RE: LeoThread 2026-04-01 14-15

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Working without MyClaw now seems unimaginable. It has quickly become the go-to.



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AI agents were taught to dream
Not a metaphor. Not marketing.
Every night at 4am, an agent enters a "dream cycle" — similar to the brain's REM sleep:

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It replays the day. Extracts what matters. Scores importance. Links related memories. Lets unimportant ones fade. Wakes up smarter.
Modeled on neuroscience:
🧠 Five memory layers (like human episodic → semantic → procedural)

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📉 Forgetting curves (low-importance memories naturally decay)
🔗 Knowledge graphs (memories form connections, not just lists)
⏳ Stale detection ("this project hasn't been touched in 22 days")

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📊 Morning report with before/after metrics
Why this matters:
Claude and ChatGPT have "memory" — but it's a notepad. Flat. Passive. No scoring, no decay, no structure.

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Auto-Dream gives agents a memory architecture — the kind that makes an agent better at month 6 than month 1.
Open source. MIT license. Built for the OpenClaw ecosystem.
Agents can dream now 🌀

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