# Agno vs Cursor

Agno records 140,302 monthly visits with -3.3% month-over-month growth and Contact for Pricing, Free pricing. Cursor records 23,297,751 monthly visits with +8.4% growth and Freemium pricing.

| Metric | [Agno](https://openaitools.app/tool/agno) | [Cursor](https://openaitools.app/tool/cursor) |
| :--- | :--- | :--- |
| Website URL | https://www.agno.com | https://www.cursor.com |
| Categories | AI Agent, AI Developer Tools, Large Language Models (LLMs), Open Source AI Models | AI Code Assistant, AI Developer Tools, AI Agent |
| Pricing Model | Contact for Pricing, Free | Freemium |
| Monthly Visits | 140,302 | 23,297,751 |
| MoM Growth Rate | -3.3% | +8.4% |
| Primary Market | India | United States |
| Direct Visits | 78,790 | 14,683,770 |
| Review Score | 4.6 | 4.7 |
| Saved Count | 2 | 29 |
| Supported Platforms | Website | Website |

## 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)

## Cursor

Cursor's editor looks familiar to anyone who has used a modern IDE, but the center of gravity is the agent. Instead of only suggesting the next line, it can read a task description, inspect the repository, produce an implementation plan, modify many files, run commands, and report back with a summary of what changed. Developers keep control by approving plans, reviewing diffs, and stepping in wherever judgment is needed.

The product has expanded well beyond a single application. Cloud agents can run on their own machines for extended periods, Cursor ships a CLI, and integrations bring the same agent into Slack and GitHub so work can be handed off without switching tools. A model picker lets you use frontier models from several providers, or rely on automatic selection per task.

This makes Cursor a good fit for teams that want measurable velocity gains on large codebases while keeping human review in the loop. The trade-offs are mostly about cost and process: capable agents consume quota, remote indexing raises questions for security-conscious organizations, and teams need light conventions for when to delegate versus write code directly.

**Pricing & Plans:** Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers.

- **Agent-driven code changes:** An agentic mode that plans changes, edits several files at once, runs tests, and iterates until the task is complete.
- **Cloud and parallel agents:** Background agents spin up their own environments to build, test, and demo features in parallel, then hand back results for review.
- **Tab completion and codebase context:** Fast inline suggestions plus codebase-wide semantic search and indexing so answers reflect your actual repository.
- **Multi-model flexibility:** Switch between leading frontier models from multiple providers, or let Cursor select a model automatically for each task.
- **CLI, Slack and GitHub workflows:** Run Cursor from the terminal, chat with it in Slack, and let it review or open pull requests in GitHub without leaving your workflow.

**Strengths:** Strong repository-wide context and multi-file edits; Agent runs in the editor, cloud, CLI, Slack, and GitHub; Choose from multiple frontier models in one place; Familiar IDE experience for developers coming from other editors

**Limitations:** Requires a paid plan for the most capable models and higher usage; Learning curve to use agentic workflows effectively; Heavy cloud agent usage can consume plan quota quickly; Codebase indexing sends code to remote services, which some compliance teams must review

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

## Frequently Asked Questions

### How do Agno and Cursor compare in monthly traffic?

Agno has 140,302 monthly visits, while Cursor has 23,297,751. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Agno has a month-over-month growth rate of -3.3%; Cursor has +8.4%.

### How does pricing compare?

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. Cursor: Freemium. Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [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) |
| 2 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Provides powerful parallel AI coding agents via a desktop command center, but is less integrated into a traditional editor. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 3 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Enables instant cloud-based full-stack app building from natural language, but is less suited for local offline repositories. | [.md](https://openaitools.app/tool/replit.md) |
| 4 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | Offers unmatched extension support and official Copilot integration, but lacks Cursor's out-of-the-box deep codebase indexing and agentic editing. | [.md](https://openaitools.app/tool/vs-code.md) |
| 5 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | Features advanced multi-file planning and codebase reading, but lacks Cursor's smooth chat-to-edit inline workflows. | [.md](https://openaitools.app/tool/qoder.md) |
| 6 | [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) |
| 7 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Focuses on spec-driven engineering and structured agent planning, but offers less fluid ad-hoc inline code generation than Cursor. | [.md](https://openaitools.app/tool/kiro.md) |
| 8 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Operates as a fully autonomous software engineer for complex tasks, but lacks the snappy interactive inline editing of Cursor. | [.md](https://openaitools.app/tool/devin.md) |
| 9 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 10 | [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) |

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Source: https://openaitools.app/compare/agno-vs-cursor

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