Report Abuse

Basic Information

This repository is a curated, continuously updated collection of resources about AGI/LLM-powered agents. It gathers articles, videos, academic papers, leading open-source agent projects, agent development platforms, curated lists and metadata such as star history. The README organizes content into sections including articles and videos, a paper list, a featured projects table, agent development platforms, and other curated resources. Entries include short descriptions and notes, and many popular projects and frameworks are highlighted by name. The curation mixes English and Chinese commentary, translations and summaries, and points readers to benchmarks, surveys and example implementations. The repo serves as a single-entry index for people tracking the agent ecosystem without claiming to host code beyond links and descriptions.

Links

Categorization

App Details

Features
Organized, sectioned index covering multiple resource types: a table of articles and videos with summaries, a bibliography of relevant papers and surveys, and a featured projects section listing high-profile open-source agent projects. It enumerates agent development platforms and frameworks with brief descriptions and example use cases. The README highlights representative projects such as Auto-GPT, gpt-engineer, AgentGPT, MetaGPT and others, and lists platforms like LangChain, AutoChain, SuperAGI and AutoGen. The file also references benchmarks and research resources such as AgentBench, ToolLLM and Toolformer, provides a curated list pointer, and includes repository metadata like star history to track popularity trends.
Use Cases
The repository helps researchers, developers and enthusiasts quickly discover and compare agent-related resources and projects in one place. It provides curated pointers to foundational papers, surveys and benchmarks for evaluating agent capabilities. By listing prominent open-source projects and development platforms with concise notes, it aids developers in choosing frameworks and examples to study or build upon. The bilingual summaries and translated materials lower the barrier for non-English readers. The featured-project and platform lists clarify real-world examples and common toolchains, while the star history gives a simple signal of community interest and evolution over time.

Please fill the required fields*