AI Agent

Lelu

Open source authorization engine for AI agents that provides confidence-aware gating, human-in-the-loop review, policy-as-code, and full audit trail.

What is Lelu?

Lelu is an authorization engine for AI agents that checks every action, logs every decision, and brings humans into the loop when needed.

Lelu vs Similar AI Tools

Pricing ModelFreeFree, FreemiumFreeFree
Free Credits
Key Features
  • Confidence-aware gating
  • Human-in-the-loop review
  • Policy-as-code with YAML and Rego
  • Multi-agent workflow with verification and self-healing
  • 50+ AI models auto-routed per agent
  • 1000+ OAuth2 app integrations
  • Seven breakable boxes covering OWASP Agentic Top-10 vulnerabilities
  • Three guided simulations for cascading failures, human-agent trust, and rogue agents
  • Network-isolated Docker containers for safe execution
  • Code-to-runtime reasoning across cloud, Git, and Kubernetes
  • Action-gate enforces read-only policy on every API call
  • Sandboxed JavaScript execution for concurrent research
Pros
  • Open source and self-hostable
  • Multi-layered security pipeline
  • Replaces 10+ separate tools with one platform
  • Multi-agent orchestration saves time and context switching
  • Covers full OWASP Agentic Top-10 in a realistic manner
  • Docker isolation prevents accidental damage
  • Read-only by construction prevents accidental writes
  • Evidence-backed verification cross-checks every finding
Cons
  • Requires integration effort and code changes
  • Relatively new project with smaller community
  • Free tier limited to 5,000 credits per month
  • May have a learning curve for complex workflows
  • Requires Docker and technical setup
  • Not for production use; only for lab environments
  • Requires an LLM API key, incurring token costs
  • Limited to read-only operations, cannot remediate
Best For
  • Development teams building AI agents that need guardrails
  • Enterprises requiring audit-grade agent action logs
  • Marketing teams
  • Content creators
  • Security researchers focusing on AI agent vulnerabilities
  • Developers building MCP-based applications
  • Security engineers
  • DevOps teams

How to use Lelu?

  1. 1Install the SDK: npm install lelu-agent-auth or pip install lelu-agent-auth-sdk.
  2. 2Import and create the client with your API key.
  3. 3Use lelu.authorize() before executing agent actions, passing tool name and context.
  4. 4Handle decision outcomes: allow, human_review, compute, or deny.
  5. 5For local testing, clone the repo and run ./demo.sh in examples/quickstart.

Lelu Key Features

  • Confidence-aware gating
  • Human-in-the-loop review
  • Policy-as-code with YAML and Rego
  • Full audit trail
  • Prompt injection detection
  • Shadow agent detection
  • OAuth Token Vault with AES-256-GCM encryption
  • NHI inventory with risk scoring

Lelu Use Cases

  • Securing AI agents from prompt injection attacks
  • Authorizing agent actions based on confidence thresholds
  • Implementing human approval for risky or uncertain tasks
  • Auditing all agent decisions for compliance and safety

Lelu Pricing & Free Credits

Lelu currently operates on a Free model.

This tool is completely free to use

Open Source (Self-Hosted)

Free

MIT licensed, self-host with Docker or Helm.

Lelu Pros & Cons

Pros

  • Open source and self-hostable
  • Multi-layered security pipeline
  • Works with major AI frameworks (OpenAI, Anthropic, LangChain, etc.)
  • Provides human-in-the-loop review
  • Comprehensive audit trail

Cons

  • Requires integration effort and code changes
  • Relatively new project with smaller community
  • Performance overhead from multiple checks

What is Lelu best for?

  • Development teams building AI agents that need guardrails
  • Enterprises requiring audit-grade agent action logs
  • Anyone using OpenAI, Anthropic, LangChain, or CrewAI

Lelu FAQ

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