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singhsidhukuldeep 
posted an update Oct 1
Post
1196
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...
  1. Monitor and interact:
  • Use the OpenDevin User Interface (UI) to view the agent's actions and progress.
  • Provide additional instructions or feedback if needed.
  1. Evaluate results:
  • Review the agent's output or completed task.
  • Optionally, use the evaluation framework to assess the agent's performance on specific benchmarks.
  1. Iterate and improve:
  • Based on the results, refine the agent's prompts, skills, or implementation as needed.

Remember that OpenDevin is a flexible platform, so the exact steps may vary depending on your specific use case and the type of agent you're working with.

OpenDevin is a community-driven project with over 160 contributors and 1.3K+ contributions. It's poised to accelerate research and real-world applications in agentic AI systems.

Soo OpenDevin is not actually an open model, it's just a frontend for the Devin AI thing?
Now I'm disappointed...