First Universal Agent Optimization Framework

SUPEROPTIX AIFull-Stack Agentic AIOptimization Platform

Evaluate.

Optimize.

Orchestrate.

Full-Stack Agent Optimization. Future-Proof, Unified Agent Development.

Optimize across Prompts, RAG, Tools, Memory, and Context. Define once, deploy anywhere, across frameworks, protocols, and optimizers. Zero lock-in. Framework-agnostic, evaluation-first, and built for the next generation of agentic AI.

Try Super CLI

BETA

terminal

$ pip install superoptix

You Do Context Engineering. SuperOptiX Does Agent Engineering.

🔷 DSPy

🤖 OpenAI

⚡ CrewAI

🔍 Google ADK

💠 Microsoft

🧠 DeepAgents

🔍 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. 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.

🎯

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% → 80% improvements with just 3-10 training scenarios.

🔬

Multi-Framework Support

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

📝

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.

🏗️

Multi-Tier Architecture

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

👥 Who is SuperOptiX for?

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

🤖

AI Engineers

Building agent copilots and autonomous systems

Create sophisticated multi-agent architectures with built-in optimization, testing, and deployment pipelines.

DSPy-powered optimization
Agent orchestration
Production-ready deployment

🚀

Tech Teams & Startups

Deploying LLM-native workflows and agent stacks

Accelerate your AI product development with composable, scalable agent infrastructure.

Rapid prototyping
Scalable architecture
Cost optimization

🏢

Enterprise AI Architects

Seeking scalable, composable, multi-agent infrastructure

Build enterprise-grade AI systems with robust governance, security, and observability.

Enterprise security
Multi-tenant architecture
Compliance ready

🔬

R&D Labs

Experimenting with agent simulations and protocols

Push the boundaries of AI research with advanced agent architectures and simulation capabilities.

Research tools
Simulation frameworks
Protocol experimentation

⚡

Optimization-Obsessed Devs

Wanting reproducible, test-driven, fine-tuned agents

Achieve peak performance with systematic optimization, testing, and continuous improvement.

BDD testing
Performance optimization
Reproducible results

⚡ What Makes SuperOptiX Special?

Four revolutionary features that set SuperOptiX apart

🔬

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% → 80% improvements
Framework-Agnostic: One command for all
Auto-Configuration: Light, medium, intensive
RSpec-Style BDD: Optimize against behavior specs

🔌

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

📝

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 → Eval → Optimize → Deploy

➜ ~ super agent compile developer

# Compiles to DSPy by default

➜ ~ super agent compile developer --framework openai

✓ Compiled to OpenAI SDK

➜ ~ super agent compile developer --framework crewai

✓ Compiled to CrewAI

➜ ~ super agent optimize developer --auto medium

🚀 GEPA optimizing across all frameworks...

✓ Optimization complete: 37.5% → 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 environment—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

How It Works

We Deploy SuperOptiX

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

You Train Your Agents

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

Agents Deliver Results

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

Scale Together

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

Our Philosophy

"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

Deploy agents, not teams. Prove value before you pay. Build trust before you scale.

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

•

Build in ONE framework only

•

No universal optimizer

•

Manual testing & evaluation

•

Framework vendor lock-in

•

Limited RAG/MCP support

⭐ BEST CHOICE

✅

SuperOptiX

Build in ANY of 6 frameworks

GEPA universal optimizer (37.5% → 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.

🔬 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.

🚀 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

🚀 GEPA optimizing across all frameworks...

✓ Optimization complete: 37.5% → 80%

# Step 6: Evaluate optimized version

$ super agent evaluate <agent_name> --load-optimized

# Step 7: Run in production

$ super agent run <agent_name>

🏗️ Full-Stack Agentic Optimization

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

💬

Prompts & Instructions

Evolutionary optimization of:

System prompts
Agent instructions
Reasoning patterns
Task descriptions

📚

RAG & Retrieval

Context optimization across:

Retrieval queries
Chunking strategies
Embedding selection
Relevance scoring

🛠️

Tools & Functions

MCP protocol optimization for:

Tool selection
Parameter tuning
Execution strategies
Error handling

🧠

Memory & Context

Intelligent 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.

No framework-specific tricks. No vendor lock-in. Just pure, portable optimization across your entire agentic stack.

Optimize everything. Switch anything. Break nothing.

🔧 Key Capabilities

Everything you need for production-grade AI agents

✅

RSpec-Style BDD

Write behavior-driven specifications (like RSpec for Ruby) 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

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]

pip install -U superoptix[frameworks-crewai]

pip install -U superoptix[frameworks-google]

🚀 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.

👑 SuperOptiX: The King of Agent Frameworks

Where optimization meets intelligence.