Hacker News with Generative AI: Memory Efficiency

Parameter-free KV cache compression for memory-efficient long-context LLMs (arxiv.org)
The linear growth of key-value (KV) cache memory and quadratic computational complexity pose significant bottlenecks for large language models (LLMs) in long-context processing.
Agno Agents startup 5000x faster than Langgraph, use 50x less memory (github.com/agno-agi)
Agno is a lightweight framework for building multi-modal Agents.