Lelu-ai
Lelu-ai delivers an authorization layer built specifically for autonomous AI agents.
Open SourceProductivity
Visit website Free to browse · updated 2026-06-23
What is Lelu-ai?
Lelu-ai functions as an embedded authorization system that evaluates every agent action against defined rules. Actions receive confidence scores that trigger automatic human oversight when thresholds are not met, allowing agents to continue without code alterations. The platform enables detailed policy management to permit, deny, or require review for specific operations. Agents can pause execution, queue requests, and resume after decisions are recorded, supporting both small projects and larger deployments through consistent logging and scalable controls.
Key features
Confidence-aware gating with automatic human review routing
Human-in-the-loop review with pause/resume and audit trail
Policy-driven authorization using Rego policies
CLI TypeScript and curl interfaces
SDK and API Reference support
Sandbox testing environment
Scalable from projects to production agent swarms
What you can use Lelu-ai for
Weekend AI Projects
Add confidence-aware gating to personal AI experiments with automatic human review routing and no code changes required.
Production Agent Swarms
Scale policy-driven authorization using Rego policies across production environments with pause/resume and full audit trails.
Compliance Workflows
Express complex rules per actor, action, or resource while routing low-confidence actions for human approval in regulated settings.
How to use Lelu-ai
- 1Visit lelu-ai.com and sign in
- 2Run npm install lelu-agent-auth
- 3Execute npx lelu init to set up the project
- 4Write Rego policies for desired rules
- 5Test actions in the sandbox environment
- 6Integrate SDK or CLI calls into your agents
Lelu-ai pricing
Pricing model: Open Source. Plan details are indicative — check the site for current prices.
Open Source
Free
- Confidence-aware gating
- Human-in-the-loop review
- Policy-driven authorization
Editor's verdict
Pros
- +No code changes needed for confidence gating
- +Flexible per-actor/action/resource rules
Cons
- –Requires policy authoring in Rego
- –Depends on human reviewers for low-confidence actions
Our take: Lelu-ai is a solid productivity choice. It's valued for no code changes needed for confidence gating and flexible per-actor/action/resource rules. The main trade-off is requires policy authoring in rego. A good pick if you want capable AI without a high upfront cost.
Frequently asked questions
Lelu-ai is an authorization protocol and layer for autonomous AI agents that combines confidence scoring, human-in-the-loop review, and Rego-based policies.
Summary
Lelu-ai is a solid productivity choice. It's valued for no code changes needed for confidence gating and flexible per-actor/action/resource rules. The main trade-off is requires policy authoring in rego. A good pick if you want capable AI without a high upfront cost.
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