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 […]
Tag: Agent Framework
Agentic Context Engineering: Prompting Strikes Back
Stanford university released paper on Agent Context Engineering (ACE) introduced structured framework to grow, refine and maintain context as living playbook that adapt itself with feedback. Everyone started talking about Context […]
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 […]
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 […]