# Agno vs Droidrun Agno records 140,302 monthly visits with -3.3% month-over-month growth and Contact for Pricing, Free pricing. Droidrun records 7,576 monthly visits with -10.3% growth and Free Trial, Contact for Pricing pricing. | Metric | [Agno](https://openaitools.app/tool/agno) | [Droidrun](https://openaitools.app/tool/droidrun) | | :--- | :--- | :--- | | Website URL | https://www.agno.com | https://www.droidrun.ai | | Categories | AI Agent, AI Developer Tools, Large Language Models (LLMs), Open Source AI Models | AI Agent, AI Workflow, Open Source AI Models, AI Productivity Tools | | Pricing Model | Contact for Pricing, Free | Free Trial, Contact for Pricing | | Monthly Visits | 140,302 | 7,576 | | MoM Growth Rate | -3.3% | -10.3% | | Primary Market | India | United States | | Direct Visits | 78,790 | 2,999 | | Review Score | 4.6 | 4.2 | | 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) ## Droidrun Droidrun's core proposition is straightforward: most agent work happens in desktop apps and browsers, but a huge share of real-world tasks — messaging, marketplaces, banking, ride-hailing, field apps — only exist on phones. Droidrun closes that gap by making a phone a first-class interface for AI agents. The company is a GmbH and packages its offering under the mobilerun name. Two complementary products make this work. The mobilerun framework is an open layer that connects any agent to a phone, letting you describe goals in natural language and have the agent inspect the screen, decide on actions and execute them. The project reports a 91.4% success rate on the AndroidWorld benchmark, which makes it one of the stronger open mobile-automation stacks. The mobilerun cloud then removes the hardware problem: real cloud phones and device fleets that agents control through an API, with live streaming, horizontal scaling and authentic device identity so services treat them as normal phones. Because it is open and API-driven, Droidrun suits a wide spread of work: automating testing on real devices, extracting data from mobile-only interfaces, running repetitive cross-app workflows, and building consumer-facing agents that need to act inside apps rather than merely advise the user. The site and repository are the best sources for framework install instructions and cloud onboarding. **Pricing & Plans:** Pricing is listed as free trial with contact-for-pricing. The open-source framework itself is free to use, while the cloud phone and device-fleet service is quoted after a conversation. Check the site for current trial terms. - **Real cloud phones for agents:** Streamed, scalable Android devices that agents control through an API, removing the need to maintain physical handset labs. - **Open mobilerun framework:** An open layer that connects any AI agent to a phone, with strong published results on the AndroidWorld benchmark. - **Natural-language automation:** Describe the outcome you want; the agent reads the screen and decides which taps, swipes and text entries to perform. - **Device fleets at scale:** Run many phones in parallel for testing, data collection or high-volume workflows. - **Authentic device identity:** Cloud phones present a genuine identity so mobile services treat agent traffic as normal app usage. - **Cross-app task execution:** Agents can move between multiple apps to complete multi-step jobs that no single app supports. **Strengths:** Purpose-built for mobile automation rather than a desktop-first tool stretched onto phones; Open framework with transparent, published benchmark performance; Cloud device fleets remove the cost and logistics of physical phone labs; API-first design integrates cleanly with existing agent stacks **Limitations:** Working at the edge of current agent reliability — complex flows still need supervision; The cloud offering is quoted on contact, so costs are hard to predict up front; Getting full value requires some engineering effort to wire the framework into your stack; Mobile interfaces change often, so agents occasionally need re-tuning [Profile (Markdown)](https://openaitools.app/tool/droidrun.md) ## Frequently Asked Questions ### How do Agno and Droidrun compare in monthly traffic? Agno has 140,302 monthly visits, while Droidrun has 7,576. 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%; Droidrun has -10.3%. ### 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. Droidrun: Free Trial, Contact for Pricing. Pricing is listed as free trial with contact-for-pricing. The open-source framework itself is free to use, while the cloud phone and device-fleet service is quoted after a conversation. Check the site for current trial 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 | [Clawdbot (OpenClaw)](https://openaitools.app/tool/clawdbot) | 1,903,068 | -25.4% | Paid, Free | Open-source personal AI assistant that runs on your own machine and works from chat apps | [.md](https://openaitools.app/tool/clawdbot.md) | | 5 | [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) | | 6 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language | [.md](https://openaitools.app/tool/kaneai.md) | | 7 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Build, deploy, and govern production-ready agentic AI workflows | [.md](https://openaitools.app/tool/dify-ai.md) | | 8 | [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) | | 9 | [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) | | 10 | [Coze](https://openaitools.app/tool/coze) | 177,539 | -33.3% | Freemium | Visual agent development platform for building and publishing autonomous bots without complex backend coding. | [.md](https://openaitools.app/tool/coze.md) | --- Source: https://openaitools.app/compare/agno-vs-droidrun More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)