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Daedalab is a control layer designed for AI agents, intercepting risky actions to enhance safety in development workflows. It adds approval checkpoints before executing potentially destructive commands, such as file deletions, database modifications, or changes to CI configurations and permissions.
Key features include blocking high-risk operations—like those involving Terraform applies, production databases, or credential access—while maintaining a usable audit trail for review. This setup supports integration with tools like Claude Code, Cursor, Windsurf, Cline, and Aider, hooking into events such as PreToolUse to flag issues proactively.
By enforcing human oversight on agent actions, Daedalab helps prevent incidents from exploits, bugs, or unintended behaviors in AI-driven coding and infrastructure tasks. It provides an independent safeguard, separate from agent providers, allowing teams to scope operations safely, such as limiting to read-only plans or workflow-specific keys.
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