Agents for real work.

Nuclx researches and builds domain-specific agent systems. We connect models, tools, and workflows so intelligence can move beyond answering questions and start completing work.

Two paths. One question.

How can agents work more reliably?

01

Domain-specific agents

We design agent systems around defined business problems and professional workflows—from problem framing and tool integration to orchestration, evaluation, deployment, and iteration.

  • Problem and boundary definition
  • Tools and data integration
  • Evaluation, deployment, and iteration

02

Agent systems research

We study how agents collaborate, use memory and tools, and are evaluated—turning open questions into prototypes that can be run, observed, and tested.

  • Multi-agent collaboration
  • Memory and context
  • Observable evaluation systems

Intelligence isn’t a straight line.

Agent Graph represents agents, tools, memory, tasks, and evaluators as a composable computational graph. Nuclx is studying whether these nodes and connections can improve through feedback and discover more effective forms of collaboration.

Can evolvable agent graphs find effective paths through complex systems faster—and offer a testable engineering route toward AGI?

01

Nodes

Hold defined capabilities, tools, and responsibilities.

02

Connections

Direct the flow of information, tasks, and feedback.

03

Traces

Preserve the process for evaluation and iteration.

Built from real problems.

Nuclx Tech is a technology company based in Zhongshan, Guangdong, China. We build domain-specific agents and research agent systems.

We believe progress toward AGI requires more than stronger models. It also requires reliable systems that can understand goals, use tools, collaborate, and be evaluated in real tasks.

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