Suna by Kortix AI Review 2026: Open-Source AI Agent for Task Automation

Suna by Kortix AI has changed the way people work in 2025. This powerful open-source AI agent helps you complete tasks without much effort. Suna acts like a digital employee who works for you through simple conversations. You can ask Suna to research markets, plan trips, or create reports.

It uses browser automation to search the web and collect data for you. The best part is that Suna is fully open-source, which means anyone can use, modify, or improve it. This review will show you what Suna can do, how it works, and why it might be the AI assistant you need in 2025.

We will look at its features, pricing plans, real-world uses, and how it compares to other AI tools. If you want to make your work easier and faster, Suna might be the solution you need.

Key Takeaways

Here’s what you need to know about Suna by Kortix AI in 2025:

• Suna is a fully open-source AI assistant that anyone can use, modify, or improve
• It works like a digital employee that can complete real-world tasks through natural conversation
• Suna can browse the web, extract data, and create reports without human supervision
• The AI agent operates in a secure environment with strict data verification processes
• You can use Suna for market research, trip planning, talent scouting, and many other tasks
• Suna offers three pricing plans: Free (limited), Pro ($29/month), and Enterprise ($199/month)
• The tool includes browser automation, file management, and API integration features
• Suna was developed by Kortix AI, a company focused on AI workforce solutions
• You can self-host Suna on your own infrastructure for maximum privacy and control
• The software uses advanced language models like Anthropic to understand complex requests
• Suna has a growing community of developers who contribute to its improvement
• The AI agent can break down complex tasks into manageable steps and execute them in sequence
• Suna supports multiple languages for global accessibility
• It offers transparent operation, showing you exactly how it completes each task
• The tool is compatible with various APIs to extend its functionality

What Is Suna by Kortix AI?

Suna is an open-source AI assistant made by Kortix AI. It helps people finish tasks through simple conversations. The main goal of Suna is to work like a human assistant but with the power of AI. You can ask Suna to do research, create reports, or plan events, and it will break down these big tasks into small steps.

The tool uses advanced AI models from Anthropic and other providers to understand what you want. Then it uses a set of tools to complete the work. These tools include web browsing, file creation, and data analysis. What makes Suna different from other AI tools is that it can take actions on its own based on your requests.

Suna works in a secure environment called Daytona. This keeps your data safe while the AI works. The system also checks all information it finds to make sure it’s accurate and reliable.

The name “Suna” comes from the idea of having a digital companion that helps with daily tasks. Kortix AI, the company behind Suna, focuses on creating AI systems that can replace routine human work. They believe that AI like Suna can handle about 70% of tasks that humans currently do.

One important thing about Suna is that it’s completely open-source. This means anyone can see how it works, improve it, or change it to fit their needs. The code is available on GitHub under the Apache License 2.0. This open approach helps build trust and allows the tool to improve faster with help from the community.

Core Features and Capabilities of Suna in 2025

Suna comes with many powerful features that make it useful for different tasks. These features work together to help you get things done faster and easier.

The natural language understanding in Suna lets you talk to it like you would talk to a person. You don’t need to learn special commands or code to use it. Just type what you need, and Suna will understand and start working on it.

The browser automation feature is one of Suna’s strongest points. It can open websites, fill forms, click buttons, and extract data. This helps with tasks like market research or collecting information from multiple sources.

Suna also has file management tools that let it create and edit documents. It can make reports in different formats, including PDF. This is useful when you need to organize information in a clean, professional way.

The web crawling and search functions help Suna find information online. It can search through websites and collect relevant data. This is much faster than manual searching because Suna can process many pages quickly.

For technical users, Suna offers command-line execution. This means it can run system commands and scripts on your computer. This feature is helpful for automation and development tasks.

Suna also integrates with various APIs and services. It can connect to tools like LinkedIn data scraping through RapidAPI. This extends what Suna can do beyond its built-in features.

The autonomous workflow management is perhaps the most impressive feature. Suna creates a roadmap for each task, breaking it into smaller steps. Then it works through these steps in order, adjusting its plan if needed.

