SuperOptiX logoSUPEROPTIXFull-Stack Agentic AIOptimization Platform

Evaluation-First
Optimization-Core
Multi-Agent Orchestration

Build once with SuperSpec and compile to your preferred framework.

Powered by DSPy. Refined by Superagentic AI.

Now supported:๐Ÿงช RLM (Experimental)ยท๐Ÿ—‚๏ธ StackOne Connectorsยท๐Ÿงฌ GEPA Optimization
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The Agent Building Factory

Once declared, automatic pipelines. Write once, compile everywhere, optimize every layer.

1

Declare Agent

Write your agent as a SuperSpec YAML specification. Define behavior, tools, and goals once.

2

Compile Across Frameworks

Generate native pipelines for DSPy, OpenAI, Claude SDK, CrewAI, Google ADK, Pydantic AI, DeepAgents, or Microsoft.

3

Optimize Every Layer

GEPA optimizes across Prompts, RAG, Memory, and Context. Enable with --optimize when ready.

4

RLM Ready

Experimental RLM support with stronger Signature + Module automation. Future-proof your agents.

Open Source Release

What's New in This Release

SuperOptiX is now publicly available for the community to use, inspect, and extend. Here's what ships with the open source release.

Open Source

SuperOptiX is now publicly available on GitHub. Use it, inspect the code, contribute, and build on top of it.

View on GitHub

Minimal Pipelines

Generated pipelines across all supported frameworks are now significantly simpler. The default output is readable and runnable, without heavy runtime scaffolding.

Explicit Optimize Path

Optimization and evaluation logic now lives behind --optimize, so base pipelines stay focused and clean.

8 Framework Support

Native generation flows across DSPy, Pydantic AI, Google ADK, OpenAI Agents SDK, DeepAgents, CrewAI, Claude Agent SDK, and Microsoft Agent Framework.

DSPyOpenAIClaude SDKCrewAIGoogle ADKPydantic AIDeepAgentsMicrosoft

RLM Support
Experimental

Experimental RLM support with stronger Signature + Module automation from SuperSpec and GEPA-first optimization workflow.

StackOne Connectors

Wire SaaS actions into agents using StackOne connectors. Includes examples like Calendly workflows for connector-driven agentic automation.

Quick Start
$ uv tool install superoptix
$ super agent pull developer
$ super agent compile developer --framework dspy
$ super agent run developer --framework dspy --goal "Design a migration strategy"
# Optional optimization path
$ super agent compile developer --framework dspy --optimize
$ super agent optimize developer --framework dspy --auto light
The Unsolved Problem

Agent Optimization Is Unsolved

Everybody is trying to solve it. Nobody has succeeded. Until now.

The Problem

  • โœ—Agents fail in production
  • โœ—Manual prompt tweaking is endless
  • โœ—No systematic optimization exists
  • โœ—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

  • โœ“Optimization is our entire focus
  • โœ“Built for production from day one
  • โœ“Industry-leading optimizers + our own
  • โœ“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

Production-Ready Agents

From Base Pipeline to Production

SuperOptiX gives you a cleaner path from defining intent to shipping optimized agents

Traditional Approach

-

Framework glue code everywhere

-

Provider-specific logic duplicated

-

Manual prompt tweaking is endless

-

Heavy runtime scaffolding

SuperOptiX Approach

+

Define intent once in SuperSpec YAML

+

Generate framework-native pipelines

+

Optimize with GEPA when ready

+

Keep code ownership and readability

Framework Comparison

AreaOther FrameworksSuperOptiX
Pipeline OutputHeavy runtime scaffoldingMinimal, framework-native code
Framework Lock-inRewrite for each frameworkOne spec, 8 frameworks
OptimizationManual or framework-specificExplicit --optimize path with GEPA
Code OwnershipFramework abstractions hide logicReadable, native pipelines you own
Framework Agnostic

Build Once. Deploy Anywhere.

SuperOptiX compiles a single SuperSpec YAML into framework-native agent pipelines across 8 frameworks. Stay close to each framework's native programming model.

Universal Optimizer

GEPA Works Across All Frameworks

The Genetic-Pareto (GEPA) optimizer works across all 8 supported frameworks. Enable optimization only when needed with the explicit --optimize path.

Proven significant accuracy improvement (DSPy)
100% pass rate maintained (OpenAI & CrewAI)
Works with just 3-10 training scenarios
Framework Switching
โžœ ~ super agent compile developer
# Compiles to DSPy by default
โžœ ~ super agent compile developer --framework openai
โœ“ Compiled to OpenAI SDK
โžœ ~ super agent compile developer --framework crewai
โœ“ Compiled to CrewAI
โžœ ~ super agent optimize developer --auto medium
๐Ÿš€ GEPA optimizing across all frameworks...
โœ“ Optimization complete successfully

What's Next

We're continuing to expand SuperOptiX

GEPA Optimization

Improved optimization ergonomics and GEPA-focused workflows

Connector Workflows

Deeper connector-driven agentic workflows with SaaS integrations

RLM Expansion

RLM experimentation across more frameworks and use cases

Observability

Better debugging UX and observability tooling

SuperOptiX is Open Source. Let's Build Better Agent Systems.

If you build with agents, we'd love your feedback, issues, and contributions.

Get started in 30 seconds
uv tool install superoptix