Preloop
Claim this toolHuman approval and governance for AI agents, intercepting risky actions and ensuring critical decisions.
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Tracked since2026
0 reviews trackedThe Bottom Line
Entry price
Free, no paid tier
Biggest pro
Adds a critical safety layer between AI agents and production systems
Biggest con
Adds latency to agent workflows that require human approval
TL;DR - Preloop
- Policy engine that intercepts risky AI agent actions and routes them for human approval
- Works with Claude Code, Cursor, and Windsurf via MCP, define what agents can do autonomously
- Sends approval requests via mobile app, Slack, and email for deployments, refunds, and data changes
Pricing: Free forever
Best for: Individuals & startups
What is Preloop?
Preloop is a policy engine and human approval layer for autonomous AI agents. It intercepts requests when AI agents attempt risky actions, like deployments, refunds, or data modifications, and routes them for human approval before execution. Teams define policies specifying what an AI agent can do autonomously, what it cannot do, and what requires approval. Works with any MCP-compatible agent including Claude Code, Cursor, and Windsurf, with notifications via mobile app, Slack, and email.
Available on: macOS, Linux
Pros & Cons
Pros
- Adds a critical safety layer between AI agents and production systems
- Works with any MCP-compatible agent without modifying agent code
- Flexible policy engine lets teams fine-tune autonomy vs. oversight
- Multi-channel notifications ensure approvals are never missed
Cons
- Adds latency to agent workflows that require human approval
- Limited to MCP-compatible agents, not all AI tools support MCP yet
- New product with evolving policy configuration options
Key Features
Policy-based controls defining what AI agents can and cannot doHuman-in-the-loop approval for risky agent actionsMCP server integration for Claude Code, Cursor, and WindsurfNotifications via mobile app, Slack, Mattermost, and emailAudit log of all agent actions and approval decisionsCustom policy definitions per tool and action type
Pricing Plans
Pricing checked Jul 14, 2026
Free
Free
- MCP proxy for agent approvals
- Custom policy definitions
- Mobile, Slack, and email notifications
- Audit logging
Reviews
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Preloop FAQ
How does Preloop enhance the security of AI agent deployments?
Preloop acts as a critical safety layer by intercepting risky actions attempted by AI agents, such as deployments or data modifications. It routes these actions for human approval based on predefined policies, ensuring oversight before execution in production systems.
What kind of user benefits most from Preloop?
Teams that deploy autonomous AI agents in environments where critical decisions or actions, like refunds or data modifications, require human oversight will benefit most. It is designed for organizations needing to balance AI autonomy with governance and security.
How is Preloop priced?
Preloop is free to use, meaning there is no paid plan required to access its features for human approval and governance of AI agents.
Can Preloop integrate with existing AI agent setups?
Yes, Preloop works with any MCP-compatible agent, including those like Claude Code, Cursor, and Windsurf, without requiring modifications to the agent's code. It provides multi-channel notifications via mobile app, Slack, and email to ensure approvals are received.
What are the primary trade-offs when implementing Preloop?
Implementing Preloop can add latency to agent workflows that necessitate human approval, as actions pause pending review. Additionally, its compatibility is limited to MCP-compatible agents, which means not all AI tools currently support this standard.
How does Preloop compare to a tool like LangChain?
Preloop focuses specifically on providing a human approval and governance layer for AI agents, intercepting risky actions and routing them for review. In contrast, tools like LangChain are typically used for developing and orchestrating AI agent workflows themselves.
Which specific actions can Preloop intercept and route for approval?
Preloop is designed to intercept a range of risky actions, including deployments, processing refunds, and modifying data. Teams can define policies to specify which of these actions require human approval before an AI agent can execute them.
Source: preloop.ai