🚀We’re excited to officially release Hy-Memory — a powerful memory plugin built specifically for long-term collaborative Agents like OpenClaw.
More than a retrieval tool, it becomes your Agent’s true “Second Brain.”
Powered by a 6-layer memory framework × System1/System2 dual system × three-layer evolutionary chain, Hy-Memory lets Agents remember durably, accurately, lightly, and understand you better.
➡️Solves memory fragmentation
➡️70%+ fewer memories
➡️45%+ higher info density per memory
➡️35% less token usage on ultra-long contexts
➡️20% faster memory updates.
Upgrade your Agent’s memory today!
📷Project & Download:
https://t.co/piMh6BzRGr
📷 OpenClaw Docs:
https://t.co/ebQ7bN1Ga8
token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
Why it matters
Memory bloat is what makes long-lived agents slow and expensive; this attacks it by consolidating rather than accumulating, with a reported 35% tokenThe chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.Full definition → reduction on ultra-long contexts and documented OpenClaw integration.
articleFilesystem-Based Memory for LLM Agents: Organization, Evolution, and SustainabilitySizhe Zhou, Sheldon Yu, Hui Wei, Junda Wu, Siru Ouyang, Yizhu Jiao, Shijia Pan, Julian McAuley, Yu Zhang, Tong Yu, Jiawei Han
repoMemanto Is a Memory Agentsupportm