slowing down your Openclaw If you for some reason want to keep some of this cron session data in memory, then don't have your openclaw delete ALL of them. But for me, I have all the outputs automatically save to a Convex database anyway, so there was no reason to keep it all in context.” Credits: @AlexFinn
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AIInsightDaily
AIInsightDaily@AIInsightDaily·
@RoundtableSpace Yeah, OpenClaw cron bloat is a silent killer thousands of tiny .jsonl files explode sessions.json and murder context loading speed. That cleanup prompt is gold: nuke old cron sessions, rebuild sessions.json lean. If you're already dumping outputs to Convex smart move,
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TheNEOarch
TheNEOarch@TheNEOarch·
@RoundtableSpace Context accumulation is a feature that becomes a bug at scale. The real moat isn't just what an agent can do — it's whether it does it efficiently after months of operation. Built-in lifecycle management = sustainable agents. Manual fixes = technical debt.
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BetMGM 🦁
BetMGM 🦁@BetMGM·
Pick which twin will win! You could score a share of $2 million in Bonus Bets.
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AISauce
AISauce@aisauce_x·
@RoundtableSpace context bloat is the silent killer of long running agents. the model doesn't get dumber. it gets slower and more expensive because it's dragging thousands of old cron sessions into every new call. cleaning sessions isn't maintenance. it's performance engineering
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GenAI Built
GenAI Built@GenAIbuilt·
@RoundtableSpace This is a good example of how “memory” becomes a liability at scale. Agent frameworks default to accumulating context, but without lifecycle management, you end up paying a performance tax. Feels like we’ll need built-in memory pruning strategies, not manual fixes like this.
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Nam Dinh
Nam Dinh@namd1nh·
@RoundtableSpace Interesting that the real fix is architectural, not operational. Offloading outputs to something like Convex and keeping the agent’s working memory minimal is closer to how real systems scale. Agents shouldn’t remember everything just what’s actionable right now.
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Vivek
Vivek@automate_with_v·
@RoundtableSpace So basically… OpenClaw is remembering too much 😂
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LightShift Studio
LightShift Studio@LightShiftHQ·
@RoundtableSpace Haha, OpenClaw thinks it's too cool for manual maintenance? 🤖 Let's declutter its brain! Try checking those .
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kiv1n
kiv1n@kiv1n·
@RoundtableSpace Reminds me of the days of low disk space and manual cleanup
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Crypto 💎Best
Crypto 💎Best@best_cryptobest·
@RoundtableSpace Performance issues can occur if excessive session data accumulates over time, so pruning or archiving old sessions is typically the practical way to maintain responsiveness.
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Inflectiv AI ⧉
Inflectiv AI ⧉@inflectivAI·
@RoundtableSpace This is a classic context bloat issue, too many session files being loaded over time kills performance. Cleaning old cron sessions keeps OpenClaw fast and efficient.
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Dairy Queen
Dairy Queen@DairyQueen·
Free Cone Day is here! Come celebrate with us at a DQ location on today by getting a FREE small vanilla cone 🍦
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