All these features are designed to work together seamlessly. This makes Suna a versatile assistant that can handle complex tasks without much supervision.

How to Get Started with Suna by Kortix AI

Getting started with Suna is simple. You have two main options: using the online version or setting up your own self-hosted instance.

For the online version, visit the Suna website at suna.so. Create an account and choose a pricing plan that fits your needs. The free plan lets you try Suna with limited usage time. After signing up, you can start a new conversation with Suna and give it tasks to complete.

If you want more control, you can self-host Suna on your own computer or server. This option gives you full privacy and customization. To self-host, first download the code from GitHub at github.com/kortix-ai/suna. Make sure you have Python 3.11 installed on your system.

Next, set up the required components. You need a Supabase project for the database and a Redis instance for caching. You also need to create a Daytona account for the secure execution environment. Get API keys for the language models (Anthropic is recommended) and optional services like Tavily for search.

Configure the environment files in the backend and frontend folders. Use the example files as templates and fill in your API keys and connection details. If you’re using Docker, you can start all components with a single command: docker compose -f docker-compose.ghcr.yaml up.

Once everything is running, open your browser and go to http://localhost:3000 (or your server address). Create an account and start using your self-hosted Suna instance.

The most important part of using Suna is learning how to communicate with it. Be clear about what you want and provide necessary details. For example, instead of saying “Research AI companies,” try “Find the top 10 AI companies in the US based on funding in 2025, and create a PDF report with their names, websites, and funding amounts.”

Suna works best when you give it specific goals and let it figure out how to achieve them. You can always refine your requests as you see the results.

Real-World Use Cases for Suna in 2025

Suna shines in many real-world situations. Users have found creative ways to use this AI agent for business and personal tasks.

In market research, Suna helps businesses understand their competition. A user asked Suna to analyze the healthcare market in the UK. The AI found major players, their market sizes, strengths, and weaknesses. It then created a PDF report with all this information. This task would take a human researcher days to complete, but Suna finished it in minutes.

For financial analysis, investors use Suna to find funding opportunities. One example is when a user asked for a list of the most important VC funds in the United States based on Assets Under Management. Suna collected this information along with website URLs and contact emails. This helps startups know where to look for funding.

Talent recruitment becomes easier with Suna. HR teams ask it to find qualified candidates on LinkedIn. In one case, Suna found 10 available junior software engineers in Munich, Germany. All candidates had at least a bachelor’s degree in Computer Science and one year of experience. This saved the HR team hours of manual searching.

Trip planning is another popular use case. A user asked Suna to plan a company trip to California for eight people. The AI created a complete itinerary with flights, accommodations, and daily activities. It even checked weather forecasts to suggest appropriate outdoor and indoor activities.

For content creation, marketers use Suna to generate reports and presentations. One user asked Suna to create a spreadsheet with information about Italian lottery games. The AI researched and organized all the public information into a clean, usable format.

Website analysis helps business owners improve their online presence. A user asked Suna to generate an SEO report for their website. The AI identified top-ranking pages by keyword clusters and suggested topics that were missing. This helped the owner improve their content strategy.

These examples show how versatile and powerful Suna is for different tasks and industries.

The Technical Architecture Behind Suna

Suna has a well-designed system that makes it powerful and reliable. Understanding how it works helps you see why it can handle complex tasks.

The system has four main components that work together. First, the Backend API uses Python and FastAPI to handle requests and manage threads. It connects to language models like Anthropic through LiteLLM. This part processes your instructions and plans how to complete tasks.

Second, the Frontend uses Next.js and React to create the user interface. This is where you chat with Suna and see the results of its work. The interface is clean and easy to use, with features like conversation history and file sharing.

Third, the Agent Docker provides a secure environment for execution. Each agent runs in its own isolated container with access to a browser, code interpreter, and file system. This part handles the actual work, like searching the web or creating documents.

Fourth, the Supabase Database stores all the data. It manages user accounts, conversation history, and file storage. It also tracks the state of each agent and collects analytics data.

