๐Ÿงช Research Hub

๐Ÿ“„ Research Papers
๐Ÿ› ๏ธ Open Source Tools
๐Ÿ”ฌ Cutting-Edge Research

Discover Superagentic AI's comprehensive research initiatives in Agentic AI, Quantum computing, memory systems, and evaluation frameworks.

5+
Research Papers
3
Open Source Projects
4
Research Areas
2025
Published Works

๐Ÿ”ฌ Our Research Initiatives

Explore our comprehensive research programs pushing the boundaries of Agentic AI, Quantum computing, and evaluation frameworks.

SuperOpt Research

Agentic Environment Optimization

Unified framework for optimizing agent environments (prompts, tools, retrieval, memory) without modifying model parameters. Introduces the first comprehensive approach to full-stack agentic system optimization.

๐Ÿ“„ Key Publications:

SuperOpt: Agentic Environment Optimization for Autonomous AI Agents
Published Research Paper Available
Explore โ†’

SuperMem Research

Memory Systems & Architectures

Research on memory systems, architectures, and patterns for AI agents. Optimizable agent memory with advanced memory management, retrieval systems, and cognitive architectures.

๐Ÿš€ Featured Projects:

SpecMem
AgentVectorDB
Published Research Available
Explore โ†’

Super Quantum AI Research

Quantum AI SDKs & Frameworks

Analysis and unification of Quantum AI SDKs for seamless quantum-agentic systems. Research on quantum computing applications and hybrid quantum-classical architectures.

๐Ÿš€ Featured Projects:

SuperQuantX
Published Framework Available
Explore โ†’

SuperPapers

Research Papers & Publications

Comprehensive collection of research papers, white papers, and technical insights on agentic AI. Featuring peer-reviewed publications, arXiv submissions, and groundbreaking research.

๐Ÿ“„ Key Publications:

Agentic Co-Intelligence
SuperOpt Paper
SuperMem Research
Multiple Publications Available
Explore โ†’

๐Ÿ“š Featured Publications

Our latest research papers and white papers that are shaping the future of Agentic AI.

SuperOpt: Agentic Environment Optimization for Autonomous AI Agents

Research Paper
December 2025

Introduces the first unified framework for optimizing entire agent environments without model retraining.

By Shashi Jagtap & Superagentic AI Research TeamDownload

Agentic Co-Intelligence

White Paper
May 2025

Designing human + AI systems that reason, revise, and reflect together.

By Superagentic AIDownload

๐Ÿš€ Open Source Projects

Practical implementations of our research, available as open-source tools for the AI community.

SuperQuantX

Quantum AI Framework

Released
Learn More โ†’

SpecMem

Memory Specification Framework

Available
Learn More โ†’

AgentVectorDB

Memory Core for Agentic AI

Available
Learn More โ†’

๐Ÿค Collaborate With Us

We're always looking to collaborate with researchers, institutions, and organizations pushing the boundaries of AI. Join us in advancing the science of intelligence.