REMORY: Learning Residual Memory for Context Compaction Paper • 2610.11287 • Published 19 days ago • 65
TokenEconomizer: Experience-Driven Black-Box Cost Control for Coding Agents Paper • 2610.22732 • Published 12 days ago • 6
DecisionPivot: A Diagnostic Benchmark for Decision Models in LLM Systems Paper • 2610.28522 • Published 7 days ago • 74
OpenVLHarness: Real World Visual Agentic Tool-Use with Multimodal Memory Paper • 2610.26860 • Published 8 days ago • 122
What Generation Knows: Unlocking Fine-Grained Understanding in Unified Multimodal Models Paper • 2610.23987 • Published 13 days ago • 44
OpenGCUA: Toward a Fully Open Stack for Generalist Computer Use Paper • 2610.22200 • Published 12 days ago • 106
RSIPO: Recursive Self-Improving Policy Optimization for Agentic Reinforcement Learning via Skill-Policy Co-Evolution Paper • 2610.15772 • Published 16 days ago • 9
Raven: The Harness of Harnesses for Composable Agentic Intelligence Paper • 2609.33439 • Published 30 days ago • 712
SolarRenderer: Few-Step Generative Reference Rendering Paper • 2610.28630 • Published 7 days ago • 53
WeVisOne-VL: Unified Visual Perception from Objects to Pixels Paper • 2610.31329 • Published 5 days ago • 252
Scaling in Games: Continued Pre-Training For Embodied Agents In Diverse Virtual Worlds Paper • 2610.28698 • Published 7 days ago • 78
StartLux-Decision: AutoThink Decision Models with Reinforcement Learning for Calibrated Deliberative Decisions Paper • 2610.17309 • Published 15 days ago • 81
Harness^2: Recursive Agent Harnessing for an Open World Paper • 2610.14224 • Published 18 days ago • 124
Agents-A1 Collection Agents-A1 is a Long-horizon Agentic Model that reaches trillion-parameter-level performance by scaling the agent horizon. • 12 items • Updated Jul 16 • 45