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First Universal Agent Optimization Framework

SuperOptiX AI

Full-Stack Agentic AI Optimization Platform

Optimize across Prompts, RAG, Tools, Memory, and Context

Framework-agnostic, evaluation-first architecture with zero lock-in. Supporting DSPy, OpenAI SDK, CrewAI, Google ADK, Microsoft, and DeepAgents.

$ pip install superoptix

Powered by GEPA Optimizer - Genetic-Pareto Algorithm for Universal Agent Optimization

DSPyOpenAICrewAIGoogle ADKMicrosoftDeepAgents

πŸ” What is SuperOptiX?

SuperOptiX is the first universal agent optimization framework that 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). Unlike frameworks that only build agents, SuperOptiX makes optimization, evaluation, and quality assurance core to the development lifecycle.

🎯

Evaluation-First Architecture

RSpec-style BDD specifications with built-in testing and validation from day one. Define behavior scenarios, run automated evaluations, track metrics across optimization iterations.

🧬

GEPA Universal Optimizer

Automatic optimization across all 6 major agent frameworks with proven results. Achieve 37.5% β†’ 80% improvements with just 3-10 training scenarios.

πŸ”¬

Multi-Framework Support

Works with DSPy, OpenAI SDK, CrewAI, Google ADK, Microsoft, and DeepAgents. One workflow, six frameworks, unlimited possibilities.

πŸ“

SuperSpec DSL

Declarative language for agent specifications with Kubernetes-style versioning. Write once, deploy to any framework.

🧠

Context Engineering

Systematic approach to delivering optimal information and tools to agents. Includes RAG, MCP protocol, and memory optimization.

πŸ—οΈ

Multi-Tier Architecture

Progressive complexity from Oracles to Sovereigns with built-in safety. Free tiers (Oracle & Genie) and commercial tiers for enterprise.

πŸ‘₯ Who is SuperOptiX for?

SuperOptiX is designed for forward-thinking teams and individuals who are ready to build the next generation of AI systems.

πŸ€–

AI Engineers

Building agent copilots and autonomous systems

  • DSPy-powered optimization
  • Agent orchestration
  • Production-ready deployment
πŸš€

Tech Teams & Startups

Deploying LLM-native workflows and agent stacks

  • Rapid prototyping
  • Scalable architecture
  • Cost optimization
🏒

Enterprise AI Architects

Seeking scalable, composable, multi-agent infrastructure

  • Enterprise security
  • Multi-tenant architecture
  • Compliance ready
πŸ”¬

R&D Labs

Experimenting with agent simulations and protocols

  • Research tools
  • Simulation frameworks
  • Protocol experimentation
⚑

Optimization-Obsessed Devs

Wanting reproducible, test-driven, fine-tuned agents

  • BDD testing
  • Performance optimization
  • Reproducible results

⚑ What Makes SuperOptiX Special?

Four revolutionary features that set SuperOptiX apart

πŸ”¬

Multi-Framework Support

One optimization workflow, 6 frameworks:

  • DSPy - Structured prompting & signatures
  • OpenAI SDK - Native OpenAI agents
  • CrewAI - Multi-agent teams
  • Google ADK - Gemini agents
  • Microsoft - Enterprise agents
  • DeepAgents - LangGraph workflows
🧬

GEPA Universal Optimizer

The only optimizer that works across ALL frameworks:

  • Proven Results: 37.5% β†’ 80% improvements
  • Framework-Agnostic: One command for all
  • Auto-Configuration: Light, medium, intensive
  • RSpec-Style BDD: Optimize against behavior specs
πŸ”Œ

MCP & RAG Optimization

Advanced context optimization:

  • MCP Protocol: Model Context Protocol integration
  • RAG Optimization: Optimize retrieval quality
  • Memory Optimization: GEPA-based context selection
  • Vector DBs: ChromaDB, LanceDB, Weaviate, Qdrant, Milvus
πŸ“

SuperSpec DSL

Universal agent specification language:

  • Framework Freedom: Write once, deploy anywhere
  • Kubernetes-Style: Declarative YAML specs
  • RSpec-Style BDD: Built-in behavior scenarios
  • Full Lifecycle: Build β†’ Eval β†’ Optimize β†’ Deploy

Framework Agnostic

Build Once. Deploy Anywhere.

SuperOptiX works seamlessly with 6 major AI frameworks. Write your agent specification once with SuperSpec DSL, then deploy to any framework with a single command.

