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Published directory entries matching your search.
Multi-Agent AI - Deep Research is a Hugging Face Space developed by bstraehle. Users provide an OpenAI API key and a research topic, and the application generates a detailed research article based on the provided input. The space is currently sleeping due to inactivity.
Multi-Agent Article Writer is a Hugging Face Space created by DrishtiSharma. Users enter a topic, and the tool produces a comprehensive AI-generated article based on that input. The space is currently paused.
Multi-Agent Chatbot is a Hugging Face Space developed by yujierachel. The chatbot delivers detailed responses to user questions about machine learning, and supports optional upload of machine learning-related PDFs. The space is currently running.
Multi-agent Deep-research System is a Hugging Face Space created by Agents-MCP-Hackathon. The system uses AI agents to perform web searches and analyze information, generating detailed research reports in response to user-provided research questions. Users must supply API keys for web search functionality. The space is currently running.
Multi-Agent Land is a Hugging Face Space developed by build-small-hackathon. It launches the Fishbowl Gradio web interface, loads configuration from a local .env file, operates entirely offline without requiring API keys, and automatically configures relevant settings. The space is currently paused.
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.
Deploy LangChain Agents and connect them to Telegram.
A Hugging Face Space from CultriX for multi-agent code generation. Users enter a programming task description and optionally an OpenAI API key, and the system's AI agents improve the prompt, create a plan, write code, review it and generate tests. The orchestrator collaborates with multiple agents on the code. The Space is sleeping due to inactivity.
A GitHub repository with a preliminary implementation of the paper "Improving Factuality and Reasoning in Language Models through Multiagent Debate." It contains code for running arithmetic, GSM, biography and MMLU tasks through multiagent debate, with scripts to generate and evaluate answers. More tasks and settings are stated as forthcoming.
Automate your workflows with AI. Describe your workflows step by step in plain language.
Neurolink is described as the pipe layer of an AI nervous system, providing one interface connecting provider neurons to an application across three inference types: generate, stream, and a calibrated decide via TypeSafe Jev. It lists MCP-native, voice, RAG, memory and file processor features and powers several Juspay projects.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
Welcome to the NoCoMind - Dynamic & Customizable AI Agents – a no-code platform designed.
Notte is the fastest, most reliable Browser Using Agents framework.
TypeScript AI agent platform with Autonomous agents, Software developer agents, AI code review agents and more.
Typed graph database where agents branch and merge like Git. S3-native, Rust, traversal + vector + BM25 in one runtime.
onUI is a browser extension for Chrome, Edge and Firefox with a local MCP bridge, used to annotate or draw on any web UI and export structured context for AI agents. Annotations require no app code changes; per-tab control is off by default.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Open RAG Eval is an open-source Python evaluation toolkit for Retrieval-Augmented Generation pipelines. It provides TREC-RAG evaluation metrics and a modular design for custom metrics and connectors, with core metrics that do not require golden chunks or golden answers.
Open-source platform for building AI agent networks with multi-protocol support (WebSocket, gRPC, HTTP, MCP, A2A). opensource.
An Open Platform for Language Agents in the Wild.
The OpenAI Agents SDK is a lightweight Python package for building agentic AI applications with few abstractions. It provides primitives including agents with instructions and tools, handoffs for delegating tasks between agents, and guardrails for validating inputs and outputs. It includes built-in tracing for visualizing and debugging agentic flows. The SDK uses the Responses API by default for OpenAI models and wraps model calls in a higher-level runtime.
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Create customized software using natural language idea (through llm-powered multi-agent collaboration).
