SuperOptiX brings end-to-end optimization to AI agents across 6 major frameworks. Build, evaluate, and optimize agents from any framework with a unified workflow powered by GEPA (Genetic-Pareto).
The first universal agent optimization framework that brings end-to-end optimization to AI agents across all major frameworks.
Unlike frameworks that only build agents, SuperOptiX makes optimization, evaluation, and quality assurance core to the development lifecycle. Whether you're using DSPy, OpenAI SDK, CrewAI, Google ADK, Microsoft, or DeepAgents, SuperOptiX gives you the power to optimize and deploy production-grade agents.
6 frameworks, one workflow
Universal optimization engine
Declarative specifications
Traditional agent frameworks leave critical gaps in the development lifecycle
Choose DSPy and you're locked in. Want to try CrewAI? Rewrite everything. Want to test OpenAI SDK? Start over. Framework vendor lock-in prevents innovation.
Define your agent once with SuperSpec. Deploy to any of 6 frameworks with one command. Try DSPy today, CrewAI tomorrow, OpenAI next week. Zero lock-in.
Manually tune prompts hoping for better results. No systematic approach. No metrics. No automation. Just trial and error that wastes weeks of engineering time.
One optimizer for ALL frameworks. Proven 37.5% → 80% improvement with just 3-10 examples. Automatic, systematic, framework-agnostic optimization.
Testing is an afterthought. No standardized way to validate agent behavior. Manual testing that doesn't scale. Ship and hope it works.
RSpec-style BDD testing built into the core. Define behavior scenarios, run automated evaluations, track metrics across iterations. Quality from day one.
Everything you need for production-grade agentic AI in one unified framework
RSpec-style BDD specifications with built-in testing and validation from day one. Define behavior scenarios, run automated evaluations, track metrics.
The world's first framework-agnostic optimizer. Automatic optimization across all 6 frameworks with proven results.
Choose from 6 major AI frameworks. One workflow, unlimited possibilities. Zero vendor lock-in.
Declarative YAML-based language for agent specifications. Think "Kubernetes for AI agents" - define once, deploy anywhere.
Systematic approach to delivering optimal information and tools to agents. RAG, MCP protocol, and memory optimization.
Progressive complexity from Oracles to Sovereigns with built-in safety. Free tiers and commercial tiers for enterprise.
A framework built for systematic optimization, not just prompt engineering
| Feature | Other Frameworks | SuperOptiX |
|---|---|---|
| 🎯 Evaluation-First | Add evaluation as an afterthought | Evaluation built into core development cycle ✅ |
| ✅ RSpec-Style BDD | Manual prompt engineering | Behavior-driven specifications with automated testing ✅ |
| 🧬 Universal Optimizer | Manual optimization or framework-specific tools | One optimizer for all frameworks (37.5% → 80%) ✅ |
| 🔬 Multi-Framework | Locked into one approach | Choose from 6 frameworks, optimize with one tool ✅ |
| 🚀 Production-Ready | Basic deployment capabilities | Built-in observability, guardrails, enterprise features ✅ |
Real results from production deployments across all supported frameworks
SuperOptiX optimizes every layer of your agentic stack with universal GEPA optimization
Framework-agnostic optimization means GEPA works the same whether you're using DSPy, CrewAI, OpenAI SDK, or any other framework.
No framework-specific tricks. No vendor lock-in. Just pure, portable optimization across your entire agentic stack.
True extensibility across three critical abstraction layers
Swap AI frameworks on demand
Currently supported: DSPy, OpenAI SDK, CrewAI, Google ADK, Microsoft Agent Framework, DeepAgents
Future ready: New framework? Add an adapter. Your agents keep working.
target_framework: any_frameworkSwap communication protocols
Currently supported: MCP (Model Context Protocol)
Future ready: A2A, custom protocols. Protocol-first design means seamless adoption.
protocol: mcp | a2a | customSwap optimization engines
Currently supported: GEPA, DSPy optimizers (BootstrapFewShot, MIPRO, MIPROv2)
Future ready: New optimizer research? Plugin system makes integration trivial.
optimizer: gepa | mipro | customYour agent context stays constant. Frameworks evolve. Protocols emerge. Optimizers improve.
SuperOptiX adapts without breaking your agents.
Built for today. Ready for tomorrow. Future-proof forever.