Agent4Rec is a recommender system simulator with 1,000 LLM-empowered generative agents initialized from the MovieLens-1M dataset. Each agent interacts with personalized movie recommendations page by page and performs actions such as watching, rating, evaluating, exiting and interviewing. It accompanies the paper "On Generative Agents in Recommendation."
Apache Airflow is a platform created by the community to programmatically author, schedule and monitor workflows. Pipelines are defined in Python, and workflows can be monitored, scheduled and managed through a web application. Operators allow tasks to run on services such as Google Cloud Platform, Amazon Web Services and Microsoft Azure.
An interactive eBook compiling research papers on large language model-based multi-agent systems, organized into multiple chapters and updated with new research. It covers task-solving and social-simulation directions, and was initiated by the ChatDev Group at Tsinghua University.
AgentGPT is a browser-based tool for assembling, configuring, and deploying autonomous AI agents. Users create an agent by adding a name and goal, then deploy it. The page labels the project as beta and lists example agents for research, travel planning, and study planning.
Arch Tools provides one API key for 63 tools aimed at AI agents and developers, covering web search, scraping, AI generation, OCR, transcription, crypto data, email and utilities. It supports REST and MCP protocols and offers two authentication methods: an API key or per-call x402 crypto payments in USDC on Base.
Haystack is an open-source AI orchestration framework for building production-ready, LLM-powered agents and applications. The site states it uses modular, customizable building blocks, connects to providers such as OpenAI, Anthropic, Mistral, Hugging Face, Weaviate, Pinecone and Elasticsearch, and offers both open source and enterprise options.
Microsoft Agent Framework is a framework for building AI agents and multi-agent workflows in .NET, Python, and Go. It provides agents that use LLMs to process inputs, call tools and MCP servers, and generate responses, plus functional and graph-based workflows that connect agents and functions through explicit execution paths. It includes model clients, agent sessions, context providers, middleware, and MCP clients.
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Apache Airflow is a platform created by the community to programmatically author, schedule and monitor workflows. Pipelines are defined in Python, and workflows can be monitored, scheduled and managed through a web application. Operators allow tasks to run on services such as Google Cloud Platform, Amazon Web Services and Microsoft Azure.
An interactive eBook compiling research papers on large language model-based multi-agent systems, organized into multiple chapters and updated with new research. It covers task-solving and social-simulation directions, and was initiated by the ChatDev Group at Tsinghua University.
AgentGPT is a browser-based tool for assembling, configuring, and deploying autonomous AI agents. Users create an agent by adding a name and goal, then deploy it. The page labels the project as beta and lists example agents for research, travel planning, and study planning.
Arch Tools provides one API key for 63 tools aimed at AI agents and developers, covering web search, scraping, AI generation, OCR, transcription, crypto data, email and utilities. It supports REST and MCP protocols and offers two authentication methods: an API key or per-call x402 crypto payments in USDC on Base.
Haystack is an open-source AI orchestration framework for building production-ready, LLM-powered agents and applications. The site states it uses modular, customizable building blocks, connects to providers such as OpenAI, Anthropic, Mistral, Hugging Face, Weaviate, Pinecone and Elasticsearch, and offers both open source and enterprise options.
Microsoft Agent Framework is a framework for building AI agents and multi-agent workflows in .NET, Python, and Go. It provides agents that use LLMs to process inputs, call tools and MCP servers, and generate responses, plus functional and graph-based workflows that connect agents and functions through explicit execution paths. It includes model clients, agent sessions, context providers, middleware, and MCP clients.
