Delysium Joins UCL to Roll Out Prometheus for Cost-Effective and Open AI Coding

Delysium, a popular AI-powered decentralized ecosystem, has announced an exclusive collaboration with University College London (UCL). The partnership is aimed at redefining AI coding by enhancing autonomy, openness, and cost efficiency with the launch of “Prometheus.” As Delysium’s official press release discloses, the joint effort is set to provide a robust solution for fragmentation across industrial and academic code agents. Hence, the development is anticipated to boost innovation, minimize operational charges, and establish a worldwide standard for intuitive software development.

Delysium is creating an open, autonomous agent network end-to-end resolution across a fragmented technological landscape.This infrastructure is co-developed with @ucl SSE team via @Euni_AI to empower developers and drive innovation.

— Delysium – $AGI 🟨 (@The_Delysium) October 22, 2025

Delysium to Launch Prometheus, Offering Independent and Economic AI Coding Innovation

The partnership between Delysium and University College London rolls out Prometheus. Prometheus is a unique multi-agent system that targets code repositories, converting them into intuitive knowledge graphs. This paves the way or improves issue resolution. By merging the comprehensive expertise of Delysium in large language models (LLMs) and the research capabilities, Prometheus brings new methodology to analyze as well as understand complicated codebases.

Additionally, it enables multi-lingual integration, multi-repository reasoning, and context-aware automation that conventional AI tools are deficient in. Moreover, in collaboration with UCL, Delysium’s release of Prometheus denotes a groundbreaking move to revolutionize AI coding. With the technical support from Delysium, the UCL team of Dr. He Ye has also built a dynamic issue resolution mechanism, as a part of this effort.

Revolutionizing Software Sphere via Autonomous AI Mechanisms

According to Delysium, the initiative is dissimilar to conventional AI coding assistants and, rather than just suggesting fixes, it completely solves them. In the same vein, the move categorizes issues, comprehends the context via knowledge graph, as well as assigns expert agents for the handling of resolution. Overall, with this partnership, the duo attempts to transform software automation, leading to a new epoch of intelligent and completely autonomous systems to reshape the worldwide software development.