mirror of https://github.com/kortix-ai/suna.git
Adam Cohen Hillel
GitHub
commit
d0a3a1d2ad
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@ -0,0 +1,201 @@
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@ -0,0 +1,244 @@
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<div align="center">
|
||||
|
||||
# Suna - Open Source Generalist AI Agent
|
||||
|
||||
(that acts on your behalf)
|
||||
|
||||
|
||||
|
||||
Suna is a fully open source AI assistant that helps you accomplish real-world tasks with ease. Through natural conversation, Suna becomes your digital companion for research, data analysis, and everyday challenges—combining powerful capabilities with an intuitive interface that understands what you need and delivers results.
|
||||
|
||||
Suna's powerful toolkit includes seamless browser automation to navigate the web and extract data, file management for document creation and editing, web crawling and extended search capabilities, command-line execution for system tasks, website deployment, and integration with various APIs and services. These capabilities work together harmoniously, allowing Suna to solve your complex problems and automate workflows through simple conversations!
|
||||
|
||||
[](./license)
|
||||
[](https://discord.gg/Py6pCBUUPw)
|
||||
[](https://x.com/kortixai)
|
||||
[](https://github.com/kortix-ai/agentpress)
|
||||
[](https://github.com/kortix-ai/agentpress/labels/bug)
|
||||
</div>
|
||||
|
||||
|
||||
## Table of Contents
|
||||
|
||||
- [Suna Architecture](#project-architecture)
|
||||
- [Backend API](#backend-api)
|
||||
- [Frontend](#frontend)
|
||||
- [Agent Docker](#agent-docker)
|
||||
- [Supabase Database](#supabase-database)
|
||||
- [Run Locally / Self-Hosting](#run-locally--self-hosting)
|
||||
- [Requirements](#requirements)
|
||||
- [Prerequisites](#prerequisites)
|
||||
- [Installation Steps](#installation-steps)
|
||||
- [License](#license)
|
||||
|
||||
## Project Architecture
|
||||
|
||||
|
||||
|
||||
Suna consists of four main components:
|
||||
|
||||
### Backend API
|
||||
Python/FastAPI service that handles REST endpoints, thread management, and LLM integration with OpenAI, Anthropic, and others via LiteLLM.
|
||||
|
||||
### Frontend
|
||||
Next.js/React application providing a responsive UI with chat interface, dashboard, etc.
|
||||
|
||||
### Agent Docker
|
||||
Isolated execution environment for every agent - with browser automation, code interpreter, file system access, tool integration, and security features.
|
||||
|
||||
### Supabase Database
|
||||
Handles data persistence with authentication, user management, conversation history, file storage, agent state, analytics, and real-time subscriptions.
|
||||
|
||||
## Use Cases
|
||||
|
||||
1. **Competitor Analysis** ([Watch](https://suna.so/use-case/competitor-analysis)) - *"Analyze the market for my next company in the healthcare industry, located in the UK. Give me the major players, their market size, strengths, and weaknesses, and add their website URLs. Once done, generate a PDF report."*
|
||||
|
||||
2. **VC List** ([Watch](https://suna.so/use-case/vc-list)) - *"Give me the list of the most important VC Funds in the United States based on Assets Under Management. Give me website URLs, and if possible an email to reach them out."*
|
||||
|
||||
3. **Insurance Policies** ([Watch](https://suna.so/use-case/insurance-policies)) - *"Find me the best insurance policy per pricing for my house, located in Milan, Italy. Scrape Italian companies in the insurance market for houses."*
|
||||
|
||||
4. **Looking for Candidates** ([Watch](https://suna.so/use-case/looking-for-candidates)) - *"Go on LinkedIn, and find me 10 profiles available - they are not working right now - for a junior software engineer position, who are located in Munich, Germany. They should have at least one bachelor's degree in Computer Science or anything related to it, and 1-year of experience in any field/role."*
