arXiv (All)
open access
EdgeMem: LLM-Free Agent Memory Construction and Retrieval via Evidence-Preserving Multi-Anchor Hypergraph
Agent memory allows LLM agents to use earlier interactions when answering new queries. Existing methods often compress interaction histories into summaries or other LLM-generated representations. Repeated generation adds cost and can discard answer-bearing details before the system knows what a futu
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
- Selective Forgetting: A Graph-Based Memory Framework for Long-Term LLM Agents#793205
- Selective Forgetting: A Graph-Based Memory Framework for Long-Term LLM Agents#789201
- HyperSU: Corpus-Driven Semantic-Unit Hypergraph for Retrieval-Augmented Generation#1117485
- LifeMem: Enabling Lifelong Experience Reuse for LLM Agents#1070141
- Total Recall QA: A Verifiable Evaluation Suite for Deep Research Agents#1069764
Record · ID 972612
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