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Run sandboxed Bash, edit code, and automate debugging with agentic tools.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.sairam0424/ag-bash" MCP server from askskill: Run: claude mcp add 'io-github-sairam0424-ag-bash' -- npx -y @ag-bash/mcp-server
Run this deployment script in the sandboxed Bash. If it fails, diagnose the issue, edit the relevant code directly, and give me a summary of changes.
Execution results, root cause of the error, code diff for the fix, and a brief explanation.
Scan the current project’s Python files, replace outdated logging patterns with the standard logging interface, and output a list of changes.
A batch update result, affected file list, and key code diffs.
Use Bash or the available Python environment to read this CSV, calculate missing values and basic distributions for each column, and save the results as a new summary file.
Data profiling results, the generated summary file, and a description of the processing steps.
Provide AI agents a local sandbox to run code and tasks safely.
Let AI agents safely run SSH commands and inspect remote files.
Manage agent identities, messaging, and shared projects in a shared world.
Run shell commands safely for AI agents across local and SSH terminals.
Search code efficiently and apply safe atomic edits across multiple files.
Safely let your AI run code, query databases, use LMs, and commit to GitHub.