RAG, Fine-Tuning & ContextYi Yu et al.

Agentic Memory

Made by AIWritten by AI (Claude) from the source below. Check anything important against the source.How it's made

Published "Agentic Memory" — exposes storing, retrieving, updating, summarizing and discarding as tool calls, and trains them with step-wise reinforcement learning

Why it matters

A case in which what to remember and what to discard is learned rather than decided by people

Source — Primary sources first; secondary reports are labelled “Press”

Paperarxiv.orghttps://arxiv.org/abs/2601.01885

Added in Week 35, 2026 · See that week

On the map — ② RAG, Fine-Tuning line

  1. Previous stopContext editing and memory tool launch in beta on the Claude API
  2. This recordAgentic Memory
  3. Next stopMishra et al. publish SoK: Agentic Retrieval-Augmented Generation
See it on the map

Same week

Uygar Kurt publishes a unified evaluation of llama.cpp quantizationPaperDon't Break the CachePaperMiniMax lists on the Hong Kong exchangePressZ.ai lists on the Hong Kong Stock ExchangeOfficial

Nearby on the same axis

Don't Break the CachePaperActive Context CompressionPaperIs Agentic RAG worth it?PaperMishra et al. publish SoK: Agentic Retrieval-Augmented GenerationPaper