What is Alibaba's AgentEvolver framework?

AgentEvolver is a new framework from Alibaba's Tongyi Lab that enables AI agents to autonomously create their own training data by exploring their application environments.

How does AgentEvolver reduce AI training costs?

It reduces costs by allowing AI agents to generate their own diverse training data through self-questioning and environmental exploration, eliminating the need for extensive manual annotation.

What are the key mechanisms of AgentEvolver?

AgentEvolver uses self-questioning for task generation, self-navigating for efficient exploration based on past experiences, and self-attributing for detailed feedback on actions.

Home / Technology / AI Agents Create Their Own Training Data

AI Agents Create Their Own Training Data

27 Nov, 2025

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Summary

New framework allows AI agents to autonomously generate training data.
AgentEvolver uses LLM reasoning for efficient environmental exploration.
This innovation lowers costs and speeds up custom AI assistant development.

AI Agents Create Their Own Training Data

Alibaba's Tongyi Lab has introduced AgentEvolver, a groundbreaking framework that empowers AI agents to autonomously generate their own training data by exploring application environments. This innovative approach utilizes the reasoning capabilities of large language models to facilitate autonomous learning, thereby circumventing the substantial costs and manual labor typically required for dataset creation.

The self-evolving system operates through three core mechanisms: self-questioning to discover functions and generate diverse tasks, self-navigating to enhance exploration efficiency by learning from past experiences, and self-attributing to provide granular feedback on individual actions. This allows agents to continuously refine their capabilities without predefined tasks or reward functions.

Experiments on benchmarks like AppWorld demonstrated significant performance gains, with substantial improvements in reasoning and task execution. For enterprises, AgentEvolver dramatically lowers the barrier to entry for developing bespoke AI agents and custom AI assistants, fostering more scalable, cost-effective, and continually improving intelligent systems.