TrustLoopGuard
Runtime control for production AI agents to stop them before they send, spend, or execute, with open-source policy enforcement.
TrustLoopGuard
What is TrustLoopGuard?
TrustLoopGuard vs Similar AI Tools
| Pricing Model | Free | Custom Pricing | Free, Free Trial | Custom Pricing |
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How to use TrustLoopGuard?
- 1Install the SDK package (npm install @trustloopguard/sdk)
- 2Decorate your agent with guardAgent() passing agent ID and context
- 3Submit the intended action and context before any side effect
- 4Receive a typed decision (permit, deny, transform, require_approval, defer)
- 5Execute or pause based on decision
TrustLoopGuard Key Features
- Policy before action: checks proposed output before side effect
- Explicit decision with reason and policies fired
- Inspectable by default: open-source runtime and wire contract
- SDK decorator integrates with existing agents
- Decision and execution receipts for audit trail
TrustLoopGuard Use Cases
- Shell command guardrails for coding agents
- Refund approval in customer service agents
- Preventing unauthorized spending or data exfiltration
TrustLoopGuard Pricing & Free Credits
TrustLoopGuard currently operates on a Free model.
This tool is completely free to use
TrustLoopGuard Pros & Cons
Pros
- Open source and auditable
- Prevents side effects before execution
- Returns explicit decisions with reasons
- Easy SDK integration
Cons
- Requires integration effort
- Early stage, limited community yet
- Only supports certain action types currently
What is TrustLoopGuard best for?
- Production AI agents needing safety guardrails
- Developer teams deploying autonomous agents
TrustLoopGuard FAQ
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