arXiv (All)
open access
The Value of Memory in Language Agents
Memory enables language agents to carry useful distinctions from past experience into future decisions. Its value depends on which distinctions survive, whether a bounded agent can use them, and what can be recovered or revised as demands evolve. We develop a decision-theoretic framework that follow
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
- Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents#927341
- Beyond Dialogue Time: Temporal Semantic Memory for Personalized LLM Agents#821767
- Just-in-Time Memory: Learning to Curate Task-Adaptive Memory for LLM Agents#1063545
- MemCo: Memory-Centric Collaboration for Generalizing LLM Agents to Unseen Environments#1216751
- Rethinking How to Remember: Beyond Atomic Facts in Lifelong LLM Agent Memory#1403104
Record · ID 1424421
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