@code_rams:
https://x.com/code_rams/status/2025630269559185648
february 2026 ‧ twitter twitter-post imported ‧ open in karakeep
From X bookmark — @code_rams (Ramya Chinnadurai 🚀), Feb 22 2026
https://x.com/code_rams/status/2025630269559185648
Ramya Chinnadurai spent five days debugging memory issues in her OpenClaw agent, Chiti, which manages tasks like customer support and invoicing. She discovered that OpenClaw’s context compaction caused important details to be lost unless they were explicitly saved to disk before compression. She improved memory search by switching to a hybrid search backend and ensured the agent actively retrieved relevant context by adding explicit retrieval instructions. Finally, she streamlined Chiti’s system prompts, cleaned unused files, and implemented protocols for logging and handing over context to maintain consistent memory across sessions.
I Spent 5 Days Debugging My OpenClaw Agent’s Memory. Here’s Everything I Learned.
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