A generative agent framework inspired by human dual-process theory, combining fast and slow thinking mechanisms with in-context reinforcement learning to efficiently solve complex interactive reasoning tasks.
GPTSwarm is a graph-based framework for LLM-based agents that allows building LLM agents from graphs and enables customized, automatic self-organization of agent swarms with self-improvement capabilities.
A collection of introductory examples for building LLM-based AI agents, accompanying the book "大模型应用开发 动手做AI Agent", designed to help beginners get started with AI agent development.
A deep research agent framework from Tencent AI Lab that enables deep research and agent foundation model training. It's built with open-source tools, requiring only a Google Search API (which can be replaced with DuckDuckGo).
A practical guide for building production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph, ideal for developers looking to move AI prototypes to production environments.
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