Why AI Agents like OpenClaw Burn Through Tokens and How to Cut Costs

What this post added

Introduces 'memsearch' as a solution for persistent, editable AI agent memory to reduce token costs. Discusses the limitations of current AI agent search and memory mechanisms, proposing hybrid search (BM25 + vector search) as a solution. Details tools like index1, QMD, and Milvus for implementing hybrid search at various scales, with a focus on Milvus for team and enterprise deployments.