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agents

An open-source, self-evolving autonomous language agent framework oriented toward data.

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Platforms: Self-hosted
Region
Domestic
Pricing
Free
Open source
Yes
GitHub Stars
★ 5.9k
Source
GitHub
Added
2026-06-06
Last verified
2026-06-06

Overview

Agents is an open-source, autonomous language agent framework oriented toward data. It trains language agents by mimicking the connectionist learning process of neural networks, enabling agents to self-evolve and optimize. Users can define prompt pipelines to implement loss functions, backpropagation, and weight optimization, thereby training more efficient language agents. Suitable for developers who need to build and optimize complex language processing systems.

Key features

  • Self-evolving language agents
  • Symbolic learning-based system framework
  • Mimics neural network learning processes
  • Provides detailed documentation and examples

Use cases

Building intelligent conversational systemsOptimizing multi-agent collaborative tasksDeveloping natural language processing applications

Pros

  • Easy to extend and customize
  • Supports optimization of multi-agent systems
  • Comprehensive documentation and examples

Limitations / notes

  • Requires some programming background
  • Dependent on high-quality prompt design

Who it's for

AI researchersSoftware developersNatural language processing engineers

This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.

FAQ

How to install Agents?

Install via pip: pip install git+https://github.com/aiwaves-cn/agents@master

What are the main features of Agents?

Supports self-evolving language agent training and optimization

Similar agents

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