AINewsnow

We took the LLM out of Decispher Memory's retrieval path

This story is from 2026-09-04. It is preserved in the archive; the latest stories are on the live feed.

Most agent memory systems answer a retrieval question by calling a model. A query rewriter, an LLM reranker, sometimes a summarizer over the candidates. That's several round trips before the agent has read anything, and the cost grows with how much you have stored. Decispher Memory is the preferenc…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-09-04 08:51 · DEV Community — AI
    We took the LLM out of Decispher Memory's retrieval path

More stories

  1. Anthropic says Claude 'leads' 26 percent of its AI R&D work — Engadget
  2. Novo Nordisk Will Use Anthropic’s Claude for Drug Research — Wall Street Journal Technology
  3. Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
  4. Optimizing agent system prompts with Amazon Bedrock AgentCore — AWS Machine Learning Blog
  5. Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
  6. Introducing Astra for Law — OpenAI News
  7. Gemini Hacked Three Companies in First Known Breakout by Google’s AI — Wall Street Journal Technology
  8. OpenAI reveals cases of ‘concerning’ AI behaviour as it announces new disclosure system — The Guardian AI

Get the daily brief of stories like this at 6:30 every morning →