Code Execution Sandbox With Python Interpreter

via “sandboxed code and bash execution with multiple backend providers”

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

Unique: Implements pluggable sandbox backends with unified interface, allowing same agent code to run on Docker locally and Kubernetes in production without changes. Uses path virtualization at the filesystem level to prevent directory traversal while maintaining transparent file access semantics.

More flexible than single-backend solutions (like e2b or Replit) because it supports multiple execution environments, and more secure than direct code execution because it enforces resource limits and filesystem isolation at the container level.