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Suna: Experience the Revolutionary Suna AI Agent for Workflow Automation

What is Suna?

Suna is an open-source general-purpose AI agent developed by the Kortix AI team, specifically designed for automating complex workflows. As a competitor to Manus AI, the Suna AI Agent has garnered significant attention in the open-source community due to its modular architecture and diverse tool integration.

Suna is a fully open-source general AI agent platform released under the Apache 2.0 license. Its core functionalities include browser automation, file management, web scraping, and API integration, enabling users to accomplish real-world tasks through natural language interaction. Unlike closed-source alternatives like Manus AI, Suna allows users to self-deploy and modify code, making the Suna AI Agent ideal for enterprises prioritizing data privacy.

Suna's Technical Architecture

Frontend

Interactive UI built with Next.js/React

Backend

Python/FastAPI for LLM integration & task scheduling

Agent Container

Docker-isolated environments for secure execution

Supabase Database

Manages user data & session history

How to Use Suna AI Agent

Local Deployment Steps for Suna

1. Environment Setup:

git clone https://github.com/kortix-ai/suna.git

cd suna

2. Dependency Configuration:

Supabase project (database)
Redis instance (caching)
Anthropic/OpenAI API keys

3. Service Launch:

# Frontend

cd frontend && npm run dev

# Backend

cd backend && python api.py

4. Docker Deployment:

docker compose -f docker-compose.ghcr.yaml up

Typical Suna Workflow

Describe tasks via chat interface

System auto-breaks tasks into executable steps

Executes browser automation, data extraction in isolated containers

Generates structured reports/output files

Key Features of Suna AI Agent

Core Function Matrix for Suna

Category	Capabilities	Use Case Examples
Browser Automation	Page navigation/form filling/data extraction	Competitor analysis, SEO reports
File Management	Document creation/format conversion/batch processing	Research paper compilation, financial report generation
API Integration	LinkedIn/Zillow data interfaces	B2B lead generation, VC list creation
Deployment	Cloudflare Pages static hosting	Market analysis report display

Suna Technical Highlights

Secure Sandbox: Each Suna AI Agent runs in an isolated Docker container

Hybrid Tool Calling: Supports both OpenAPI & XML instruction parsing

Real-time Streaming: Redis-powered response delivery for Suna

Multi-LLM Support: Integrates Anthropic/OpenAI via LiteLLM with Suna AI Agent

Mastering Suna AI Agent

Advanced Workflow Optimization with Suna

1. Phased Task Execution for Suna AI Agent:

- [ ] Phase 1: Data collection
- [ ] Phase 2: Data cleaning
- [ ] Phase 3: Analysis report generation

2. Custom Tool Extension for Suna:

Inherit `ToolParserBase` to implement new tool logic for Suna
Integrate third-party services via RapidAPI with Suna AI Agent

Performance Tuning for Suna

Context Compression: Enable `compact_context` to optimize token usage for Suna

Reasoning Control: Adjust `max_thought_steps` for Suna AI Agent speed/accuracy balance

Result Caching: Store frequent Suna queries in Redis

Pro Tips for Using Suna AI Agent

For Beginners with Suna

Start with pre-built templates (e.g., corporate travel planning) for Suna
Enable `verbose_logging` to track Suna AI Agent execution
Limit concurrent tasks in Suna to avoid resource overload

For Developers using Suna AI Agent

daytona_api_key for Suna
response_processors.py for Suna AI Agent output formatting
todo.md for Suna task checkpointing/resumption

Frequently Asked Questions About Suna

What is Suna AI Agent?

Suna is an open-source general-purpose AI agent developed by the Kortix AI team, designed for automating complex workflows through browser automation, file management, web scraping, and API integration. It operates under the Apache 2.0 license allowing full code modification.

How does Suna differ from other AI assistants?

Unlike many AI assistants that simply respond to queries, Suna can execute real-world tasks autonomously. It stands apart from competitors like Manus AI through its fully open-source architecture, allowing complete transparency, customization, and self-hosting options.

What are the system requirements to run Suna?

To run Suna locally, you need Docker for containerization, a Supabase project for the database, a Redis instance for caching, and API keys for language models like Anthropic or OpenAI. The recommended system specs include 4GB RAM, 2 CPU cores, and 10GB free disk space.

Can I use Suna for commercial projects?

Yes, Suna is released under the Apache 2.0 license which permits commercial use. You can integrate, modify, and deploy Suna in commercial applications with proper attribution. There are no licensing fees for Suna itself, though third-party API costs still apply.

Does Suna support languages other than English?

Suna's interface and documentation are primarily in English, but it can process and generate content in multiple languages depending on the capabilities of the underlying language models you connect (like Anthropic's Claude or OpenAI's GPT models). Multi-language support continues to improve with each update.

How secure is my data when using Suna?

Since Suna can be self-hosted, your data security is largely under your control. Each Suna AI Agent operates in isolated Docker containers, providing strong separation between tasks. All data processing can happen within your infrastructure, without external exposure unless explicitly configured.

Can I connect Suna to my own custom tools and APIs?

Absolutely. Suna is designed for extensibility. You can create custom tools by inheriting from the `ToolParserBase` class and implement your own logic. Suna's architecture allows for seamless integration with both internal systems and external APIs through standard interfaces.

How does Suna handle large datasets?

Suna implements several strategies for handling large datasets efficiently: (1) Context compression to optimize token usage, (2) Streaming processing to handle data in chunks, (3) Redis caching for frequently accessed data, and (4) Parallel processing capabilities for certain operations.

Is there a hosted/cloud version of Suna available?

While Suna is primarily designed for self-hosting, some community members and organizations offer hosted Suna instances. The Kortix team is reportedly working on an official managed service option, though the core value proposition remains the ability to self-deploy with full control.

How can I contribute to the Suna project?

You can contribute to Suna by submitting pull requests on GitHub, reporting issues, improving documentation, developing new tools/integrations, or sharing your use cases with the community. The project follows standard open-source contribution workflows with code reviews and testing requirements.

Suna vs. Manus AI Comparison

Metric	Suna	Manus AI
License	Fully open-source (Apache 2.0)	Closed-source commercial license
Deployment	Hybrid (local/cloud)	Cloud-only
Pricing	Free base + self-hosted option for Suna	Subscription ($99+/month)
Transparency	Full code auditability for Suna AI Agent	Black-box operations
Performance	68% success rate (complex tasks) [Suna]	72% [Manus AI]
Customization	Deep toolchain modifications for Suna	Limited API extensions

Benchmarks show Suna achieves a 58% success rate in website deployment (vs. Manus' 75%) but leads in data extraction (83% accuracy). Its open-source nature allows developers to enhance performance by modifying the Suna AI Agent Docker component.