When you give Suna a task, it first analyzes what you need. Then it breaks this down into smaller steps using the backend API. For each step, it creates a plan and executes it in the Agent Docker environment. All actions and results are stored in the database and shown to you through the frontend.

The system uses a technique called tool-augmented language models. This means Suna can use different tools to extend what the AI can do. For example, it can use a browser tool to visit websites or a file tool to create documents.

Security is important in the architecture. Suna runs each task in a protected environment to prevent harmful actions. It also has strict data verification processes to ensure accuracy and reliability.

Pricing Plans and Cost Analysis for 2025

Suna offers three pricing plans to fit different needs and budgets. Each plan provides access to the same features but with different usage limits.

The Free plan costs nothing and gives you 10 minutes of Suna usage per month. This is good for trying out the service or for occasional simple tasks. The free plan has all the basic features, including browser automation and file creation. It’s limited to public projects only, which means others can see what you’re working on.

The Pro plan costs $29 per month and includes 4 hours of Suna usage. This is the most popular choice for professionals and small teams. With this plan, you get private projects that only you can see. The Pro plan will also include team functionality in the future, allowing multiple people to work with the same Suna instance.

The Enterprise plan costs $199 per month and provides 40 hours of usage. This is designed for organizations with complex needs and higher usage requirements. The Enterprise plan includes everything from the Pro plan plus more usage time.

For users who need more control, self-hosting is an option. This requires technical knowledge but gives you complete freedom over your Suna instance. The costs for self-hosting include:

• Server hosting (varies based on provider)
• API keys for language models (varies based on usage)
• Optional services like Tavily for search (often with free tiers)

When comparing costs, Suna is competitively priced against other AI assistants. Many similar services charge $50-100 per month for basic plans. Suna’s open-source nature keeps costs lower while providing powerful capabilities.

The value proposition of Suna comes from time saved. If Suna can save you even one hour of work per month, it has already paid for itself at the Pro plan level. For businesses, the potential savings are much greater, especially when used for research and data collection tasks.

Comparing Suna to Other AI Assistants in 2025

The AI assistant market is crowded in 2025, but Suna stands out in several ways when compared to other options.

Unlike ChatGPT and Claude, which focus mainly on conversation and content creation, Suna can take real actions. These popular AI chatbots are good for writing and answering questions, but they can’t browse the web or create files on your behalf. Suna combines conversation skills with the ability to complete tasks autonomously.

Manus AI is often seen as Suna’s closest competitor. Both are general AI agents that can perform tasks. However, Manus is a closed-source, proprietary solution that costs more. Suna’s open-source nature gives it an edge in transparency and community support.

AutoGPT and BabyAGI are open-source AI agents like Suna. The main difference is that these projects are more experimental and less user-friendly. Suna offers a polished interface and robust architecture that makes it more suitable for practical use.

Zapier and Make (formerly Integromat) offer automation between web services. While these tools are powerful for connecting apps, they require manual setup of workflows. Suna can understand tasks in natural language and create workflows automatically.

In terms of specific features, Suna’s browser automation is comparable to dedicated tools like Puppeteer or Selenium. However, Suna adds the intelligence to know what to do with these capabilities. Similarly, its data extraction abilities rival specialized tools but with added AI understanding.

For business users, Suna offers advantages over enterprise platforms like Microsoft Copilot or Google Workspace AI. These tools are integrated with specific ecosystems, while Suna works independently across various platforms and services.

The key advantage of Suna is its combination of intelligence, autonomy, and transparency. It can understand complex requests, break them down into steps, and execute them without constant supervision. And because it’s open-source, users can trust how it works and customize it to their needs.

The Open-Source Advantage: Community and Transparency

Suna’s open-source nature gives it important advantages over closed AI systems. This approach benefits users and helps the software improve faster.

The source code for Suna is publicly available on GitHub. Anyone can view, download, or modify it under the Apache License 2.0. This transparency builds trust because users can see exactly how the AI works. There are no hidden functions or data collection that users don’t know about.

A growing community of developers contributes to Suna’s improvement. These contributors fix bugs, add features, and enhance performance. This collective effort makes Suna better at a faster rate than if a single company worked on it alone.

