Generate policies with Claude, enforce with Actra
Enforce guardrails for AI agents, APIs, and workflows - at runtime.
Evaluate policies inside your application.
No servers. No latency. Deterministic decisions.
Open-source • Lightweight
Agentic governance is the ability to control what AI agents can do at runtime -
including tools, APIs and workflows.
As AI systems become autonomous, policy must move from infrastructure
to execution. Actra enforces decisions exactly where actions happen.
Actra is an in-process policy engine built for AI agent governance, real-time guardrails and runtime decision control.
No sidecars. No services. Policies run directly inside your application.
Node, Bun, Deno, browser, and edge - one engine across all runtimes.
Control actions, tools, and workflows in real-time.
Same input always produces the same decision across environments.
Modern systems don’t just respond - they act. APIs execute operations, workflows automate decisions, and AI agents take actions. Policy can no longer sit behind infrastructure - it must run where actions happen.
A shift from infrastructure policy to execution control
Eliminate network calls and external services. Decisions happen inside your application.
From backend to browser to edge - one engine, consistent behavior everywhere.
Define what agents, APIs, and workflows are allowed to do - before execution.
Every decision is consistent, explainable, and safe to rely on in production.
AI systems are no longer passive - they act.
Policy must execute at the point of action, not behind infrastructure.
Actra evaluates policies in-process at runtime - before actions execute.
Define rules once, and enforce them across AI agents, APIs, and workflows
without network calls or external services.
Write declarative rules for actions, tools, and workflows.
Actra runs inside your app and evaluates decisions instantly.
Allow or block actions before they happen.
Writing policies manually can be complex.
Actra provides a Claude Skill to generate policies using natural language.
Describe what should be allowed or blocked - get valid policy YAML instantly.
Write rules in plain English - no need to learn policy syntax.
Claude converts your intent into structured Actra policies.
Load into Actra and enforce decisions before execution.
Evaluate policies in real-time with a simple API.
Runs real Actra WASM locally in your browser
Actra is a modern alternative to Open Policy Agent (OPA) and AWS Cedar, designed specifically for AI agents, APIs and runtime execution control.
Most policy engines run as infrastructure. Actra runs inside your application - eliminating latency and external dependencies.
| Core Capability | Actra | OPA | Cedar |
|---|---|---|---|
| 🧭 Designed for |
AI agents & apps Runtime decision control |
Infrastructure policies | Cloud authorization |
| ⚙️ Execution model | 🟢 In-process | 🔴 External | 🔴 External |
| 🌐 Network dependency | 🟢 None | 🔴 Required | 🔴 Required |
| ⚡ Decision latency | 🟢 Zero | 🔴 Network-bound | 🔴 Network-bound |
| 🌍 Edge / browser | 🟢 Native | 🟡 Limited | 🔴 No |
| 🧠 Determinism | 🟢 Deterministic | 🟡 Partial | 🟢 Deterministic |
| 🤖 AI / Agent Capabilities | |||
| 🤖 Agent / MCP support | 🟢 Native (Agents / MCP) | 🔴 No | 🔴 No |
| ⚡ Action-level enforcement | 🟢 Native | 🔴 No | 🔴 No |
| 🔧 Tool / API control | 🟢 Native | 🔴 No | 🔴 No |
| ⏱ Runtime evaluation | 🟢 Real-time | 🟡 Limited | 🟡 Limited |
Actra enables real-time control over agent actions, tools, and workflows.
Install Actra and start evaluating policies locally - no setup required.
$ npm install @getactra/actra$ pip install actraControl what LLM agents can do - tools, APIs and sensitive actions.
Enforce policies before calling external APIs or executing tools.
Evaluate decisions in real-time without network latency.
Replace hardcoded authorization logic with declarative policies.
Whether you're building LLM agents, MCP integrations, or automated workflows,
Actra gives you precise control over what actions are allowed - before execution.
Use Actra to implement AI guardrails, enforce policies and build safe,
deterministic agent systems.
Policy should not live in infrastructure.
It should execute where decisions are made.