|
||||
|
||||
5. **Writing Report** ([Watch](https://suna.so/use-case/writing-report)) - *"Write me a detailed report about what's happened in the US stock market in the last 2 weeks. Analyze the S&P 500 trend, and tell me what the market is expecting to see in the upcoming weeks. This is a report analysis for a Bank CFO."*
|
||||
|
||||
6. **Product Reviews** ([Watch](https://suna.so/use-case/product-reviews)) - *"Go on Amazon, and find me the most common product issues related to the Nespresso Machine - you can find them by reading the reviews. Once done, write me a short report about common issues that could be converted into competitive advantage for a new Nespresso Machine."*
|
||||
|
||||
7. **Game Generation** ([Watch](https://suna.so/use-case/game-generation)) - *"Generate a Mini Game where the Player needs to drive a spaceship and fight against interstellar aliens. The aliens should be green, while the main player should be white. Make it with a 90' style."*
|
||||
|
||||
8. **Planning Company Trip** ([Watch](https://suna.so/use-case/planning-company-trip)) - *"Generate me a route plan for my company. We should go to California. We'll be in 8 people. Compose the trip from the departure (Paris, France) to the activities we can do considering that the trip will be 7 days long - departure on the 21st of Apr 2025. Check the weather forecast and temperature for the upcoming days, and based on that, you can plan our activities (outdoor vs indoor)."*
|
||||
|
||||
9. **Working on Excel** ([Watch](https://suna.so/use-case/working-on-excel)) - *"My company asked me to set up an Excel spreadsheet with all the information about Italian lottery games (Lotto, 10eLotto, and Million Day). Based on that, generate and send me a spreadsheet with all the basic information (public ones)."*
|
||||
|
||||
10. **Scraping Databases** ([Watch](https://suna.so/use-case/scraping-databases)) - *"Search for open tender databases (e.g. EU TED, US SAM.gov), find relevant procurement calls in the clean tech industry, summarize requirements, and generate a report about it."*
|
||||
|
||||
11. **Automate Event Speaker Prospecting** ([Watch](https://suna.so/use-case/automate-event-speaker-prospecting)) - *"Find 20 AI ethics speakers from Europe who've spoken at conferences in the past year. Scrapes conference sites, cross-references LinkedIn and YouTube, and outputs contact info + talk summaries."*
|
||||
|
||||
12. **Summarize and Cross-Reference Scientific Papers** ([Watch](https://suna.so/use-case/summarize-cross-reference-scientific-papers)) - *"Research and compare scientific papers talking about Alcohol effects on our bodies during the last 5 years. Generate a report about the most important scientific papers talking about the topic I wrote before."*
|
||||
|
||||
13. **Generating Leads** ([Watch](https://suna.so/use-case/generating-leads)) - *"I need to generate at least 20 B2B leads to reach out for my new AI tool. It's a customer support tool, then I'll need to have companies located in Spain, Barcelona, with 10-50 employees (find a way to get the number of employees). List me their names, websites, size (employees), and contact information if public."*
|
||||
|
||||
14. **Research + First Contact Draft** ([Watch](https://suna.so/use-case/research-first-contact-draft)) - *"Research my potential customers (B2B) on LinkedIn. They should be in the clean tech industry. Find their websites and their email addresses. After that, based on the company profile, generate a personalized first contact email where I present my company which is offering consulting services to cleantech companies to maximize their profits and reduce their costs."*
