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Safely inspect and dry-run cleanup leftover AI agent subprocesses with reproducible evidence.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "clean-process-ended" yet — see the docs or source repo.
Scan this machine for subprocesses left by AI coding agents, classify them by ownership, and output reproducible inspection evidence without performing actual cleanup.
A classified list of leftover processes with inspection rationale and reproducible evidence.
Create a dry-run cleanup plan for detected leftover AI agent subprocesses, showing which processes would be terminated, why, and preserving evidence records.
A non-destructive cleanup plan listing target processes, risk assessment, and evidence records.
Audit residual system processes after AI coding agent runs, flag potentially abnormal resource usage, and provide manual follow-up recommendations with an evidence summary.
An audit report of residual processes including anomaly flags, handling recommendations, and an evidence summary.
Execute commands safely, search files, and manage system processes via MCP.
Securely start, monitor, and manage whitelisted processes for development workflows.
Provides clean, spam-free web search results for AI agents.
Provide controlled repository access for AI coding agents with redaction and audit logs.
Sanitize documents locally by removing or transforming PII before public LLM use.
Run dev checks and get compact error summaries for faster debugging.