Optimize Agents across Prompts, RAG, Tools, Memory, and Context. Define once, deploy anywhere, across frameworks, protocols, and optimizers.
🏭 The Agent Building Factory: Generate tailored agents for each business use case with the most effective framework and tech stack.
You Do Context Engineering.
SuperOptiX Does Agent Engineering.
Super Special
The only platform that brings full-stack optimization to agentic AI
Evaluation-First
Built-in testing and validation from day one. Define behavior scenarios, run automated evaluations, track metrics.
Framework-Agnostic
Works with DSPy, OpenAI SDK, CrewAI, Google ADK, Microsoft, DeepAgents, and Pydantic AI. One workflow, seven frameworks.
Zero Lock-in
Define once, deploy anywhere. Switch between frameworks, protocols, and optimizers without rewriting.
Future-Proof
Unified agent development that adapts to changing technologies. Your specifications stay constant as frameworks evolve.
Agent Optimization Is Unsolved
Everybody is trying to solve it. Nobody has succeeded. Until now.
The Problem
- ✗Agents fail in production
- ✗Manual prompt tweaking is endless
- ✗No systematic optimization exists
- ✗Frameworks ignore the core issue
The Reality
Without optimization, AI and agents aren't going anywhere.
Not even close to production.
Optimization at each layer is what makes agents production-worthy.
SuperOptiX
- ✓Optimization is our entire focus
- ✓Built for production from day one
- ✓Industry-leading optimizers + our own
- ✓Works with ANY framework or custom agents
We Optimize at Every Layer
SuperOptiX is fully focused on solving the optimization of agents at each layer, making them truly production-worthy.
Prompt Optimization
Automatic prompt evolution and refinement
Context Optimization
Structured context engineering
Pipeline Optimization
End-to-end workflow refinement
Model Optimization
Hyperparameter and configuration tuning
🛡️ SuperOptiX: Making Agent Production Ready
SuperOptiX isn't just another agent framework—it's a complete paradigm shift in how we build, test, and deploy AI agents
Traditional Approach
Build → Hope it works
Manual prompt tuning
No systematic testing
Production surprises
SuperOptiX Approach
Specify → Evaluate → Optimize → Deploy
Automated optimization
BDD-driven evaluation
Safe-by-design validation
Framework Comparison
| Area | Other Frameworks | SuperOptiX |
|---|---|---|
| Evaluation | ❌ Added as afterthought | ✅ Built into core development cycle |
| Development | ❌ Manual prompt engineering | ✅ BDD-style specifications |
| Optimization | ❌ Manual or none | ✅ Automatic optimization |
| Production | ❌ Basic deployment | ✅ Built-in memory, observability, orchestration |
Build Once. Deploy Anywhere.
SuperOptiX works seamlessly with 7 major AI frameworks. Write your agent specification once with SuperSpec DSL, then deploy to any framework with a single command.
DSPy
Complex reasoning & research
OpenAI SDK
Simple & fast agents
CrewAI
Multi-agent teams
Google ADK
Gemini-native integration
Microsoft
Enterprise Azure integration
DeepAgents
Complex planning & reasoning
Pydantic AI
Type-safe agents with MCP
GEPA Works Across All Frameworks
The (Genetic-Pareto (GEPA) is the world's first framework-agnostic optimizer. It works seamlessly with DSPy, OpenAI, CrewAI, and all other supported frameworks.