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 […]
Agent Optimization: Why Context Engineering Isn’t Enough
In the rapidly evolving world of AI agents and large language models, the conversation has moved quickly. It began with prompt engineering, then shifted to context engineering which focuses on […]
Intelligent RAG Optimization with GEPA: Revolutionizing Knowledge Retrieval
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 […]
Introducing SuperQuantX: Foundational Research for Quantum and Agentic AI
Today is a landmark day for Superagentic AI. We are thrilled to introduce SuperQuantX, our open source SDK created to unify the fragmented world of Quantum AI development. The timing […]
London Agentic AI: Building the UK’s First Community for Agentic AI
In April 2025 we launched London Agentic AI, #LondonAgenticAI the first and original community in the UK dedicated entirely to agentic systems. The group was created by engineers for engineers […]
Codex CLI: Running GPT-OSS and Local Coding Models with Ollama, LM Studio, and MLX
Agentic coding is evolving rapidly, reshaping how developers interact with AI to generate code. Instead of being locked inside full-blown IDEs, many are moving back toward lightweight, flexible command-line interfaces. […]
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 […]