Overview
AgentWing is a runtime control layer for AI agents that checks every action before it executes. It provides pre-execution governance by evaluating agent actions against policy rules, then returning decisions like allow, block, sandbox_required, approval_required, or restore_point_required. Users implement it via a simple POST API endpoint to enforce compliance and safety on tool usage. It generates audit receipts for every checked action, ensuring full traceability.
Application scenarios
Enterprise AI compliance
Gate agent actions against internal security policies before they access sensitive files or systems.
Multi-agent workflows
Route actions to sandboxed environments when risk is high, preventing unintended side effects.
Human-in-the-loop approvals
Require manual approval for high-risk actions before execution proceeds.
Audit and forensics
Capture detailed receipts and logs for every agent action to meet regulatory or internal audit requirements.
Restore point creation
Automatically trigger restore points before actions that could modify critical state, enabling rollback.
Policy enforcement for LLM tools
Block actions that violate predefined policies (e.g., secret file access) in real time.
Core features
Pre-execution action checking
Every AI agent action is evaluated against policies before it runs, using the `POST /api/v1/check-action` endpoint.
Decision outcomes
Returns clear decisions: `allow`, `block`, `sandbox_required`, `approval_required`, or `restore_point_required`.
Risk classification
Each action is tagged with a risk level (e.g., `high`) to inform the appropriate governance response.
Policy identification
Specific policy names (e.g., `block-secret-file-access`) are attached to decisions for precise rule tracking.
Audit receipts
Every check generates a unique `receiptId` (e.g., `aw_receipt_...`) for full traceability and compliance documentation.
Sandbox routing
Automatically redirects risky actions to isolated sandbox environments when required.
Approval workflows
Flags actions needing human approval before execution, enabling safe delegation.
Restore point triggers
Creates restore points automatically for actions that may alter system state, supporting rollback.
Target users
AI engineers, platform teams, and compliance officers building or deploying autonomous AI agents in production. Also suitable for organizations that need to enforce governance policies on agent tool usage, such as security teams and DevOps engineers managing multi-agent systems.
How to use
Integrate the POST /api/v1/check-action endpoint into your agent’s execution pipeline. Send each planned action to the API, receive the decision (allow, block, sandbox_required, approval_required, or restore_point_required), and act accordingly. For full setup details, visit the official documentation at the AgentWing website.
Effect review
AgentWing addresses a critical gap in AI agent safety by enforcing governance at the action level, not just at the prompt or output level. The API-first design makes it straightforward for developers to integrate without overhauling existing agent architectures. The inclusion of sandbox routing, approval gates, and restore points covers the most common risk scenarios teams face. While the website excerpt is minimal, the feature set suggests a practical, no-nonsense tool for production AI deployments. Teams looking for a lightweight governance layer will find this immediately useful.
Frequently asked questions
What is AgentWing?
AgentWing by GPM AI provides pre-execution governance for AI agents, including policy checks, approvals, sandbox routing, restore points, logs, and audit receipts to ensure safe and compliant tool usage.
How does AgentWing ensure AI agent safety?
AgentWing enforces policy checks before execution, routes actions through sandbox environments, and creates restore points to prevent harmful or unapproved actions.
Can AgentWing be integrated with existing AI tools?
Yes, AgentWing is designed to integrate with various AI agents and tools, adding a governance layer without disrupting existing workflows.
What kind of audit trail does AgentWing provide?
AgentWing logs all agent actions and generates audit receipts, offering a complete history for compliance and review purposes.
Is AgentWing suitable for enterprise use?
Yes, AgentWing is built for enterprises requiring strict governance, compliance, and security for AI agent operations.
Does AgentWing support real-time approvals?
Yes, AgentWing includes an approval system where human oversight can be requested before certain actions are executed.
Launch URL
https://agentwing.gpmai.dev/Tags
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