Users can customize Suna to fit their specific needs. If a business needs special features or integrations, they can modify the code themselves or hire developers to do so. This flexibility is not possible with closed-source AI assistants that offer only what the company provides.

The open-source model also promotes ethical AI development. The community can review the code to ensure it respects privacy and follows best practices. Users don’t have to worry about their data being used in ways they didn’t agree to.

For businesses concerned about vendor lock-in, open-source offers freedom. If a company using Suna wants to change something or move to a different solution, they own their data and can export it easily. They’re not tied to a single provider as with proprietary systems.

The knowledge sharing in the Suna community benefits everyone. When one user finds a new way to use Suna or solves a problem, they can share their solution with others. This creates a positive cycle of learning and improvement.

For developers, Suna serves as an educational resource about AI agents. They can study how it works and apply those lessons to their own projects. This speeds up innovation in the AI field as a whole.

Setting Up Suna for Optimal Performance

Getting the best results from Suna requires proper setup and understanding of its capabilities. These tips will help you optimize your experience.

For the self-hosted version, choose the right infrastructure. A server with at least 4GB of RAM and 2 CPU cores will provide smooth performance. For heavy usage, consider 8GB RAM and 4 cores. Use SSD storage for faster database operations.

Select the appropriate language model for your needs. Anthropic is recommended because it works best with Suna’s prompt format. If you use other models through LiteLLM, you may need to adjust prompts for optimal results.

API keys for additional services can enhance Suna’s capabilities. The Tavily API improves search functions, while Firecrawl helps with web scraping. RapidAPI access enables integration with services like LinkedIn data collection.

Configure the Redis cache properly to speed up responses. For production use, enable persistence to prevent data loss during restarts. Set appropriate memory limits based on your usage patterns.

For the Supabase database, create regular backups of your data. Set up proper security rules to control access to sensitive information. Consider using the paid plans for production use to get better performance and support.

Docker configuration can be optimized for your environment. Use volume mounts to persist data between container restarts. Adjust resource limits based on your server capabilities.

When using Suna, clear instructions lead to better results. Be specific about what you want and provide necessary context. For example, instead of asking “Find information about smartphones,” say “Find the top 5 smartphones released in 2025 ranked by battery life, with prices and key features.”

Use follow-up questions to refine results. If Suna’s initial response doesn’t meet your needs, ask for more details or different formatting. The AI learns from these interactions and improves over time.

For complex tasks, consider breaking them down into separate conversations. This helps Suna focus on one aspect at a time and produces better overall results.

Security and Privacy Considerations

Using AI assistants raises questions about security and privacy. Suna addresses these concerns in several ways.

The isolated execution environment is a key security feature. Each Suna agent runs in its own Docker container, separated from your main system. This prevents any potentially harmful code from affecting your computer or accessing sensitive files.

For data protection, Suna implements strict verification processes. When it extracts information from websites, it saves raw data to files and compares it with the source. This ensures accuracy and prevents manipulation of the data.

The open-source code allows security experts to audit Suna for vulnerabilities. This transparent approach means potential security issues can be identified and fixed quickly. Users don’t have to trust a company’s claims about security – they can verify it themselves.

With the self-hosted option, your data stays on your infrastructure. This gives you complete control over who can access your conversations and files. For businesses with strict data regulations, this is often a requirement.

Suna’s architecture includes role-based access control through Supabase. This means you can control who can see and use different parts of the system. Administrators can set permissions for teams and individual users.

For API security, Suna uses secure token authentication and HTTPS encryption. API keys are stored securely and never exposed in client-side code. The system also implements rate limiting to prevent abuse.

The data retention policies can be customized in self-hosted deployments. You can decide how long to keep conversation history and files based on your requirements. This helps comply with regulations like GDPR that require data minimization.

It’s important to remember that while Suna has strong security features, users are responsible for what they ask it to do. Don’t use Suna to access sensitive systems or process highly confidential information unless you’ve thoroughly reviewed and secured your setup.

For organizations, creating a usage policy for Suna is recommended. This should outline what types of tasks are appropriate and what data can be processed through the system.

