The field of prompt optimization has witnessed a breakthrough with GEPA (Genetic Pareto), a novel approach that uses natural language reflection to optimize prompts for large language models. Based on the […]
Tag: Agent Framework
GEPA DSPy Optimizer in SuperOptiX: Revolutionizing AI Agent Optimization Through Reflective Prompt Evolution
The landscape of AI agent optimization has fundamentally shifted with the introduction of GEPA as a DSPy optimizer. Unlike traditional optimization approaches that rely on trial-and-error or reinforcement learning, GEPA […]
Optimas + SuperOptiX: Global‑Reward Optimization for DSPy, CrewAI, AutoGen, and OpenAI Agents SDK
Optimization has been central to SuperOptiX from day one regardless it’s prompt, weights, parameters or compute. It began with DSPy-style programmatic prompt engineering and teleprompting as it was the only framework […]
SuperOptiX Memory: A Practical Guide for Building Agents That Remember
Modern AI agents are just limited to chatbots or prompt-in, answer-out. To feel coherent and genuinely helpful over time, they need to remember. Agent memory is the capability that lets […]
SuperOptiX Now Supports OpenAI’s GPT-OSS Models!
Superagentic AI excited to announce that SuperOptiX now supports OpenAI’s latest open-source language models: GPT-OSS-20B and GPT-OSS-120B! What are GPT-OSS Models? OpenAI has released two powerful open-weight language models designed […]
SuperOptiX: A Deep Technical Dive into the Next-Generation AI Agent Framework
SuperOptiX: A Deep Technical Dive Building Intelligent Agents with DSPy, RAG, Memory, and Observability Built by Superagentic AI • Official Website • Documentation Introduction SuperOptiX represents a paradigm shift in […]
GEPA: The Game-Changing DSPy Optimizer for Agentic AI
A new breakthrough in prompt optimization is making waves across the AI community. A recent paper titled GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning, introduces a novel, language-native approach […]
The Ultimate Guide to All-in-One Self-Hosted & Enterprise Model Management with SuperOptiX
Recently, open-source models have been rapidly advancing, offering strong competition to closed-source releases. Models like Qwen3, DeepSeek, Kimi, and Llama can now be used locally or self-hosted within enterprises, empowering […]
SuperSpec: Context Engineering and BDD for Agentic AI
The context engineering practices are getting very popular these days over the prompt engineering. Recent paper published on the survey of the Context engineering for LLMs shown the various techniques, […]
SuperOptiX vs Agent Bricks: DSPy-Powered Titans of Agentic AI
We’re entering a golden era for agent frameworks — where building powerful, production-grade AI agents no longer requires months of custom engineering. There are many frameworks available in the market […]