Multi-hour agent sessions need KV cache capacity no major AI provider offers yet
AccBalanced · x · 2026-10-04
- The author argues the foundation for agent success will be inference providers with enough KV cache memory capacity and bandwidth to support the full multi-hour / multi-day wall-clock time of today's and tomorrow's agent sessions.
- Anthropic, OpenAI, and Google don't have this yet, per the author.
- The author hints that one open-model inference provider, currently in @alexatallah's validation queue, already does.
More from coding & agent
- AI agent negotiates car lease and mortgage, saving 15-20% by voice — armand_ruiz · 2026-10-04
- Teknium says setting up Hermes with Discord is now less confusing and painful — Teknium · 2026-10-04
- Asking ChatGPT to remove a feature somehow adds 231 lines of code — rickasaurus · 2026-10-04
- Jensen Huang explains agent harness: the exoskeleton that makes LLMs useful — rohanpaul_ai · 2026-10-04
- Windows Defender flags 12 filenames in a test DLL; a JSON repack clears scans — bytebot · 2026-10-04
- Vitalik's privacy-preserving personal AI: local Qwen orchestrator + zkAPI + Tor, no data leaks — kenziyuliu · 2026-10-04