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AgentWing

Check every AI agent action before it runs

AgentWing provides a critical control layer for agent execution, ensuring safety and oversight before actions are taken. Key features include: • Policy-based action blocking • Human approval gates for sensitive operations • Sandbox routing for risky commands • Mandatory restore points for mutable actions • Comprehensive audit receipts for all checks and executions This system addresses the challenge of agents acting faster than human review times, preventing unauthorized file access, destructive commands, or data exfiltration. It offers configurable policy checks, including project-scoped and wildcard patterns, to enforce granular control over agent behavior. Unsafe actions can be automatically routed to isolated sandbox environments, utilizing external execution platforms. For critical operations, AgentWing integrates human-in-the-loop approvals, pausing agent execution until a decision is made from a central dashboard. Before any file, state, or configuration mutations, the system signals the agent to create a checkpoint, enhancing system recovery and risk mitigation. Each decision provides structured feedback and next steps, allowing agents to re-plan effectively. Designed for development teams managing agent-driven workflows, AgentWing transforms agent interactions from uncontrolled operations into transparent, auditable processes. It's an open-source runtime control layer, providing a single API call to integrate guarded execution into existing agent frameworks, establishing a clear audit trail and robust policy enforcement.
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