An AI-driven multi-agent research assistant based on LangGraph that automates the entire research workflow from hypothesis generation, data analysis, and visualization to comprehensive report writing.

Other大语言模型Machine Learning

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An intelligent agent designed specifically for mathematical modeling that automatically handles problem analysis, mathematical modeling, coding, error correction, and paper writing to generate complete contest-ready papers.

Agent & ToolingPythonFastAPI

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OS Agents are MLLM-based systems that automate tasks on computers, phones, and browsers by operating through the environments and interfaces provided by operating systems (GUI and CLI). This comprehensive survey consolidates the current state of OS Agents research, providing insights to guide both academic inquiry and industrial development in this emerging field.

Docs, Tutorials & ResourcesPythonAI Agents

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An AI-curated weekly newsletter about AIGC (AI-Generated Content), powered by Agentic AI Agent and leveraging the latest AI and Serverless technologies to deliver the latest news, tools, and resources.

Docs, Tutorials & ResourcesTypeScriptNext.js

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A curated list of SDKs, frameworks, libraries, and tools for creating, monitoring, debugging and deploying autonomous AI agents, maintained by the E2B team.

Docs, Tutorials & ResourcesPythonTypeScript

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A fully automated personal AI research assistant that supports multiple large language models to help users conduct in-depth research and information gathering.

Agent & ToolingPythonDocker

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An open-source multi-agent system that automatically converts academic papers into editable academic posters, supporting various model combinations including GPT-4o and local open-source models.

Agent & ToolingPythonDocker

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An open-source deep research agent optimized for research and prediction tasks, achieving 80.8% Avg@8 score on the challenging GAIA benchmark, featuring 256K context window support and up to 600 tool calls per task.

Agent & ToolingPythonAI Agents

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CAMEL is an open-source multi-agent framework dedicated to discovering the scaling laws of agents. It supports simulating up to 1 million agents with dynamic communication, stateful memory, and various benchmark capabilities, providing valuable insights into agent behaviors, capabilities, and potential risks.

Agent & ToolingPythonAgent Framework

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