Extending Suna’s Capabilities with Integrations

Suna becomes even more powerful when connected to other tools and services. These integrations extend what the AI can do and help it fit into your existing workflows.

The RapidAPI integration is particularly useful. It gives Suna access to hundreds of APIs for specific services. For example, the LinkedIn data scraper API helps with recruiting tasks, while finance APIs provide market data for investment research.

For document processing, Suna works with file conversion APIs. These let Suna handle different formats like PDF, Word, and Excel. It can extract information from these files or create new documents based on your needs.

The Tavily search API enhances Suna’s research capabilities. It provides better search results than simple web queries, with more relevant and recent information. This makes Suna more effective for market research and information gathering.

Users who need web scraping can benefit from the Firecrawl API integration. This service helps Suna extract data from websites, even those with complex structures. It handles challenges like JavaScript rendering and CAPTCHAs that might block normal scraping.

For developers, Suna supports webhook notifications. This means it can send alerts to other systems when tasks are completed or when specific conditions are met. This is useful for building automated workflows that involve multiple tools.

The Supabase integration provides real-time updates and secure data storage. This allows multiple users to collaborate on projects and see changes instantly. The database also stores file attachments and conversation history for easy reference.

You can extend Suna with custom tools by adding new Python modules. Developers can create specialized tools for their industry or company needs. For example, a marketing team might add tools for social media management or SEO analysis.

The command-line access lets Suna run scripts and programs on your system. This means it can interact with locally installed software and perform tasks that aren’t possible through web interfaces alone.

For businesses using Microsoft 365 or Google Workspace, Suna can integrate with these platforms through their APIs. This allows it to access calendars, emails, and documents within these ecosystems.

Success Stories: How Businesses Use Suna in 2025

Many businesses have found success with Suna in 2025. Their stories show the practical benefits of using this AI assistant in different industries.

A marketing agency in London uses Suna to research competitors for their clients. Before Suna, they spent days manually gathering information about market trends and competitor strategies. Now, Suna completes this research in hours, creating detailed reports that the team can customize for client presentations. The agency estimates they save 20 hours per week on research tasks.

A startup founder used Suna to identify potential investors. She asked Suna to find venture capital firms that had invested in similar companies in her industry. Suna created a spreadsheet with contact information, investment history, and focus areas for each firm. Using this information, the founder secured meetings with five investors and eventually received funding from one of them.

A real estate company implemented Suna to analyze property listings. The AI searches multiple websites for properties that match specific criteria and compiles the results in a standardized format. This helps agents find the best options for their clients without spending hours on manual searches. The company reports a 30% increase in agent productivity since adopting Suna.

An e-commerce business uses Suna for product research and pricing analysis. The AI monitors competitor websites and tracks price changes for similar products. It also analyzes customer reviews to identify common complaints and preferences. This information helps the business adjust their pricing strategy and improve their products. Sales have increased by 15% since they started using this data-driven approach.

A financial analyst uses Suna to prepare for client meetings. He asks Suna to summarize recent news and market trends related to specific investments. The AI creates briefing documents that highlight key points and potential impacts on investment strategies. This preparation saves the analyst time and helps him provide more informed advice to clients.

A content creator relies on Suna for research and fact-checking. Before publishing articles, she asks Suna to verify facts and find supporting evidence for her claims. This improves the accuracy and credibility of her content. She also uses Suna to identify trending topics in her niche, which helps her create more relevant content for her audience.

Troubleshooting Common Issues with Suna

Like any software, Suna may sometimes encounter problems. Knowing how to solve these issues helps you get the most from the AI assistant.

If you experience slow performance, check your internet connection first. Suna needs a stable connection to access the web and API services. For self-hosted instances, verify that your server has enough resources. Increasing the memory allocation for the Docker containers can improve speed.

When Suna doesn’t understand your request, try rephrasing it with more specific details. Break complex requests into smaller parts. For example, instead of asking for a complete market analysis in one request, first ask for competitor identification, then market sizes, and finally strengths and weaknesses.

