mcpsandbox: mcpsandbox provides a lightweight sandbox object inspired by Daytona-style ergonomics but built around command projection instead of a full VM or container. It maps capabilities into a minimal runtime and lets an agent use them through shell commands and a small typed API. It supports just-bash as the execution engine, built-in filesystem sandboxing, git integration, MCP-backed commands, TypeScript handlers, existing binaries, and external sandbox providers.; 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.
Local development and testing of MCP tools
Conducting deep research and generating comprehensive reports with multimedia content