Last week, I returned to London from the San Francisco Bay Area with renewed energy, fresh insights, and a deep appreciation for the people driving artificial intelligence forward. Since back, […]
Category: AI
PyFlue 0.2.0: Bringing Flue’s Agent Runtime Model to Python
PyFlue 0.2.0 is now available. This release is a major step toward parity with the TypeScript Flue framework and introduces a clearer runtime model for building production-oriented Python agents. The […]
Agentic Harness Engineering: The Next Frontier After Harness Engineering
Harness Engineering has become AI trend these days and now it reached to the next level. In our earlier post, Harness Engineering: The Hottest Topic in AI Agent Engineering, we […]
Launching the London Agentic AI Community Website
Superagentic AI is excited to announce the launch of the new official website for London Agentic AI, a community created for engineers, researchers, founders, and practitioners building real-world AI agents […]
New OpenAI Agents SDK: The Dawn of Extreme Harness Engineering
OpenAI released a major evolution of its Agents SDK as a fundamental rethinking of how agents should operate in production. They introduced an open, inspectable harness for orchestration and a clean […]
Official Meta-Harness Repo + Packaged Power = Coding Agent metaharness
Stanford IRIS Lab officially released the reference code for Meta-Harness, their groundbreaking framework for autonomously optimizing the code scaffolding around a fixed large language model. The announcement quickly gained traction […]
Open Memory and Open Harness Is Not Enough: You Need Self-Optimizing (Self-Healing) Harness
Recently there is a lot of discussion on agent Main and harness initially anthropic put a blog post on scaling managed agents which gone viral is and replied to that […]
What OpenClaw Vs Anthropic Drama Taught Us: The Urgent Need for Self-Optimizing Harness Engineering
Recently, OpenClaw took off like a one of the greatest breakthrough in the AI. People are going crazy to setup OpenClaw to automate the tasks. All looked very good until […]
Gemma 4 with MLX for Local Agentic AI at Superagentic AI
At Superagentic AI, we have published a new MLX 4-bit conversion of Gemma 4 31B IT for Apple Silicon workflows. The model is now available on Hugging Face at SuperagenticAI/gemma-4-31b-it-4bit-mlx. […]
Meta-Harness: A Self-Optimizing Harness Around Coding Agents
Stanford AI lab just released the Meta Harness paper which covers the meta harness strategy that self-optimise. Most conversations about coding agents focus on the model. People compare model quality, […]