SuperAGI Research

A hub for SuperAGI’s latest research, insights, and breakthroughs in agentic AI

Trained Miniatures: Low cost, High Efficacy SLMs for Sales & Marketing

SuperCoder2.0: Technical Report on Exploring the feasibility of LLMs as Autonomous Programmer

Safeguarding AI Agents: Developing and Analyzing Safety Architectures

V-Zen: Efficient GUI Understanding and Precise Grounding With A Novel Multimodal LLM

GUIDE: Graphical User Interface Data for Execution

AUTONODE: A Neuro-Graphic Self-Learnable Engine for Cognitive GUI Automation

VEagle: Advancements in Multimodal Representation Learning

Recursive Agent Trajectory Fine-Tuning: Utilizing Agent Instructions for Enhanced Autonomy and Efficiency in AI Agents