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AI Agent Papers·2026
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NorthCUA Technical Report: Turbocharging Computer-Use Agents through Experience at Scale

Chaoyun Zhang, Bingxuan Li +28

Trains computer-use agents on verified trajectories from long interactions, connecting task generation, execution, evaluation, and policy improvement in a feedback loop. Reports Nano, Mini, and Pro models across desktop and web benchmarks.

#paper#ai-agent#long-horizon#evaluation#RL+2
AI Agent Papers·2026
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Democratizing Robot-Use Agents: A Unified Harness with Open Models

Jiarui Yuan, Yuxin Zuo +26·Tsinghua University, Berkeley (*Core Contributor)

Provides a unified tool and execution harness for open-weight language models to operate robots and support further training. The paper reports a RoboDojo score of 31.39 for Qwen3.8-Flash-Next and competitive results across 19 real-world tasks.

#paper#robotics#embodied-ai#qwen#evaluation+2
AI Agent Papers·2026
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CUA-Master: Scaling Computer-use Agents through Open-World Recursive Improvements

Xinlei Yu, Gen Li +16·MMLab, CUHK +4

Mines real computer-use workflows from instructional videos, turns them into reusable skills, and composes them into verifiable tasks. An open-data and model-feedback loop guides each round of dataset expansion.

#paper#ai-agent#evaluation#benchmark#RL+1
AI Coding·2024
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Bolt

StackBlitz

Turns plain-language prompts into working websites, web apps, and mobile apps in the browser. Chat-driven code generation, live preview, hosting, databases, and GitHub/Figma imports help builders move from idea to shipped project without local setup.

#ai-tools#ai-coding#vibe-coding#ai-agent
AI Coding·2024
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Replit Agent

Replit, Inc.

Turns plain-language app ideas into working software inside a browser workspace, then lets users preview, debug, and deploy without leaving the platform.

#ai-tools#ai-coding#vibe-coding#ai-agent
AI Agent·2023
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Mem0

Taranjeet Singh, Deshraj Yadav

Memory layer that lets AI agents remember users and context across sessions.

#ai-development#ai-framework#ai-library#ai-agent#LLM
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