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Comparison

HazelJS vs Agno AgentOS

Agno AgentOS is a Python FastAPI runtime for agents. HazelJS Agent OS is TypeScript-native: DNA, Skillgate, Gatekeeper, and crash-safe HITL in the same DI app as your APIs.

Updated October 11, 2026

HazelJS vs Agno AgentOS

TL;DR

  • Agno AgentOS is a Python FastAPI runtime that turns agent definitions into a served API / MCP service with sessions, RBAC, tracing, and a control plane.
  • HazelJS Agent OS is a TypeScript-native lifecycle inside your existing Node backend: DNA packages, Decision Runtime, Skillgate, Gatekeeper, crash-safe HITL, and local apply — same DI container as your APIs.
  • Choose Agno when your stack is Python and you want a FastAPI-shaped agent server.
  • Choose HazelJS when your product APIs and agents must share one TypeScript codebase — clone Meridian.

Who this is for

Teams comparing:

  • Python agent platforms vs TypeScript backends
  • “Serve agents as FastAPI” vs “agents inside the same app as REST”
  • Multi-framework Python adapters (LangGraph, Claude Agent SDK) vs a TypeScript Agent OS kernel

Stay on Agno if your org is standardized on Python agent stacks and FastAPI ops.

Scope difference

LayerAgno AgentOSHazelJS Agent OS
LanguagePythonTypeScript / Node.js
Serve modelPre-built FastAPI app for agentsAgents run inside your HazelApp (HTTP + DI)
Framework adaptersAgno, LangGraph, DSPy, Claude Agent SDK, …Native @hazeljs/​agent; call other libs if needed
PackagingAgno component versionsAgent DNA + Store + local apply
Tool governancePlatform RBAC / approvalsSkillgate curation + Gatekeeper fail-closed
Durable HITLSessions, background work, approvalsDurable AgentRun suspend / resume + worker leases
Control planeAgno Control Plane (optional)Local apply / Definitions; hosted registry optional

Side-by-side

AspectAgno AgentOSHazelJS Agent OS
Primary metaphorFastAPI for agentsAgent OS inside your TypeScript backend
Where agents liveDedicated AgentOS processSame process / DI as your APIs
OpenAPI → toolsIntegrations / MCPSkillgate fromOpenApi / fromModule
Speculative undoOutside core story@hazeljs/​agent-vm (@Speculate, @Compensate)
Closed-set decisionsBring your ownNative @hazeljs/​decision
npm / Node teamsSecondaryFirst-class

Code sketch (HazelJS)

import { Agent, Tool } from '@hazeljs/​agent';

@Agent({
  name: 'support-desk',
  systemPrompt: 'Help with orders; escalate refunds.',
})
export class SupportDesk {
  @Tool({
    name: 'refund_order',
    description: 'Issue a refund',
    requiresApproval: true,
  })
  async refundOrder(orderId: string, amount: number) {
    /​/​ Real TypeScript side effect — DNA never stubs this
    return { orderId, amount, status: 'pending_approval' };
  }
}

Agents execute via AgentRuntime / AgentOS next to your controllers — not a separate Python service you must glue to Node.

When to choose which

Choose Agno AgentOS when:

  • Python is the agent language of record
  • You want a FastAPI-shaped multi-framework runtime and Agno’s control plane

Choose HazelJS Agent OS when:

  • Backend engineers ship TypeScript APIs and agents together
  • You need DNA packaging, Skillgate, Gatekeeper, and crash-safe HITL without a second language runtime

How to try HazelJS

  1. Agent OS lander
  2. Clone Meridian: git clone https://github.com/​hazel-js/​hazeljs-meridian-ops.git
  3. Guide: Agent OS guide

Related

FAQ

Is HazelJS Agent OS the same as Agno AgentOS?
No. Agno AgentOS is a Python FastAPI runtime that serves agents as an API/MCP service. HazelJS Agent OS is TypeScript-native and runs inside the same DI app as your HTTP APIs.
When should I pick Agno?
Pick Agno when Python is your agent language of record and you want a FastAPI-shaped multi-framework runtime with Agno’s control plane.
When should I pick HazelJS?
Pick HazelJS when TypeScript backend teams need DNA packaging, Skillgate-governed REST tools, Gatekeeper authorization, and crash-safe HITL next to their APIs.
Does HazelJS replace Python agent stacks?
Only for teams that want TypeScript end-to-end. Python-heavy orgs often stay on Agno, LangGraph, or similar.

Docs & next steps

Related comparisons

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