If browser automation fails, it might be due to website changes or anti-bot measures. Some websites actively block automated access. In these cases, try using Suna’s search capabilities instead of direct browsing. Alternatively, specify a different website that offers similar information.

For installation problems with self-hosted Suna, check that all required components are properly set up. Verify your API keys and connection strings in the environment files. The GitHub repository has a troubleshooting section with solutions for common setup issues.

When file operations don’t work as expected, check the file permissions in your system. Suna needs read and write access to create or modify files. For self-hosted instances, ensure the Docker volume mounts are configured correctly.

If you see error messages about API limits, you might have reached the usage cap for free services. Consider upgrading to paid tiers for APIs you use frequently. Alternatively, spread tasks across different days to stay within daily limits.

Sometimes Suna may generate incorrect information. This can happen if the AI misinterprets data or if online sources contain errors. Always verify important information from multiple sources. You can ask Suna to double-check facts or provide references for its statements.

For connectivity issues with the database or Redis, check that these services are running and accessible. Network firewalls or configuration problems can prevent proper communication between components.

If you lose access to your Suna account, use the password reset function on the login page. For self-hosted instances, you can use Supabase admin tools to manage user accounts and reset passwords.

The Suna community forum and GitHub issues page are valuable resources for troubleshooting. Many users share solutions to common problems. The development team also provides regular updates to fix bugs and improve stability.

Frequently Asked Questions

What Is Suna by Kortix AI?

Suna is an open-source AI assistant that helps you complete real-world tasks. It works through natural conversation and can take actions like searching the web, creating files, and analyzing data. The tool was developed by Kortix AI and is designed to work like a digital employee that handles various tasks based on your instructions.

How Much Does Suna Cost?

Suna offers three pricing plans. The Free plan gives you 10 minutes of usage per month at no cost. The Pro plan costs $29 per month and includes 4 hours of usage. The Enterprise plan is $199 per month with 40 hours of usage. All plans include the same features but with different usage limits. You can also self-host Suna on your own infrastructure if you prefer more control.

What Can Suna Do That Other AI Tools Cannot?

Unlike most AI chatbots, Suna can take autonomous actions to complete tasks. It can browse websites, extract data, create documents, and run system commands. It combines the conversation abilities of tools like ChatGPT with the automation capabilities of specialized software. Suna can also be self-hosted for maximum privacy and customization.

Is Suna Secure to Use?

Yes, Suna includes several security features. Each agent runs in an isolated environment to prevent harmful actions. The system implements strict data verification processes to ensure accuracy. For self-hosted instances, your data stays on your infrastructure. The open-source code allows security experts to audit for vulnerabilities. However, users should still follow good security practices and not use Suna for highly sensitive tasks without proper review.

How Do I Get Started with Suna?

To use the online version of Suna, visit suna.so and create an account. Choose a pricing plan and start a new conversation with Suna. For self-hosting, download the code from GitHub and follow the setup instructions. You’ll need to configure components like Supabase, Redis, and Daytona. Get API keys for language models and optional services. Once everything is set up, you can start using Suna through the web interface.

Can I Customize Suna for My Business?

Yes, Suna is highly customizable. Since it’s open-source, you can modify the code to fit your specific needs. Developers can add new tools and integrations or change existing ones. For non-technical users, the self-hosted version allows customization of the environment variables and configuration files. Businesses can also integrate Suna with their existing systems through APIs and webhooks.

What Types of Tasks Can Suna Handle?

Suna excels at information gathering, data analysis, document creation, and workflow automation. Common uses include market research, competitor analysis, trip planning, talent recruitment, content creation, and SEO analysis. It can also help with financial research, product pricing, customer support, and many other tasks that involve searching, collecting, and organizing information.

How Does Suna Compare to Human Assistants?

Suna can work continuously without breaks and can process information much faster than humans. It excels at repetitive tasks and data analysis. However, it lacks the creative thinking, emotional intelligence, and adaptability of human assistants. Suna works best as a complement to human work, handling routine tasks while people focus on creative and strategic activities. The ideal approach is to use Suna for what it does best while maintaining human oversight and direction.