deer-flow: DeerFlow is a community-driven framework designed for deep research, integrating language models with specialized tools for tasks like web search, crawling, and Python code execution. It offers a modular multi-agent system architecture for automated research, supporting various search engines, crawling tools, and private knowledge bases.; kernel-mcp-server: Kernel MCP Server bridges AI assistants with the Kernel platform, enabling deployment of apps, headless Chromium browser automation, monitoring, and more. It supports OAuth 2.0 authentication and is fully managed with an open-source codebase. Users can use the cloud-hosted endpoint or run locally.
Conducting deep research and generating comprehensive reports with multimedia content
AI coding workflows: preview local changes in a cloud browser via tunnel