
Preloop
Claim this toolHuman approval and governance for AI agents, intercepting risky actions and ensuring critical decisions.
Free, no paid tierVisit WebsiteThe Bottom Line
- Price
- Free, no paid tier. Compare plans
Key facts
- 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
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
What is Preloop?
Available on: macOS, Linux
Key Features
- Policy-based controls defining what AI agents can and cannot do
- Human-in-the-loop approval for risky agent actions
- MCP server integration for Claude Code, Cursor, and Windsurf
- Notifications via mobile app, Slack, Mattermost, and email
- Audit log of all agent actions and approval decisions
- Custom policy definitions per tool and action type
Pricing Plans
Pricing checked Oct 4, 2026
| Plan | Price | Details |
|---|---|---|
| Free | $0 |
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Is Preloop worth the price?
Preloop's Free tier is quite generous, offering core functionality for human approval and governance of AI agents at no cost.
This makes it an excellent starting point for individuals or small teams exploring AI agent deployment without immediate budget constraints. It's best for early adopters and developers needing basic oversight.
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Preloop FAQ
How does Preloop enhance the security of AI agent deployments?
What kind of user benefits most from Preloop?
How is Preloop priced?
Can Preloop integrate with existing AI agent setups?
What are the primary trade-offs when implementing Preloop?
How does Preloop compare to a tool like LangChain?
Which specific actions can Preloop intercept and route for approval?
Source: preloop.ai