AI agents are everywhere now. Every conference, meetup, and organization is discussing them. Across industries, we are witnessing a once-in-a-generation shift driven by AI and agentic technologies. The field of […]
Tag: AI/ML
Superagentic AI Bringing Agent Optimization to ODSC AI SF: What to Expect from Our Talk and Booth
Next week, Superagentic AI is coming to ODSC West 2025 in San Francisco, our first major public appearance in the US since launching the company earlier this year. We’re travelling from London […]
Introducing SuperRadar: The Global Intelligence Radar to Stay Competitive in the Agentic AI Race
Artificial Intelligence is moving faster than any technology wave in recent memory. Every week, new Agentic frameworks, orchestration libraries, coding assistants, and evaluation platforms appear, each claiming to be revolutionary. […]
Superagentic AI Joins UK AI Trade Association to Shape the Future of Agentic AI
Superagentic AI is proud to announce its membership in the UKAI Trade Association, the leading voice for the artificial intelligence industry in the United Kingdom. This milestone reflects Superagentic AI’s […]
Superagentic AI is Coming to San Francisco: Exhibiting at ODSC AI West 2025
We’re beyond excited to share some big news: Superagentic AI is exhibiting at ODSC AI West 2025, the #1 AI Builders Conference, in SF taking place October 28–30, 2025 at […]
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: 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 […]