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Long-Term Agentic Memory Systems

BACKGROUND
3 SIGNALSFIRST DETECTED 5 May 2026UPDATED 7 October 2026
Narrative synthesis pending — 3 signals collected.
How the story developed
2 Oct
MemFit: Efficient Long-Term Agentic Memory
REPORT · WHAT · ArXiv CS.AI
4.8
24 Jul
5 May
6.7
Other feeds and industry voices
25 Mar
PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments

arXiv:2603.23231v1 Announce Type: new Abstract: Empowering large language models with long-term memory is crucial for building agents that adapt to users' evolving needs. However,

REPORT · HOW · ArXiv CS.AIOPEN STORY
20 Mar
Memento-Skills: Let Agents Design Agents

arXiv:2603.18743v1 Announce Type: new Abstract: We introduce \emph{Memento-Skills}, a generalist, continually-learnable LLM agent system that functions as an \emph{agent-designing

REPORT · WHERE · ArXiv CS.AIOPEN STORY
8 Jul
Akashic: A Low-Overhead LLM Inference Service with MemAttention

arXiv:2607.05708v1 Announce Type: new Abstract: Recent LLM-based agent systems continuously accumulate context across multi-turn interactions, tool invocations, and cross-session

REPORT · WHAT · ArXiv CS.AIOPEN STORY
14 Apr
MEMENTO: Teaching LLMs to Manage Their Own Context

arXiv:2604.09852v1 Announce Type: new Abstract: Reasoning models think in long, unstructured streams with no mechanism for compressing or organizing their own intermediate state.

REPORT · HOW · ArXiv CS.AIOPEN STORY
2 Apr
OmniMem: Autoresearch-Guided Discovery of Lifelong Multimodal Agent Memory

arXiv:2604.01007v1 Announce Type: new Abstract: AI agents increasingly operate over extended time horizons, yet their ability to retain, organize, and recall multimodal

REPORT · WHAT · ArXiv CS.AIOPEN STORY
1 May
Contextual Agentic Memory is a Memo, Not True Memory

arXiv:2604.27707v1 Announce Type: new Abstract: Current agentic memory systems (vector stores, retrieval-augmented generation, scratchpads, and context-window management) do not

REPORT · WHAT · ArXiv CS.AIOPEN STORY
12 May
MemQ: Integrating Q-Learning into Self-Evolving Memory Agents over Provenance DAGs

arXiv:2605.08374v1 Announce Type: new Abstract: Episodic memory allows LLM agents to accumulate and retrieve experience, but current methods treat each memory independently, i.e.,

REPORT · WHAT · ArXiv CS.AIOPEN STORY
25 Sept
Scope Before You Persist: Preventing Cross-Family Interference in Agent Memory

arXiv:2609.29144v1 Announce Type: new Abstract: Persistent memory lets language-model agents improve prompts and skills without updating model weights. We show that matching

REPORT · HOW · ArXiv CS.AIOPEN STORY
Sources
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