πŸ”·

DSPy

Complex reasoning & research

Improvement
37.5% β†’ 80%
Pass Rate
100%
  • 10+ variables
  • Ollama support
  • Advanced optimization
πŸ€–

OpenAI SDK

Simple & fast agents

Improvement
75% β†’ 100%
Pass Rate
100%
  • 1 variable
  • 100% pass rate
  • Quick deployment
⚑

CrewAI

Multi-agent teams

Improvement
75% β†’ 100%
Pass Rate
100%
  • 5 variables
  • Team coordination
  • Role-based
πŸ”

Google ADK

Gemini-native integration

Improvement
Optimized
Pass Rate
95%
  • Free tier
  • Google AI
  • Native tools
πŸ’ 

Microsoft

Enterprise Azure integration

Improvement
Optimized
Pass Rate
98%
  • Azure native
  • Enterprise ready
  • Security first
🧠

DeepAgents

Complex planning & reasoning

Improvement
Optimized
Pass Rate
92%
  • LangChain-based
  • Advanced planning
  • Deep reasoning

Universal Optimizer

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.

Proven Results

37.5% β†’ 80%

accuracy improvement (DSPy)

Pass Rate

100%

maintained (OpenAI & CrewAI)

Training Scenarios

3-10

scenarios needed

Framework Switching

➜ ~ super agent compile developer
# Compiles to DSPy by default

➜ ~ super agent compile developer --framework openai
βœ“ Compiled to OpenAI SDK

➜ ~ super agent compile developer --framework crewai
βœ“ Compiled to CrewAI

➜ ~ super agent optimize developer --auto medium
πŸš€ GEPA optimizing across all frameworks...
βœ“ Optimization complete: 37.5% β†’ 80%

Business Model

Piloting Forward Deployed Agents

SuperOptiX is pioneering a new deployment model for the Agentic AI era. Instead of traditional SaaS, we deploy intelligent agents directly into your environment.

What is FDA?

Forward Deployed Agents (FDA) is our innovative business model where we deploy intelligent AI agents directly into your environmentβ€”on-premise, private, and secure.

On-Premise Deployment

Ultimate privacy and control in your infrastructure

You Train, They Deliver

Clients train agents with their own data and workflows

Prove Value First

Scale together once outcomes are proven

1

We Deploy SuperOptiX

SuperOptiX is deployed directly into your environment as an on-premise sandbox. Zero data leaves your infrastructure.

2

You Train Your Agents

Use your own data, workflows, and constraints. Experiment freely with prompts, RAG, tools, and optimization strategies.

3

Agents Deliver Results

Agents learn, adapt, and evolve continuously. They integrate with real-world data and co-evolve with your needs.

4

Scale Together

Once outcomes are proven, we scale together. You own your data, your agents, and your outcomes.

"We deploy the agents. Clients train them. They deliver.
Once outcomes are proven, we scale together."

You Own Your Data
You Own Your Agents
You Own Your Outcomes

Why Choose SuperOptiX?

The Only Framework That Does It All

Other frameworks make you choose between building agents OR optimizing them. SuperOptiX does both - and works with ALL major frameworks.

Other Frameworks

  • β€’Build in ONE framework only
  • β€’No universal optimizer
  • β€’Manual testing & evaluation
  • β€’Framework vendor lock-in
  • β€’Limited RAG/MCP support
⭐ BEST CHOICE

SuperOptiX

  • Build in ANY of 6 frameworks
  • GEPA universal optimizer (37.5% β†’ 80%)
  • RSpec-style automated testing
  • Zero framework lock-in
  • Full RAG & MCP optimization

🎯 Optimization-First Philosophy

SuperOptiX makes optimization a first-class citizen, not an afterthought. Every agent is designed to be evaluated and optimized from day one with RSpec-style BDD scenarios.

πŸ”¬ True Multi-Framework Support

SuperOptiX provides a unified optimization workflow across DSPy, OpenAI SDK, CrewAI, Google ADK, Microsoft, and DeepAgents with the same GEPA optimizer.

πŸš€ Universal Optimization Workflow

Same workflow across ALL frameworks - choose your framework, keep the optimization power

🎯 One workflow. Six frameworks. Unlimited possibilities.

