# Agent-Native vs Agno

Agent-Native records 52,065 monthly visits with +90.7% month-over-month growth and Free pricing. Agno records 140,302 monthly visits with -3.3% growth and Contact for Pricing, Free pricing.

| Metric | [Agent-Native](https://openaitools.app/tool/agent-native) | [Agno](https://openaitools.app/tool/agno) |
| :--- | :--- | :--- |
| Website URL | https://www.agent-native.com | https://www.agno.com |
| Categories | AI Agent, AI App Builder, AI Developer Tools, AI Workflow | AI Agent, AI Developer Tools, Large Language Models (LLMs), Open Source AI Models |
| Pricing Model | Free | Contact for Pricing, Free |
| Monthly Visits | 52,065 | 140,302 |
| MoM Growth Rate | +90.7% | -3.3% |
| Primary Market | United States | India |
| Direct Visits | 22,560 | 78,790 |
| Review Score | 4.4 | 4.6 |
| Saved Count | 0 | 2 |
| Supported Platforms | Website | Website |

## Agent-Native

Agent-Native is an open-source framework for building what its authors call agentic applications: software where an AI agent and a human interface are first-class peers rather than an agent bolted onto an existing app. The central idea is that a capability should be defined once. When you declare an action with defineAction(), the same code is callable by the embedded agent, by React components in the UI, by external HTTP clients, and by integrations, so there is no drifting duplicate logic between the automation and the interface.

Around that core, the framework wires together the pieces most agent products end up rebuilding: shared application state so the agent knows what the user is viewing or editing, a shared PostgreSQL database as one source of truth for users and agents, persistent memory and reusable skills, scheduled and event-driven automations, multi-agent teams, and authentication with organizations plus resource-level permissions for viewing, commenting, editing and managing.

Agent-Native is deliberately stack-agnostic. It is TypeScript, open source, and designed so you bring your own LLM, your own database and your own hosting, keeping the application code in your own repository. The project also ships a set of open-source reference apps, including Design, Slides, Clips, Analytics, Calendar, Mail, Content, Assets and Forms, which you can use as-is or fork and customize, and you can start a new project from the CLI or build online through Builder.io.

**Pricing & Plans:** Agent-Native is an open-source framework that is free to use; the project itself is distributed at no cost, and you pay only for whatever you supply yourself, such as your own LLM, database and hosting. Reference apps are described as free to use or customize.

- **One action, every surface:** Declare a capability once with defineAction() and it is automatically available to the agent, the React UI, HTTP clients and integrations, eliminating duplicated logic.
- **Shared state and data:** The agent sees what users are browsing, selecting and editing, and both read and write the same PostgreSQL database as a single source of truth.
- **Skills and memory:** Give agents reusable expertise, persistent context and long-term memory so they stop repeating mistakes and do not need re-explaining.
- **Automations and agent teams:** Run agent work on schedules or in response to events, and delegate to specialist agents within a workspace or across connected agents.
- **Auth, orgs and sharing built in:** Sign-in, user accounts, organization membership, and per-resource permissions for view, comment, edit and manage come wired into the framework.

**Strengths:** Capability is defined once and reused by agent, UI, APIs and integrations, which cuts duplication; Brings your own LLM, database and host, so there is no model or cloud lock-in; Open source TypeScript with application code kept in your repository; Batteries-included auth, organizations, permissions, memory, skills and automations

**Limitations:** Requires TypeScript and full-stack comfort; it is a framework, not a no-code builder; You are responsible for hosting, database operations and LLM costs; The ecosystem and third-party documentation are still relatively young

[Profile (Markdown)](https://openaitools.app/tool/agent-native.md)

## Agno

Agno started life as a lightweight open-source library for building model-agnostic AI agents, and has grown into a full platform for shipping agents to production. The core is the Agno SDK, which offers three composable patterns — agents, teams and workflows — along with 100+ toolkits, memory, knowledge, structured I/O, guardrails, human-in-the-loop steps and evaluations. Because it is model-agnostic, it works with 30+ model providers and can also run agents built with other frameworks such as LangGraph, DSPy or the Claude SDK.

Running agents reliably at scale is framed as a platform problem, so Agno pairs the SDK with AgentOS, a batteries-included runtime that turns agents into an API your product calls and an MCP server that assistants like ChatGPT and Claude can connect to. AgentOS adds durable execution, distributed state, session isolation, resumable streaming, JWT-based RBAC, audit logs, scheduling and deep observability, with a Control Plane UI for traces, sessions, evaluations and usage metrics.

