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Researchers have introduced OpenDevin, an open-source platform for building powerful AI agents that interact with the world through software interfaces.
Researchers have introduced OpenDevin, an open-source platform for building powerful AI agents that interact with the world through software interfaces.
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Here is a speed-run of features:
Here is a speed-run of features:
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- Flexible agent abstraction, allowing easy implementation of diverse AI agents  
- Flexible agent abstraction, allowing easy implementation of diverse AI agents  
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- Sandboxed Linux environment and web browser for safe code execution and web interaction  
- Sandboxed Linux environment and web browser for safe code execution and web interaction  
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- Core actions including IPythonRunCellAction, CmdRunAction, and BrowserInteractiveAction  
- Core actions including IPythonRunCellAction, CmdRunAction, and BrowserInteractiveAction  
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- AgentSkills library with reusable tools like file-editing utilities and multi-modal document parsing  
- AgentSkills library with reusable tools like file-editing utilities and multi-modal document parsing  
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- Multi-agent delegation for complex task solving  
- Multi-agent delegation for complex task solving  
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- Comprehensive evaluation framework with 15 benchmarks across software engineering and the web  
- Comprehensive evaluation framework with 15 benchmarks across software engineering and the web  
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Here is how you get Devin working:
Here is how you get Devin working:
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1. Set up the environment:
1. Set up the environment:
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   - Install OpenDevin by following the instructions in the GitHub repository (
   - Install OpenDevin by following the instructions in the GitHub repository (
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https://github.com/OpenDevin/OpenDevin
https://github.com/OpenDevin/OpenDevin
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).
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   - Ensure you have the necessary dependencies installed.
   - Ensure you have the necessary dependencies installed.
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2. Choose an agent:
2. Choose an agent:
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   - Select an agent from the AgentHub, such as the CodeActAgent or BrowsingAgent.
   - Select an agent from the AgentHub, such as the CodeActAgent or BrowsingAgent.
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   - Alternatively, create your own agent by implementing the agent abstraction.
   - Alternatively, create your own agent by implementing the agent abstraction.
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3. Configure the environment:
3. Configure the environment:
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   - Set up the sandboxed Linux environment and web browser.
   - Set up the sandboxed Linux environment and web browser.
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   - Mount any necessary files or directories into the workspace.
   - Mount any necessary files or directories into the workspace.
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4. Define the task:
4. Define the task:
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   - Specify the task you want the agent to perform, such as writing code, debugging, or web browsing.
   - Specify the task you want the agent to perform, such as writing code, debugging, or web browsing.
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5. Initialize the agent:
5. Initialize the agent:
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   - Create an instance of your chosen agent.
   - Create an instance of your chosen agent.
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   - Set any necessary parameters or prompts.
   - Set any necessary parameters or prompts.
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6. Start the interaction:
6. Start the interaction:
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   - Begin the agent's execution loop, which typically involves:  
   - Begin the agent's execution loop, which typically involves:  
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     a. The agent perceiving the current state  
     a. The agent perceiving the current state  
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     b. Deciding on an action  
     b. Deciding on an action  
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     c. Executing the action in the environment  
     c. Executing the action in the environment  
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     d. Observing the results  
     d. Observing the results  
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Continued in comments...
Continued in comments...
Researchers have introduced OpenDevin, an open-source platform for building powerful AI agents that interact with the world through software interfaces.

Here is a speed-run of features:

- Flexible agent abstraction, allowing easy implementation of diverse AI agents  
- Sandboxed Linux environment and web browser for safe code execution and web interaction  
- Core actions including IPythonRunCellAction, CmdRunAction, and BrowserInteractiveAction  
- AgentSkills library with reusable tools like file-editing utilities and multi-modal document parsing  
- Multi-agent delegation for complex task solving  
- Comprehensive evaluation framework with 15 benchmarks across software engineering and the web  

Here is how you get Devin working:

1. Set up the environment:
   - Install OpenDevin by following the instructions in the GitHub repository (https://github.com/OpenDevin/OpenDevin).
   - Ensure you have the necessary dependencies installed.

2. Choose an agent:
   - Select an agent from the AgentHub, such as the CodeActAgent or BrowsingAgent.
   - Alternatively, create your own agent by implementing the agent abstraction.

3. Configure the environment:
   - Set up the sandboxed Linux environment and web browser.
   - Mount any necessary files or directories into the workspace.

4. Define the task:
   - Specify the task you want the agent to perform, such as writing code, debugging, or web browsing.

5. Initialize the agent:
   - Create an instance of your chosen agent.
   - Set any necessary parameters or prompts.

6. Start the interaction:
   - Begin the agent's execution loop, which typically involves:  
     a. The agent perceiving the current state  
     b. Deciding on an action  
     c. Executing the action in the environment  
     d. Observing the results  

Continued in comments...
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