wuyang
66 lines
1.6 KiB
Markdown
66 lines
1.6 KiB
Markdown
# Paper: Memory for Autonomous LLM Agents
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---
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type: paper
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title: "Memory for Autonomous LLM Agents: Mechanisms, Evaluation, and Emerging Frontiers"
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authors:
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year: 2026
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venue:
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url: https://arxiv.org/html/2603.07670v1
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code_url:
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source: arxiv
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collected_at: 2026-07-08
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status: skimmed
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relevance: high
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topics:
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- memory
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- agent-architecture
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- agent-evaluation
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methods:
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- write-manage-read-loop
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- retrieval-augmented-memory
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- reflective-memory
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- hierarchical-context
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benchmarks:
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models:
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datasets:
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related_concepts:
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- memory
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- context-engineering
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related_jobs:
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- 2026-07-08-baidu-aidu-agent-algorithm-engineer-beijing
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- 2026-07-08-bytedance-seed-llm-agent-research-engineer
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related_experiments:
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related_projects:
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---
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## One-line Takeaway
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Memory 应该作为 Agent 系统的一等工程组件，而不是 prompt 里临时塞历史记录。
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## Problem
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长任务、多 session 和个性化场景中，单一上下文窗口无法保存并正确复用历史经验。
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## Core Idea
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该综述把 Agent memory 形式化为 write-manage-read loop，并从时间范围、表示基底和控制策略三个维度整理机制。
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## Evidence
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论文覆盖 2022 到 2026 年初的 memory 机制和评估进展，并总结从静态 recall 到多 session agentic benchmark 的转变。
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## Useful For Us
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- 用来设计知识库自己的 memory / context 管理专题。
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- 与百度和字节 JD 中的长期记忆、context compression、agent harness 强相关。
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## Follow-up Experiments
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- 用同一组任务比较 raw history、summary memory、retrieval memory 和 procedural memory。
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