Files
agent/papers/items/2026-2606-29778-mandol-an-agglomerative-agent-memory-system-for-long-term-conversations.md
T
2026-07-08 12:25:30 +08:00

64 lines
1.4 KiB
Markdown

# Paper: Mandol: An Agglomerative Agent Memory System for Long-Term Conversations
---
type: paper
title: "Mandol: An Agglomerative Agent Memory System for Long-Term Conversations"
authors: Yuhan Zhang, Zhiyuan Guo, Ziheng Zeng, Wei Wang, Wentao Wu, Lijie Xu
year: 2026
venue: arXiv
url: https://arxiv.org/abs/2606.29778
code_url:
source: arxiv
collected_at: 2026-07-08
published_at: 2026-06-29
updated_at: 2026-06-29
status: queued
relevance: high
topics:
- agent-evaluation
- memory
- rag
methods:
-
benchmarks:
-
models:
-
datasets:
- cs.DB
- cs.AI
- cs.CL
- cs.IR
related_concepts:
-
related_jobs:
-
related_experiments:
-
related_projects:
-
collection_score: 15
collection_queries: agent-memory, rag-agent
---
## One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
## Why Collected
- matched queries: agent-memory, rag-agent
- inferred topics: agent-evaluation, memory, rag
- arXiv categories: cs.DB, cs.AI, cs.CL, cs.IR
- collection score: 15
## Review Checklist
- Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
- Does it include a benchmark, dataset, code, or reproducible experimental setup?
- Should it be promoted from `queued` to `skimmed` or `summarized`?
## Links
- arXiv: https://arxiv.org/abs/2606.29778