OpenClaw memory-core-plus: Closing the Last Mile of AI Memory
· 9 min read
I did a deep dive into OpenClaw's memory system architecture—from the 6-layer context protection mechanism to Hybrid Search internals, from Compaction's information loss patterns to local embedding model configuration. After setting up Qwen3-Embedding-0.6B, memory_search quality improved dramatically: exact keyword queries scored 0.74, and semantic understanding queries scored 0.85.
But in real-world usage, I found two "last mile" problems that remained unsolved.