|
||||
|
||||
15. **SEO Analysis** ([Watch](https://suna.so/use-case/seo-analysis)) - *"Based on my website suna.so, generate an SEO report analysis, find top-ranking pages by keyword clusters, and identify topics I'm missing."*
|
||||
|
||||
16. **Clustering Public Reviews** ([Watch](https://suna.so/use-case/clustering-public-reviews)) - *"Clusterize public reviews for McDonald's by scraping them on public pages like Google Reviews, then generate a detailed report about the most common feedback and reviews (from 5 to 1 star), generate cluster to obtain insights about what can be improved and what is producing good results for the McDonald's brand."*
|
||||
|
||||
17. **Generate a Personal Trip** ([Watch](https://suna.so/use-case/generate-personal-trip)) - *"Generate a personal trip to London, with departure from Bangkok on the 1st of May. The trip will last 10 days. Find an accommodation in the center of London, with a rating on Google reviews of at least 4.5. Find me interesting outdoor activities to do during the journey. Generate a detailed itinerary plan."*
|
||||
|
||||
18. **Scrape and Monitor Stocks** ([Watch](https://suna.so/use-case/scrape-monitor-stocks)) - *"I want to monitor the 10 biggest public companies in Portugal. Scrape them on the internet, and find the public ones with the price/share available in the last 30 trading days. Generate a report based on the data you find."*
|
||||
|
||||
19. **Recently Funded Startups** ([Watch](https://suna.so/use-case/recently-funded-startups)) - *"Go on Crunchbase, Dealroom, and TechCrunch, filter by Series A funding rounds in the SaaS Finance Space, and build a report with company data, founders, and contact info for outbound sales."*
|
||||
|
||||
20. **Scrape Forum Discussions** ([Watch](https://suna.so/use-case/scrape-forum-discussions)) - *"I need to find the best beauty centers in Rome, but I want to find them by using open forums that speak about this topic. Go on Google, and scrape the forums by looking for beauty center discussions located in Rome. Then generate a list of 5 beauty centers with the best comments about them."*
|
||||
|
||||
## Run Locally / Self-Hosting
|
||||
|
||||
Suna can be self-hosted on your own infrastructure. Follow these steps to set up your own instance.
|
||||
|
||||
### Requirements
|
||||
|
||||
You'll need the following components:
|
||||
- A Supabase project for database and authentication
|
||||
- Redis database for caching and session management
|
||||
- Daytona sandbox for secure agent execution
|
||||
- Python 3.11 for the API backend
|
||||
- API keys for LLM providers (OpenAI or Anthropic)
|
||||
- (Optional but recommended) EXA API key for enhanced search capabilities
|
||||
|
||||
### Prerequisites
|
||||
|
||||
1. **Supabase**:
|
||||
- Create a new [Supabase project](https://supabase.com/dashboard/projects)
|
||||
- Save your project's API URL, anon key, and service role key for later use
|
||||
- Install the [Supabase CLI](https://supabase.com/docs/guides/cli/getting-started)
|
||||
|
||||
2. **Redis**: Set up a Redis instance using one of these options:
|
||||
- [Upstash Redis](https://upstash.com/) (recommended for cloud deployments)
|
||||
- Local installation:
|
||||
- [Mac](https://formulae.brew.sh/formula/redis): `brew install redis`
|
||||
- [Linux](https://redis.io/docs/getting-started/installation/install-redis-on-linux/): Follow distribution-specific instructions
|
||||
- [Windows](https://redis.io/docs/getting-started/installation/install-redis-on-windows/): Use WSL2 or Docker
|
||||
- Save your Redis connection details for later use
|
||||
|
||||
3. **Daytona**:
|
||||
- Create an account on [Daytona](https://www.daytona.io/)
|
||||
- Generate an API key from your account settings
|
||||
