arXiv (All)
open access
Madeleine: Learning Involuntary Recall for Conversational Memory from Simulated Lives
A long-term conversational assistant must recall the right memory at the right moment, yet the memory that matters most is often not similar to what the user says now. Current systems recover such associations by letting an LLM reason at write or read time, at a cost of hundreds to over a thousand L
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
- JustMem: Just-Enough Memory Access for Long-Term Conversations#1014924
- T-Mem: Memory That Anticipates, Not Archives#985134
- UTILMEM: Benchmarking Evidence Utilization in Long-Term Conversational Memory#799702
- RuleMem: Active Rule Memory for Long-Term Conversational Agents#926782
- Forgetting our personal past: Socially shared retrieval-induced forgetting of autobiographical memories#771151
Record · ID 1156053
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