This is interesting as there is definitely a middle ground for agent memory. On the openclaw side you have a single MEMORY.md file on the other you have RAG and GraphRAG. I wonder if Agent memory should be more nuanced? When an agent learns something how should it promote or degrade these memory blocks - you don’t want a trading agent memorising a bad trading pattern, for example. Also the agent might want to recall semantically similar memories, but it might also want to retrieve block relationships or groups of blocks for different purposes. We’ve been exploring all these concepts with “elfmem” (sELF improving MEMory): https://github.com/emson/elfmem Would love your feedback!