- Go to [Images](https://app.daytona.io/dashboard/images)
|
||||
- Click "Add Image"
|
||||
- Enter `adamcohenhillel/kortix-suna:0.0.13` as the image name
|
||||
- Set `exec /usr/bin/supervisord -n -c /etc/supervisor/conf.d/supervisord.conf` as the Entrypoint
|
||||
|
||||
4. **LLM API Keys**:
|
||||
- Obtain an API key from [OpenAI](https://platform.openai.com/) or [Anthropic](https://www.anthropic.com/)
|
||||
- While other providers should work via [LiteLLM](https://github.com/BerriAI/litellm), OpenAI and Anthropic are recommended
|
||||
|
||||
5. **Search API Key** (Optional):
|
||||
- For enhanced search capabilities, obtain an [Exa API key](https://dashboard.exa.ai/playground)
|
||||
|
||||
### Installation Steps
|
||||
|
||||
1. **Clone the repository**:
|
||||
```bash
|
||||
git clone https://github.com/kortix-ai/agentpress.git
|
||||
cd agentpress
|
||||
```
|
||||
|
||||
2. **Configure backend environment**:
|
||||
```bash
|
||||
cd backend
|
||||
cp .env.example .env # Create from example if available, or use the following template
|
||||
```
|
||||
|
||||
Edit the `.env` file and fill in your credentials:
|
||||
```bash
|
||||
NEXT_PUBLIC_URL="http://localhost:3000"
|
||||
|
||||
# Supabase credentials from step 1
|
||||
SUPABASE_URL=your_supabase_url
|
||||
SUPABASE_ANON_KEY=your_supabase_anon_key
|
||||
SUPABASE_SERVICE_ROLE_KEY=your_supabase_service_role_key
|
||||
|
||||
# Redis credentials from step 2
|
||||
REDIS_HOST=your_redis_host
|
||||
REDIS_PORT=6379
|
||||
REDIS_PASSWORD=your_redis_password
|
||||
REDIS_SSL=True # Set to False for local Redis without SSL
|
||||
|
||||
# Daytona credentials from step 3
|
||||
DAYTONA_API_KEY=your_daytona_api_key
|
||||
DAYTONA_SERVER_URL="https://app.daytona.io/api"
|
||||
DAYTONA_TARGET="us"
|
||||
|
||||
# Anthropic or OpenAI:
|
||||
# Anthropic
|
||||
ANTHROPIC_API_KEY=
|
||||
MODEL_TO_USE="anthropic/claude-3-7-sonnet-latest"
|
||||
|
||||
# OR OpenAI API:
|
||||
OPENAI_API_KEY=your_openai_api_key
|
||||
MODEL_TO_USE="gpt-4o"
|
||||
|
||||
# Optional but recommended
|
||||
EXA_API_KEY=your_exa_api_key # Optional
|
||||
```
|
||||
|
||||
3. **Set up Supabase database**:
|
||||
```bash
|
||||
# Login to Supabase CLI
|
||||
supabase login
|
||||
|
||||
# Link to your project (find your project reference in the Supabase dashboard)
|
||||
supabase link --project-ref your_project_reference_id
|
||||
|
||||
# Push database migrations
|
||||
supabase db push
|
||||
```
|
||||
|
||||
4. **Configure frontend environment**:
|
||||
```bash
|
||||
cd ../frontend
|
||||
cp .env.example .env.local # Create from example if available, or use the following template
|
||||
```
|
||||
|
||||
Edit the `.env.local` file:
|
||||
```
|
||||
NEXT_PUBLIC_SUPABASE_URL=your_supabase_url
|
||||
NEXT_PUBLIC_SUPABASE_ANON_KEY=your_supabase_anon_key
|
||||
NEXT_PUBLIC_BACKEND_URL="http://localhost:8000/api"
|
||||
NEXT_PUBLIC_URL="http://localhost:3000"
|
||||
```
|
||||
|
||||
5. **Install dependencies**:
|
||||
```bash
|
||||
# Install frontend dependencies
|
||||
cd frontend
|
||||
npm install
|
||||
|
||||
# Install backend dependencies
|
||||
cd ../backend
|
||||
pip install -r requirements.txt
|
||||
```
|
||||
|
||||
6. **Start the application**:
|
||||
|
||||
In one terminal, start the frontend:
|
||||
```bash
|
||||
cd frontend
|
||||
npm run dev
|
||||
```
|
||||
|
||||
In another terminal, start the backend:
|
||||
```bash
|
||||
cd backend
|
||||
python api.py
|
||||
```
|
||||
|
||||
7. **Access Suna**:
|
||||
- Open your browser and navigate to `http://localhost:3000`
|
||||
- Sign up for an account using the Supabase authentication
|
||||
- Start using your self-hosted Suna instance!
|
||||
|
||||
## License
|
||||
|
||||
Kortix Suna is licensed under the Apache License, Version 2.0. See [LICENSE](./LICENSE) for the full license text.