The distinguishing promise is control: agents deploy anywhere you can run a container — your cloud, on-premise or locally — and your data stays in your own database. The project has drawn a large open-source following (tens of thousands of GitHub stars) and is used by teams building support copilots, knowledge agents, research workflows and product-embedded assistants.

**Pricing & Plans:** Agno offers a free open-source SDK, a free tier for getting started, and paid/enterprise plans (including an Enterprise option) for AgentOS, the Control Plane and commercial support. Exact plan pricing is quoted on request, so check the official pricing page for current numbers.

- **Agno SDK with three patterns:** Compose agents, teams and workflows from simple primitives, with 100+ toolkits and reusable capabilities like memory, knowledge, structured output and guardrails.
- **AgentOS runtime:** Turns agents into a production API and an MCP server with durable execution, distributed state, session isolation, resumable streaming, scheduling and JWT-based RBAC.
- **Control Plane observability:** A mission-control UI for every agent, team and workflow run — traces, sessions, evaluations, token usage, audit logs, approvals and user roles.
- **Model-agnostic by design:** Native support for 30+ model providers, plus the ability to run agents built with Agno, LangGraph, DSPy, the Claude SDK or your own code.
- **Runs in your own cloud:** Deploy on any container platform — your cloud, on-premise or locally — and keep data in your own database while still powering a learning loop.

**Strengths:** Open-source core with a large, active community and tens of thousands of GitHub stars; Model-agnostic: works across 30+ providers and can host agents built in other frameworks; Runs in your own cloud or on-premise, so data and infrastructure stay under your control; Batteries-included runtime and Control Plane cover the hard parts of stateful, distributed agents

**Limitations:** The breadth of SDK, AgentOS and Control Plane can be a lot to learn for simple use cases; Commercial plan pricing is quote-based, so costs are harder to estimate up front; Getting full value out of observability and governance features assumes container/cloud deployment knowledge

[Profile (Markdown)](https://openaitools.app/tool/agno.md)

## Frequently Asked Questions

### How do Agent-Native and Agno compare in monthly traffic?

Agent-Native has 52,065 monthly visits, while Agno has 140,302. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Agent-Native has a month-over-month growth rate of +90.7%; Agno has -3.3%.

### How does pricing compare?

Agent-Native: Free. Agent-Native is an open-source framework that is free to use; the project itself is distributed at no cost, and you pay only for whatever you supply yourself, such as your own LLM, database and hosting. Reference apps are described as free to use or customize. Agno: Contact for Pricing, Free. Agno offers a free open-source SDK, a free tier for getting started, and paid/enterprise plans (including an Enterprise option) for AgentOS, the Control Plane and commercial support. Exact plan pricing is quoted on request, so check the official pricing page for current numbers.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Lovable](https://openaitools.app/tool/lovable) | 31,052,090 | +3.8% | Freemium | Describe your idea in chat and Lovable turns it into a working app or website | [.md](https://openaitools.app/tool/lovable.md) |
| 2 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) |
| 3 | [Manus](https://openaitools.app/tool/manus) | 19,195,779 | -1.7% | Free Trial | A general-purpose AI agent that executes tasks, not just answers them | [.md](https://openaitools.app/tool/manus.md) |
| 4 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Google's agent-first development platform for building and shipping software with AI agents | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 5 | [Base44](https://openaitools.app/tool/base44) | 14,039,232 | +0.5% | Freemium, Paid, Contact for Pricing | Build working apps, websites, and AI agents by describing them | [.md](https://openaitools.app/tool/base44.md) |
| 6 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Describe your idea and Replit builds a working app in minutes | [.md](https://openaitools.app/tool/replit.md) |
| 7 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Node-based workflow automation platform combining robust visual automation with AI agent orchestration capabilities. | [.md](https://openaitools.app/tool/n8n.md) |
| 8 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | No-code builder and deployment platform designed for creating custom enterprise AI agents and automated workflows. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 9 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Open-source visual platform for building LLM apps and agentic workflows, trading Python code for a canvas UI. | [.md](https://openaitools.app/tool/dify-ai.md) |
| 10 | [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | +19.9% | Freemium, Contact for Pricing | Powerful data framework specialized in RAG and document ingestion, but less focused on general agent orchestration loops. | [.md](https://openaitools.app/tool/llamaindex.md) |

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Source: https://openaitools.app/compare/agent-native-vs-agno

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)