agent/papers/items/2026-2606-10677-infini-memory-maintainable-topic-documents-for-long-term-llm-agent-memory.md

Paper: Infini Memory: Maintainable Topic Documents for Long-Term LLM Agent Memory

---

type: paper title: "Infini Memory: Maintainable Topic Documents for Long-Term LLM Agent Memory" authors: Suozhao Ji, Baodong Wu, Zehao Wang, Lei Xia, Qingping Li, Ruisong Wang, Wenbo Ding, Zhenhua Zhu, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.10677 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-09 updated_at: 2026-06-09 status: skimmed relevance: high topics:

• agent-evaluation
• memory
• rag
• tool-use methods:
• topic-documents
• buffered-consolidation
• agentic-retrieval benchmarks:
• MemoryAgentBench
• LongMemEval models:

datasets:

• cs.AI
• cs.CL related_concepts:
• semantic-memory
• selective-forgetting related_jobs:

related_experiments:

• KC-001-agent-memory-pilot related_projects:
• learning/agent-memory collection_score: 18 collection_queries: agent-memory

---

One-line Takeaway

长期事实应被维护为带证据和时间的主题文档，并允许 Agent 多步检查，而不是只保存孤立记录和一次检索结果。

Pilot Skim

• problem: 孤立记录难以聚合证据、修订事实和维护跨 session 一致性。
• method: observation 先进入 buffer，再巩固到 topic documents；读取时迭代 search、grep 和 read_lines。
• evidence: MemoryAgentBench overall 64.7；LongMemEval 上 summary-only 41.7、summary+BM25 76.0、agentic 79.3。
• boundary: multi-hop selective forgetting 仍困难；多步 retrieval 和周期维护增加计算成本。

Used In

• Agent Memory evidence matrix

Links

• arXiv: https://arxiv.org/abs/2606.10677