mlsanityData to 14 Oct 2026

StorySage: Conversational Autobiography Writing Powered by a Multi-Agent Framework

arXiv 2506.14159 ↗First posted 17 Jun 2025cs.HC cs.AI cs.MAcited by 4

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Abstract (arXiv)

Every individual carries a unique and personal life story shaped by their memories and experiences. However, these memories are often scattered and difficult to organize into a coherent narrative, a challenge that defines the task of autobiography writing. Existing conversational writing assistants tend to rely on generic user interactions and pre-defined guidelines, making it difficult for these systems to capture personal memories and develop a complete biography over time. We introduce StorySage, a user-driven software system designed to meet the needs of a diverse group of users that supports a flexible conversation and a structured approach to autobiography writing. Powered by a multi-agent framework composed of an Interviewer, Session Scribe, Planner, Section Writer, and Session Coordinator, our system iteratively collects user memories, updates their autobiography, and plans for future conversations. In experimental simulations, StorySage demonstrates its ability to navigate multiple sessions and capture user memories across many conversations. User studies (N=28) highlight how StorySage maintains improved conversational flow, narrative completeness, and higher user satisfaction when compared to a baseline. In summary, StorySage contributes both a novel architecture for autobiography writing and insights into how multi-agent systems can enhance human-AI creative partnerships.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 56 of its 136 references that are in the map. First posted on arXiv 17 Jun 2025.

Builds on

56 of 136 references.

References · 56

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 3.

4 papers.

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  2. 2026SenseWalk: Agent-Based Semantic Trajectory Simulation Powered by Large Language Models in Zoned Environmentscited by 0
  3. 2026VeriForge: Mitigating Latent Knowledge Gaps in Narrative Drafting via Mixed-Initiative Scaffoldingcited by 0
  4. 2026Towards Cognitive Process-Aware Proactive Writing Supportcited by 0