arXiv (All)
open access
MEMO: Multimodal Evidence Memory Organization for Long-Horizon LLM Agents
Long-running LLM agents rely on external memory to store and reuse information beyond a single context window, yet there is a fundamental tension between the continuous accumulation of interaction trajectories and the limited context capacity. The key challenge in agent memory is therefore not only
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- MemoryLACE: Memory Lifecycle-Aware Consolidation and Evidence Retrieval#925562
- AMA: Adaptive Memory via Multi-Agent Collaboration#984973
- MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-Evolution#927262
- Useful Memories Become Faulty When Continuously Updated by LLMs#793669
- Useful Memories Become Faulty When Continuously Updated by LLMs#789665
Record · ID 984392
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive