🎓 SuperPapers
Research from Superagentic AI HQ
Peer-reviewed. Field-shaping. Authentically human.
🎓 What is SuperPapers?
SuperPapers is the research home of Superagentic AI, where we publish official white papers, arXiv submissions, and deep technical insights behind our agentic frameworks.
SuperOpt Research
Agent environment optimization frameworks and techniques
SuperMem Research
Memory systems, architectures, and optimization patterns
Quantum AI Research
Quantum computing applications and SDK analysis
Evaluation Research
Agent evaluation protocols and governance frameworks
🧪 Research Papers
Hosted on arXiv.org, these works are peer-reviewed or preprints that bring Agentic AI + Quantum AI to the broader scientific community.
SuperOpt: Agentic Environment Optimization for Autonomous AI Agents
A 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.
✅ Unified framework for optimizing entire agent environments
✅ No model retraining required - environment-level optimization
✅ Comprehensive coverage: prompts, tools, retrieval, memory
✅ Built on GEPA, ACE, DSPy research foundations
✅ Automatic failure diagnosis and routing
✅ Stability guarantees prevent optimization oscillation
✍️ Shashi Jagtap & Superagentic AI Research Team
🗓️ December 2025
25 min read
The SuperGauge Protocol
Open Agent Quality Record specification
✅ Versioned release evidence
✅ Deterministic gate results
✅ Decision ownership
✅ Open conformance checks
✍️ Superagentic AI
🗓️ September 2026
📄 White Papers
Bold ideas. System proposals. Strategic frameworks.
✅ Published Papers
Agentic Co-Intelligence
Designing human + AI systems that reason, revise, and reflect together
✍️ Superagentic AI
🗓️ May 2025
5 min read
📋 Research Status
Recent Updates: SuperMem research has been published. The SuperGauge Agent Quality Record specification is available as a public draft.
| Paper Title | Type | Status |
|---|---|---|
| SuperOpt: Agentic Environment Optimization for Autonomous AI Agents | Research Paper | Published |
| The SuperGauge Protocol | Research Paper | Published |
| Agentic Co-Intelligence | White Paper | Published |
⚛️ SuperQX
Quantum Exchange / Quantum Experience - Where Quantum meets Agentic AI
SuperQX is Superagentic's dedicated research and experimental platform at the frontier of Quantum + AI. We're building software intelligence for an era where your agents won't just run on CPUs and GPUs, but on QPU-powered compute.
🧰 Quantum AI SDKs We Track
- • Qiskit (IBM) - Gate-based circuits, simulators, QML
- • PennyLane (Xanadu) - Differentiable QML, Hybrid quantum-classical
- • Cirq (Google) - NISQ circuits, Quantum supremacy
- • Braket SDK (Amazon) - Cloud-native quantum compute
- • Ocean SDK (D-Wave) - Quantum annealing, optimization
🔬 Research Areas
- • Quantum-Inspired Agentic Systems
- • Quantum Neural Networks (QNNs)
- • QuantumML for AI Training
- • Quantinuum and AI Integration
SuperQuantX - Coming Q3 2025
The Agentic Quantum SDK, designed by Superagentic AI. Seamless experimentation across major QML SDKs, circuit optimization for agent workflows, and quantum error mitigation specialized for AI.
Explore SuperQX🧭 SuperGauge
An open format documenting the evidence and approval behind an agent release.
SuperGauge defines the Agent Quality Record. It links the agent version, permissions, dataset, measures and gate results to a release decision and rollback reference.
What the record contains
- Agent version and recorded permissions
- Versioned task set and evaluation results
- Release decision, approver and rollback reference
Implementation status
- Public draft specification and conformance suite
- SuperQode supports L2 records
- SuperOptiX evaluation records emit at L1
Public draft specification
The public draft includes the schema, measure registry and conformance checker. Teams can emit records from their existing evaluation stack.
Read the SuperGauge protocol🧪 SuperXLab
The Evaluation Engine Behind Agentic Adoption - Where the future of agentic tooling is tested, verified, and stress-tested.
SuperXLab is Superagentic's internal lab for evaluating agentic tools, frameworks, and techniques. It acts as a bridge between discovery and adoption, ensuring only the most battle-tested innovations advance.
Research
Exploring frontier AI capabilities
Development
Building practical tools
Open Source
Contributing to the ecosystem
🔄 Research Process
Discovery Phase: Research teams identify promising technologies and methodologies worth exploring.
Experimentation: Rapid prototyping and testing to validate hypotheses and identify limitations.
Development: Converting promising prototypes into robust tools and frameworks.
Open Release: Publishing tools and findings to the wider AI community for feedback and collaboration.
Explore SuperXLab
SuperXLab features our most innovative projects, pushing the boundaries of what's possible with agentic systems and quantum computing.
Enter SuperXLab📣 Want to Collaborate?
🔍 Researchers
In agentic AI, evaluation, or quantum ML
🎓 Academics
Looking for impactful publication collabs
📚 Students
Ready to contribute to real-world AI
🔗 Explore Our Research Areas
Our research spans multiple dimensions of agentic AI. Explore our specialized research areas to dive deeper into specific topics.
⚡ SuperOpt
Full-stack agentic system optimization research covering prompts, RAG, tools, protocols, and memory.
Explore SuperOpt🧠 SuperMem
Research on memory systems, architectures, and patterns for AI agents with optimizable memory.
Explore SuperMem⚛️ Super Quantum AI
Research focused on analyzing and unifying Quantum AI SDKs for agentic systems.
Explore Quantum AISuperPapers is a part of the broader Superagentic AI mission:
Tools for the Agentic Future. Built on Research. Guided by Evaluation.