Universal Workflow

# Step 1: Initialize project
$ super init my_agent_project
$ cd my_agent_project

# Step 2: Pull demo agent (works for ANY framework!)
$ super agent pull sentiment_analyzer # DSPy
$ super agent pull assistant_openai # OpenAI SDK
$ super agent pull researcher_crew # CrewAI

# Step 3: Compile agent
$ super agent compile <agent_name>

# Step 4: Evaluate baseline performance
$ super agent evaluate <agent_name>

# Step 5: Optimize with GEPA (same command for ALL frameworks!)
$ super agent optimize <agent_name> --auto medium
πŸš€ GEPA optimizing across all frameworks...
βœ“ Optimization complete: 37.5% β†’ 80%

# Step 6: Evaluate optimized version
$ super agent evaluate <agent_name> --load-optimized

# Step 7: Run in production
$ super agent run <agent_name>

πŸ—οΈ Full-Stack Agentic Optimization

SuperOptiX is the only framework that optimizes across every layer of the agentic stack with a universal, framework-agnostic approach

πŸ’¬

Prompts & Instructions

Evolutionary optimization of:

  • System prompts
  • Agent instructions
  • Reasoning patterns
  • Task descriptions
πŸ“š

RAG & Retrieval

Evolutionary optimization of:

  • Retrieval queries
  • Chunking strategies
  • Embedding selection
  • Relevance scoring
πŸ› οΈ

Tools & Functions

Evolutionary optimization of:

  • Tool selection
  • Parameter tuning
  • Execution strategies
  • Error handling
🧠

Memory & Context

Evolutionary optimization of:

  • Memory retrieval
  • Context windows
  • Storage strategies
  • Attention patterns

⚑ Universal Optimization Engine

Framework-agnostic optimization means GEPA works the same whether you're using DSPy, CrewAI, OpenAI SDK, or any other framework.

Optimize everything. Switch anything. Break nothing.

πŸ”§ Key Capabilities

Everything you need for production-grade AI agents

RSpec-Style BDD

Write behavior-driven specifications and validate agent performance automatically.

Performance Optimization

GEPA optimizer delivers proven performance improvements across all frameworks.

Multi-Agent Orchestration

Build complex multi-agent systems with coordination and communication.

Production Operations

Deploy with confidence using built-in monitoring, tracing, and observability.

Memory Systems

Short-term, long-term, and vector memory for intelligent agent interactions.

RAG Integration

Connect to ChromaDB, LanceDB, Weaviate, Qdrant, Milvus, and more.

Model Management

Support for OpenAI, Anthropic, HuggingFace, Ollama, MLX, and local models.

Local & Cloud Inference

Run locally with Ollama/MLX or scale to cloud with vLLM/SGLang/TGI.

πŸ’Ό Commercial Package with Free Tiers

πŸ—οΈ Progressive Tier System

Scale from simple to enterprise complexity with our 5-tier architecture inspired by Nick Bostrom's Superintelligence and Sam Altman's AGI stages

πŸ§™β€β™‚οΈ

Oracles

FREE
Status:
βœ… Available
Complexity:
Low
Use Case:
Basic automation
πŸ§žβ€β™‚οΈ

Genies

FREE
Status:
βœ… Available
Complexity:
Medium
Use Case:
Content creation
🎭

Protocols

πŸ’Ό Commercial
Status:
πŸ”’ Available
Complexity:
High
Use Case:
Business processes
πŸ€–

Superagents

πŸ’Ό Commercial
Status:
In Progress
Complexity:
Expert
Use Case:
Complex workflows
πŸ‘‘

Sovereigns

πŸ’Ό Commercial
Status:
Coming Soon
Complexity:
Enterprise
Use Case:
Large-scale AI ops
NEW in 0.2.0b1: Framework-Free Core!

🎯 Quick Install

SuperOptiX core is now 100% framework-independent. Choose only what you need!

Core

Core only (no frameworks)

pip install -U superoptix

DSPy

With DSPy (for GEPA optimization)

pip install -U superoptix[frameworks-dspy]

Specific

With specific framework

pip install -U superoptix[frameworks-openai]

πŸš€ Ready to Build Optimized AI Agents?

Start with our free Oracle & Genie tiers today!

Join the SuperOptiX movement to create intelligent, optimized, and reliable AI agents.

πŸ‘‘

SuperOptiX: The King of Agent Frameworks

Where optimization meets intelligence.

SuperOptiX AI by Superagentic AI

The first framework-agnostic platform for end-to-end optimization of agentic AI systems.

Purpose-built for Optimization at Its Core, Evaluation from the Start, and Multi-Agent Intelligence by Design. Build production-grade agents with precision, performance, and scalability across DSPy, OpenAI SDK, CrewAI, Google ADK, Microsoft, and DeepAgents.

🧬 Full-Stack Optimization🎯 Evaluation-First🀝 Multi-Agent OrchestraπŸ”„ Framework-Agnostic