Suna – Kortix launches the world’s first universal AI Agent open source project

What is Suna

Suna is the world’s first universal AI Agent open source project launched by Kortix, which supports efficient solution to various tasks in real-life scenarios. Based on natural and smooth dialogue interaction, Suna supports intelligent assisted research and analysis, data processing and daily affairs, becoming an exclusive digital partner. Suna has powerful features including browser automation, file management, web crawlers, command line execution, website deployment and integration with multiple APIs. Suna combines an intuitive interface and a powerful tool set to solve complex problems and automate workflows. Supports users to host Suna, and use simple dialogue to realize a variety of application scenarios from research and analysis to daily transactions.

The main functions of Suna

• Browser automation: Automatically browse web pages, extract data, and complete complex network tasks.
• File Management: Create, edit and manage documents, supporting multiple formats such as text, tables and report generation.
• Web crawlers and search: Crawl web page content, analyze data, and generate a summary report.
• Command line execution: Execute system tasks, support command-line operations, and is used in automated scripts and system management.
• Website deployment: Support website deployment and management, helping users quickly build and maintain online services.
• API Integration: Integrate with a variety of APIs and services, such as LinkedIn, Crunchbase, etc., to obtain and process third-party data.
• Data analysis and report generation: Analyze data to generate reports, such as market analysis, product review summary, scientific paper comparison, etc.
• Real-time interaction: Provide real-time dialogue support to understand user needs and instant feedback.

The technical principles of Suna

• Backend API: Built based on Python and FastAPI, handling REST interfaces, thread management and integration with LLMs such as OpenAI and Anthropic.
• front end: Based on Next.js and React, it provides responsive user interfaces such as chat interfaces and dashboards.
• Agent Docker: Provides an isolated execution environment for each agent, supporting browser automation, code interpreter, file system access, tool integration and security features.
• Supabase database: Handle data persistence, including authentication, user management, conversation history, file storage, proxy status, analysis and real-time subscription.

Suna’s demo use cases

1. Data processing and enhancement

• Prompt words:I have this Excel file with B2B leads for my business. For each company, find the LinkedIn page. Then, tell me who is the CEO/Founder of the company and the head of sales/marketing of the company.Last, add a 1-line description of what the company does.Add all of these requests to the Excel file. (I have an Excel file with a B2B lead for my business. For each company, find their LinkedIn page. Then, tell me who the CEO/founder of the company is, and who the sales/market leader of the company is. Finally, add a line to describe what the company does. Add all these requests to the Excel file.)

2. Online search

• Prompt words: Research about Suna.so and explain what it is.

3. Data research and visualization

• Prompt words：
• Give me thorough analysis of Apple Inc. (AAPL), including:
  • Summary: Company overview, key metrics, historical performance data, and investment recommendations.
  • Financial Data: Revenue trends, profit margins, balance sheet strength, and cash flow analysis.
  • Market Sentiment: Analyst ratings, sentiment indicators, and recent news impact.
  • Technical Analysis: Price trends, key technical indicators, and current support/resistance levels.
  • Compare Assets: Market share and financial metrics compared to key competitors in the consumer tech and electronics industry.
  • Value Investor: Intrinsic value estimation, long-term growth potential, and risk factors.
  • Investment Thesis: SWOT analysis and tailored recommendations for different investor profiles (e.g. long-term holders, value investors, swing traders).
• Please conduct a comprehensive analysis of Apple Inc. (stock code: AAPL), including the following:
  • Summary: Company profile, key indicators, historical performance data and investment advice.
  • Financial data: Income trends, profit margins, balance sheet strength and cash flow analysis.
  • Market sentiment: Analyst ratings, market sentiment indicators, and the impact of recent news.
  • Technical analysis: Price trends, key technical indicators, and current support/resistance levels.
  • Asset comparison: Comparison of market share and financial indicators with key competitors in the consumer technology and electronics industry.
  • Value Investors: Intrinsic Value Assessment, Long-term Growth Potential and Risk Factors.
  • Investment Argument: SWOT analysis and customized recommendations for different types of investor (e.g., long-term holders, value investors, short-term traders).

Suna’s official website and open source project address

Suna’s product pricing

• Free (free): Use 10 minutes per month.
• Pro (Professional): $29/month, 4 hours per month.
• Enterprise: $199/month, 40 hours per month.

Suna application scenarios

• Market and Business Analysis: Analyze competitors and industry trends, generate venture capital lists and market reports, and assist in business decision-making.
• Data crawling and information collection: Crawl insurance policies, public bidding, and social media data to provide users with accurate information.
• Personal and administrative tasks: Planning travel, writing reports, managing documents, and improving personal transaction efficiency.
• Education and research support: Summarize scientific papers, organize learning materials, and assist in academic research and knowledge acquisition.
• Customer Service and Sales: Generate lead lists, write personalized emails, optimize SEO, and help sales and customer service.

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