Seven structured benchmark runs in. Neural recall scores 7/7 on every meaningful retrieval challenge — paraphrase, fuzzy match, cross-domain inference, negation, idiomatic phrasing, cross-language — across four consecutive runs. Flat-file still wins on structured key lookups. Here’s what to use for what.
Read more →Million-token context windows are great for one-shot reasoning over a big input. Neural Memory is for recurring facts you don’t want to reload every turn — saved once, recallable in about a second across sessions and machines.
Read more →A deep dive into the OpenClaw memory pipeline — short-term capture, consolidation, promotion to MEMORY.md, and recall through the context engine. With diagrams.
Read more →MyClaw hosts OpenClaw for you. MemoryClaw backs it up. Two products with similar names solving very different problems — here’s how to choose.
Read more →A transparent look at MemoryClaw's zero-knowledge encryption: AES-256-GCM, scrypt key derivation, and why even a full server breach can't expose your data.
Read more →You spent weeks customizing OpenClaw. New laptop, fresh install — and it's all gone. Here's why backing up your AI assistant matters more than you think.
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