SUPEROPTIXAgent-to-Agent Interoperabilityand Optimization LayerAgent-to-agent communication, without framework lock-in.
Make the agents you already run callable by any other agent, and get them discovered.
Powered by A2A. Refined by Superagentic AI.
You Do Context Engineering.
SuperOptiX Does Agent Engineering.
Once declared, automatic pipelines. Write once, compile everywhere, optimize every layer.
Write your agent as a SuperSpec YAML specification. Define behavior, tools, and goals once.
Generate native pipelines for DSPy, OpenAI, Claude SDK, CrewAI, Google ADK, Pydantic AI, DeepAgents, or Microsoft.
GEPA optimizes across Prompts, RAG, Memory, and Context. Enable with --optimize when ready.
Measure how often other agents route to yours, then improve the Agent Card with GEPA until they do.
One command reads your agent, derives the skills a calling agent would route on, and writes an Agent Card and a conformant server. Your code is not modified.
Point super a2a adapt at an agent you already run. SuperOptiX reads its structure and writes an A2A 1.0 Agent Card and server. Your code is not modified.
SuperOptiX now supports core A2A v1 interoperability so agents built with SuperOptiX can be exposed over A2A and can also call external A2A agents.
Explore A2A supportZero failures against the official Technology Compatibility Kit, 73 of 73 MUST requirements exercised on the conformance harness. A live agent runs at a2a.superoptix.ai with its Agent Card published on this domain.
Native generation flows across DSPy, Pydantic AI, Google ADK, OpenAI Agents SDK, DeepAgents, CrewAI, Claude Agent SDK, and Microsoft Agent Framework.
Generated pipelines across all supported frameworks are now significantly simpler. The default output is readable and runnable, without heavy runtime scaffolding.
Optimization and evaluation logic now lives behind --optimize, so base pipelines stay focused and clean.
Everybody is trying to solve it. Nobody has succeeded. Until now.
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 is fully focused on solving the optimization of agents at each layer, making them truly production-worthy.
Automatic prompt evolution and refinement
Structured context engineering
End-to-end workflow refinement
Hyperparameter and configuration tuning
Most teams adapt an agent they already run. Starting fresh is the other road: write one specification and compile it to native code on any of the eight frameworks.
Framework glue code everywhere
Provider-specific logic duplicated
Manual prompt tweaking is endless
Heavy runtime scaffolding
Define intent once in SuperSpec YAML
Generate framework-native pipelines
Optimize with GEPA when ready
Keep code ownership and readability
| Area | Other Frameworks | SuperOptiX |
|---|---|---|
| Pipeline Output | Heavy runtime scaffolding | Minimal, framework-native code |
| Framework Lock-in | Rewrite for each framework | One spec, 8 frameworks |
| Optimization | Manual or framework-specific | Explicit --optimize path with GEPA |
| Code Ownership | Framework abstractions hide logic | Readable, native pipelines you own |
SuperOptiX compiles a single SuperSpec YAML into framework-native agent pipelines across 8 frameworks. Stay close to each framework's native programming model.

Complex reasoning & research

Simple & fast agents

Anthropic Claude agents
Multi-agent teams
Gemini-native integration
Type-safe agents with MCP

Complex planning & reasoning
Enterprise Azure (legacy)
The Genetic-Pareto (GEPA) optimizer works across all 8 supported frameworks. Enable optimization only when needed with the explicit --optimize path.
We're continuing to expand SuperOptiX
Improved optimization ergonomics and GEPA-focused workflows
Long-running A2A tasks that report back without holding a connection open
Publishing Agent Cards to enterprise agent registries and galleries
Better debugging UX and observability tooling