Suna

What is Suna

Suna is the world's first general-purpose AI Agent open-source project launched by Kortix, supporting efficient resolution of various tasks in real-world scenarios. Based on natural and fluent conversational interaction, Suna supports intelligent assistance in research and analysis, data processing, and daily affairs, becoming a dedicated digital companion. Suna has powerful features, including browser automation, file management, web crawling, command-line execution, website deployment, and integration with various APIs. Suna combines an intuitive interface with a powerful toolset to solve complex problems and automate workflows. It supports user self-hosting of Suna, enabling multiple application scenarios from research and analysis to daily affairs through simple conversations.

Suna's main features

• Browser automation: Automatically browse web pages, extract data, and complete complex web tasks.
• File management: Create, edit, and manage documents, supporting multiple formats such as text, tables, and report generation.
• Web crawling and search: Scrape web page content, analyze data, and generate summary reports.
• Command-line execution: Execute system tasks, support command-line operations, used in automation scripts and system management.
• Website deployment: Support website deployment and management, helping users quickly build and maintain online services.
• API integration: Integrate with various 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 summaries, scientific paper comparisons, etc.
• Real-time interaction: Provide real-time conversational support, understand user needs, and give instant feedback.

Suna's technical principles

• Backend API: Built based on Python and FastAPI, handling REST interfaces, thread management, and integration with LLMs such as OpenAI and Anthropic.
• Frontend: Based on Next.js and React, providing responsive user interfaces such as a chat interface and dashboard.
• Agent Docker: Provide 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, agent status, analytics, and real-time subscriptions.

Suna's demo use cases

1. Data processing and enrichment

• Prompt: 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.

2. Web search

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

• Prompt：
•  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 ticker: AAPL), including the following content:
  • Overview: company profile, 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, 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 metrics with major competitors in the consumer technology and electronics industry.
  • Value investors: intrinsic value assessment, long-term growth potential, and risk factors.
  • Investment thesis: SWOT analysis and tailored recommendations for different investor types (e.g., long-term holders, value investors, short-term traders).

Suna's official website and open-source project addresses

• Project official website：www.suna.so
• GitHub repository：https://github.com/Kortix-ai/Suna

Suna's product pricing

• Free: 10 minutes of usage per month.
• Pro: $29/month, 4 hours of usage per month.
• Enterprise: $199/month, 40 hours of usage per month.

Suna's use cases

• Market and business analysis: Analyze competitors and industry trends, generate venture capital lists and market reports, and support business decisions.
• Data scraping and information collection: Scrape insurance policies, public tenders, and social media data to provide users with accurate information.
• Personal and administrative tasks: Plan trips, write reports, and manage files to improve personal task processing efficiency.
• Education and research support: Summarize scientific papers and organize study materials to assist academic research and knowledge acquisition.
• Customer service and sales: Generate lead lists, write personalized emails, and optimize SEO to support sales and customer service.