Superagentic AI returned to the AI Engineer World’s Fair 2026 Online Track with a second talk, “RLM: Recursive Language Models for Large Codebases.” The session, delivered by Shashi Jagtap, Founder […]
Category: Agent Memory
What’s New in SuperQode: Latest Models, Smaller Core and Python-Extensible Harnesses
The coding-model landscape is moving faster than the software around it. In the space of a few weeks, OpenAI introduced GPT-5.6, xAI released Grok 4.5, Meta launched Muse Spark 1.1, […]
Self-Optimizing Coding Agent Harnesses with SuperQode
Coding agents have become a practical part of software development workflows. Tools such as Codex-style agents, Claude Code-style agents, OpenCode-style agents, and IDE-integrated assistants are increasingly good at reading repositories, […]
Superagentic AI Speaks at the AI Engineer World’s Fair 2026 SF Online Track
Superagentic AI was featured on the AI Engineer World’s Fair 2026 Online Track with the talk “Turbocharge Your Agent’s Retrieval with TurboQuant.” The session, delivered by Shashi Jagtap, Founder of Superagentic AI, […]
Superagentic AI Hosted Largest Technical Side Event of AI Engineer World’s Fair on Harness Engineering
During AI Engineer World’s Fair week in San Francisco, Superagentic AI hosted Harness Engineering: State of the Art in Agent Harnesses at AWS Builder Loft. The event received more than […]
Introducing SuperQode: The Era of Harness Independence and Self Harness Engineering
The Agentic coding agent market has spent the last year focused on model independence. That focus remains important, but it is no longer sufficient. A coding agent consists of a […]
SuperQode 0.2.0: A Harness Engineering Framework for Coding Agents
Today we are shipping the first public beta of SuperQode, an open source harness engineering framework for coding agents that is built for local and open models from the ground […]
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 […]
CodexOpt Brings Microsoft SkillOpt to Codex: Optimizing Agent Skills with Execution Feedback
Microsoft Research released the SkillOpt paper. The work has generated considerable discussion across the AI community. Researchers and engineers highlight its disciplined approach to improving agent capabilities without modifying model […]
Grok Build Enters the Agentic Coding Arena with Official Grok CLI: Game ON
xAI has officially entered the agentic coding arena. On May 14, 2026, the company launched an early beta of Grok Build, its native agentic command-line interface (CLI). In the launch […]