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Awesome GitHub RepositoriesExperiment Code Debuggers
Tools for generating and debugging experimental code within a secure, isolated sandbox environment.
Distinct from Code Execution Sandboxes: Integrates code generation and debugging specifically for scientific experiments within a sandbox
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Awesome Experiment Code Debuggers GitHub Repositories
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- evoscientist/evoscientist
EvoScientist/EvoScientist
3,806在 GitHub 上查看EvoScientist is an autonomous AI scientist and multi-agent research framework designed to plan, code, and execute end-to-end scientific research workflows. It functions as an agentic workflow orchestrator that uses a state-machine to coordinate specialized agents through iterative phases of planning, execution, and verification. The system is distinguished by a persistent knowledge graph memory that distills agent interactions into reusable skills and a hub for integrating external tools via the Model Context Protocol. It features a provider-agnostic model layer for switching between language
Generates and executes experiment code in a sandboxed environment with automatic recovery and debugging.
Python
