# Agno vs OpenAgents

Agno records 140,302 monthly visits with -3.3% month-over-month growth and Contact for Pricing, Free pricing. OpenAgents records 38,286 monthly visits with +48.4% growth and Freemium pricing.

| Metric | [Agno](https://openaitools.app/tool/agno) | [OpenAgents](https://openaitools.app/tool/openagents) |
| :--- | :--- | :--- |
| Website URL | https://www.agno.com | https://openagents.org |
| Categories | AI Agent, AI Developer Tools, Large Language Models (LLMs), Open Source AI Models | AI Agent, AI Developer Tools, Open Source AI Models |
| Pricing Model | Contact for Pricing, Free | Freemium |
| Monthly Visits | 140,302 | 38,286 |
| MoM Growth Rate | -3.3% | +48.4% |
| Primary Market | India | India |
| Direct Visits | 78,790 | 11,710 |
| Review Score | 4.6 | 4.5 |
| Saved Count | 2 | 0 |
| 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)

## OpenAgents

OpenAgents positions itself as the "collaboration OS for AI agents." The core idea is that if your human team already lives in a chat tool, your agents should live there too: the same threads, the same files, the same task board. The product is split into two halves. OpenAgents Workspace is the shared browser workspace — threads, messaging, files, a knowledge base, a live browser view, tasks, workflows and routines — and requires no installation. OpenAgents Launcher is a desktop application that installs, configures and runs agents on your own computer (Claude Code, Codex, Aider, Cursor and similar CLI agents) and pairs them back into your workspace.

Agents stay where you want them to run. Cloud agents are hosted for you, while local agents run on your machine so code and files remain local, connected through a pairing code or the CLI. The workspace itself is a coordinator, not an executor: it relays messages, shares files and knowledge, tracks tasks and streams agent activity live, but it does not run your code. Because agents connect over open protocols including MCP, you are not locked into a single model provider or agent runtime.

Deployment is flexible by design. You can create a hosted workspace on openagents.org in seconds and start free, or self-host the entire stack — Workspace, Launcher and CLI — on your own infrastructure under the Apache 2.0 license, keeping data inside your own environment with roles, membership and access control. The project publishes a Python SDK, a connector API and a CLI for building custom agents, and its documentation and roadmap are public.

**Pricing & Plans:** Free to start. A hosted, managed workspace can be created in seconds at no cost, and the full platform is open source under Apache 2.0 for self-hosting on your own infrastructure. Pricing details for paid/enterprise plans are not published on the homepage, so check the site for current terms.

- **Shared workspace for humans and agents:** Threads, files and a knowledge base where teammates and agents operate side by side, with @mentions to delegate tasks and visible agent replies in real time.
- **Launcher desktop app:** Installs, configures and connects agents that run on your own computer — such as Claude Code, Codex, Aider and Cursor — so local code and files stay local.
- **Doer and reviewer agent roles:** Route work to one agent that executes and another that reviews it, then follow their progress inside a proactive thread and step in when needed.
- **Tasks, workflows and routines:** Track follow-ups on an Issues/Tasks board and automate recurring work with workflows and routines fitted around agent activity.
- **Open source and self-hostable:** The whole platform is Apache 2.0 licensed, with open protocols including MCP, a Python SDK, a connector API and full documentation for self-hosting.

**Strengths:** Open source under Apache 2.0 with a genuine self-hosting path; Works with existing CLI agents instead of locking you to one vendor; Agents can run locally so code and files never leave your machine; Available on web, desktop, iOS and Android

**Limitations:** Concept of a shared human-plus-agent workspace takes some onboarding; Rich feature set means more setup than a single-purpose chat agent; Some advanced collaboration features are still evolving around Workspace v1.1

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

## Frequently Asked Questions

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

Agno has 140,302 monthly visits, while OpenAgents has 38,286. 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%; OpenAgents has +48.4%.

### 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. OpenAgents: Freemium. Free to start. A hosted, managed workspace can be created in seconds at no cost, and the full platform is open source under Apache 2.0 for self-hosting on your own infrastructure. Pricing details for paid/enterprise plans are not published on the homepage, so check the site for current terms.

## 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 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) |
| 3 | [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | -5.4% | Freemium | A free, open-source personal AI agent that learns your projects and works across every messaging app. | [.md](https://openaitools.app/tool/hermes-agent-1.md) |
| 4 | [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) |
| 5 | [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) |
| 6 | [LobeHub](https://openaitools.app/tool/lobehub) | 654,548 | -25% | Freemium | Put always-on AI agents on your team chat | [.md](https://openaitools.app/tool/lobehub.md) |
| 7 | [Eigent AI](https://openaitools.app/tool/eigent-ai) | 575,703 | +1.4% | Freemium, Free Trial, Contact for Pricing | Open-source desktop AI workforce that runs browser, file, and app tasks for you | [.md](https://openaitools.app/tool/eigent-ai.md) |
| 8 | [Multica](https://openaitools.app/tool/multica) | 449,583 | -1.2% | Free Trial | Project management that turns coding agents into real teammates | [.md](https://openaitools.app/tool/multica.md) |
| 9 | [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) |
| 10 | [Activepieces](https://openaitools.app/tool/activepieces) | 258,553 | +1.5% | Freemium | Open-source AI automation that unifies agents, flows and 770+ app integrations | [.md](https://openaitools.app/tool/activepieces.md) |

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

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