|
||||
|
|
@ -20,4 +20,5 @@ AWS_REGION_NAME=
|
|||
|
||||
DAYTONA_API_KEY=
|
||||
DAYTONA_SERVER_URL=
|
||||
DAYTONA_TARGET=
|
||||
DAYTONA_TARGET=
|
||||
MODEL_TO_USE="gpt-4o"
|
||||
|
|
@ -1,21 +0,0 @@
|
|||
MIT License
|
||||
|
||||
Copyright (c) 2024 Kortix AI Corp
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
in the Software without restriction, including without limitation the rights
|
||||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
copies of the Software, and to permit persons to whom the Software is
|
||||
furnished to do so, subject to the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be included in all
|
||||
copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
||||
SOFTWARE.
|
||||
|
|
@ -1,3 +1,4 @@
|
|||
import os
|
||||
import json
|
||||
from uuid import uuid4
|
||||
from typing import Optional, List, Any
|
||||
|
|
@ -68,7 +69,9 @@ async def run_agent(thread_id: str, project_id: str, stream: bool = True, thread
|
|||
thread_manager.add_tool(SandboxBrowserTool, sandbox=sandbox, thread_id=thread_id, thread_manager=thread_manager)
|
||||
thread_manager.add_tool(SandboxDeployTool, sandbox=sandbox)
|
||||
thread_manager.add_tool(MessageTool)
|
||||
thread_manager.add_tool(WebSearchTool)
|
||||
|
||||
if os.getenv("EXA_API_KEY"):
|
||||
thread_manager.add_tool(WebSearchTool)
|
||||
|
||||
xml_examples = ""
|
||||
for tag_name, example in thread_manager.tool_registry.get_xml_examples().items():
|
||||
|
|
@ -76,18 +79,6 @@ async def run_agent(thread_id: str, project_id: str, stream: bool = True, thread
|
|||
|
||||
system_message = { "role": "system", "content": get_system_prompt() + "\n\n" + f"<tool_examples>\n{xml_examples}\n</tool_examples>" }
|
||||
|
||||
model_name = "anthropic/claude-3-7-sonnet-latest"
|
||||
# model_name = "groq/llama-3.3-70b-versatile"
|
||||
# model_name = "openrouter/qwen/qwen2.5-vl-72b-instruct"
|
||||
# model_name = "bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0"
|
||||
# model_name = "anthropic/claude-3-5-sonnet-latest"
|
||||
# model_name = "anthropic/claude-3-7-sonnet-latest"
|
||||
# model_name = "openai/gpt-4o"
|
||||
# model_name = "groq/deepseek-r1-distill-llama-70b"
|
||||
# model_name = "bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0"
|
||||
# model_name = "bedrock/anthropic.claude-3-7-sonnet-20250219-v1:0"
|
||||
# model_name = "bedrock/us.anthropic.claude-3-7-sonnet-20250219-v1:0"
|
||||
|
||||
iteration_count = 0
|
||||
continue_execution = True
|
||||
|
||||
|
|
@ -151,7 +142,7 @@ async def run_agent(thread_id: str, project_id: str, stream: bool = True, thread
|
|||
thread_id=thread_id,
|
||||
system_prompt=system_message,
|
||||
stream=stream,
|
||||
llm_model=model_name,
|
||||
llm_model=os.getenv("MODEL_TO_USE", "anthropic/claude-3-7-sonnet-latest"),
|
||||
llm_temperature=0,
|
||||
llm_max_tokens=128000,
|
||||
tool_choice="auto",
|
||||
|
|
|
|||
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|
|
@ -17,9 +17,9 @@ export default async function DashboardRootLayout({
|
|||
|
||||
return (
|
||||
<DashboardLayout
|
||||
accountId={personalAccount?.account_id || user.id}
|
||||
userName={user?.user_metadata?.name || user.email?.split('@')[0] || 'User'}
|
||||
userEmail={user.email}
|
||||
accountId={personalAccount?.account_id || user?.id}
|
||||
userName={user?.user_metadata?.name || user?.email?.split('@')[0] || 'User'}
|
||||
userEmail={user?.email}
|
||||
rightPanelTitle="Suna's Computer"
|
||||
>
|
||||
{children}
|
||||
|
|
|
|||
Loading…
Reference in New Issue