Memory Control Signals Emerge Before Action in Long Horizon Agents | Hacker News - But Better

Memory Control Signals Emerge Before Action in Long Horizon Agents arxiv.org

Long horizon language model agents continuously accumulate interaction history, increasing computational cost while making relevant information harder to preserve and reuse. Existing context management methods mainly…

2 points•simonpure•7 days ago•0 comments•

#agents #long #horizon #long horizon #signals #emerge #control #memory

0 comments

No comments yet.

Related stories

Emergent Collusion in Long-Horizon LLM Agent Interactionarxiv.org
Hacker News · 1 points · 8 days ago
Show HN: Groundtrack – Continual learning for coding agentsgroundtrack.dev
Hacker News · 1 points · about 12 hours ago
Graph World Models for Verified and Efficient Long-Horizon LLM Task Planningacademy.dair.ai
Hacker News · 1 points · 10 days ago
Launch HN: Magnitude (YC S25) – Self-optimizing inference engine for agentsgithub.com
Hacker News · 120 points · about 8 hours ago
Show HN: Foremerge – Catch intent conflicts between parallel coding agentsgithub.com
Hacker News · 45 points · 9 days ago
Agent's Memory Needs a Retention Policymemanto.ai
Hacker News · 1 points · 8 days ago