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https://github.com/entropy-research/Devon

Devon: An open-source pair programmer
https://github.com/entropy-research/Devon

agent agent-based-framework agent-based-model ai ai-developer ai-software ai-software-engineer code-assistant code-generation developer-tool developer-tools gpt-4 gpt-4o groq llama3 ollama vscode

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Devon: An open-source pair programmer

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README 

        





  
Devon: An open-source pair programmer






  Contributors

  Forks

  Stargazers

  Issues

  


  Apache 2.0 License

  Join our Discord community

  



https://github.com/entropy-research/Devon/assets/61808204/f3197a56-3d6d-479f-bc0e-9cffe69f159b




### How do y'all ship so quickly?

Join our Discord community 

← We have a __**community-driven Dev Team**__ for this repo. Come join us! It's great.

  

# Installation



## Prerequisites



1. `node.js` and `npm`

2. `pipx`, if you don't have this go [here](https://pipx.pypa.io/stable/installation/)

3. API Key (just one is required)

   - [**Anthropic**](https://console.anthropic.com/settings/keys)

    - [**OpenAI**](https://platform.openai.com/api-keys)



> We're currently working on supporting Windows! (Let us know if you can help)



## Installation commands



To install using `pipx` + `npm`:



```bash

# Step 1: Ensure directory where pipx stores apps is in your PATH environment variable

pipx ensurepath



# Step 2: For the backend

pipx install devon_agent



# Step 3: For the main UI (install and run)

npx devon-ui

```



> If you already have devon_agent installed, update it by running:

> ```pipx install --force devon_agent```



### Thats it! Happy building :)



# Running the agent



Then to *run* the main ui, the command is:

```bash

npx devon-ui

```



It's that simple.



# Terminal UI

> If you'd like to use the terminal interface, follow these steps:

### Install

1. Make sure you have the backend installed

```bash

# For the backend

pipx install devon_agent

```

2. Install the tui

```bash

# For the tui

npm install -g devon-tui

```

> [!NOTE]

> If you already have devon-tui installed, update it by running:

```bash

npm uninstall -g devon-tui

npm install -g devon-tui

```



### Run



1. Navigate to your project folder and open the terminal.

2. Set your Anthropic API or OpenAI API key as an environment variable:



```bash

export ANTHROPIC_API_KEY=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx



#OR



export OPENAI_API_KEY=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx



#OR



export GROQ_API_KEY=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

```



3. Then to *run* the terminal-ui, the command is:

```bash

devon-tui

```



It's as easy as that.



> [!NOTE]

> Don't worry, the agent will be able to only access files and folders in the directory you started it from. You can also correct it while it's performing actions.



---



To run in *debug* mode, the command is:

```bash

devon-tui --debug

```



---



To run in *local* mode:

> [!WARNING]

> The current version of local model support is not mature, proceed with caution, and expect the performance to degrade significantly compared to the other options.



1. Get deepseek running with [ollama](https://ollama.com/library/deepseek-coder:6.7b)



2. Start the local ollama server by running

```

ollama run deepseek-coder:6.7b

```



4. Then configure devon to use the model

```bash

devon-tui configure



Configuring Devon CLI...

? Select the model name: 

  claude-opus 

  gpt4-o 

  llama-3-70b 

❯ ollama/deepseek-coder:6.7b

```



4. And finally, run it with:

```

devon-tui --api_key=FOSS

```



---



For a list of all commands available:

```bash

devon-tui --help

```



# Features

- Multi-file editing

- Codebase exploration

- Config writing

- Test writing

- Bug fixing

- Architecture exploration

- Local model support



### Limitations

- Minimal functionality for non-Python languages

- Sometimes have to specify the file where you want the change to happen

- Local mode is not good right now. Please try to avoid using it.



# Progress



### This project is still super early and we would love your help to make it great!



### Current goals

- Multi-model support

  - [x] Claude 3.5 Sonnet

  - [x] GPT4-o

  - [x] Groq llama3-70b

  - [x] Ollama deepseek-6.7b

  - [ ] Google Gemini 1.5 Pro

- Launch plugin system for tool and agent builders

- Improve our self-hostable Electron app

- Set SOTA on [SWE-bench Lite](https://www.swebench.com/lite.html)



> View our current thoughts on next steps [**here**](https://docs.google.com/document/d/e/2PACX-1vTjLCQcWE_n-uUHFhtBkxTCIJ4FFe5ftY_E4_q69SjXhuEZv_CYpLaQDh3HqrJlAxsgikUx0sTzf9le/pub)



### Star history



  

    Star History Chart

  




### Past milestones



- [x] **June 28, 2024** - File and code referencing, improve steerability, Claude Sonnet support v0.0.16

- [x] **June 14, 2024** - Launch Electron UI v0.0.13

- [x] **June 1, 2024** - Devon V2 Beta Electron UI

- [x] **May 19, 2024** - GPT4o support + better interface support v0.1.7

- [x] **May 12, 2024** - Complete interactive agent v0.1.0

- [x] **May 10, 2024** - Add steerability features

- [x] **May 8, 2024** - Beat AutoCodeRover on SWE-Bench Lite

- [x] **Mid April, 2024** - Add repo level code search tooling

- [x] **April 2, 2024** - Begin development of v0.1.0 interactive agent

- [x] **March 17, 2024** - Launch non-interactive agent v0.0.1



> [!NOTE]

> If you already have the tui installed, run a clean reinstall:

```bash

npm uninstall -g devon-tui

npm install -g devon-tui

```



## Current development priorities



1. Improve context gathering and code indexing abilities ex:

    - Adding memory modules

    - Improved code indexing

2. Add alternative models and agents to:

    - a) Reduce end user cost and

    - b) Reduce end user latency

3. Electron app

    - Save and load in project overviews for agent context

    - Revert & "step back" timeline interface

    - Better code diff view

    - Send user file events/changes to Devon



# How can I contribute?



Devon and the entropy-research org are community-driven, and we welcome contributions from everyone!

From tackling issues to building features to creating datasets, there are many ways to get involved:



- **Core functionality:** Help us develop the core agents, user experience, tool integrations, plugins, etc.

- **Research:** Help us research agent performance (including benchmarks!), build data pipelines, and finetune models.

- **Feedback and Testing:** Use Devon, report bugs, suggest features, or provide feedback on usability.



For details, please check [CONTRIBUTING.md](./CONTRIBUTING.md).



If you would like to contribute to the project, please join the discord: [Discord](https://discord.gg/p5YpZ5vjd9)



# Feedback



We would love feedback! Feel free to drop us a note on our [Discord](https://discord.gg/p5YpZ5vjd9) in the #feedback channel, or [create issues](https://github.com/entropy-research/Devon/issues)!



We collect basic event type (i.e. "tool call") and failure telemetry to solve bugs and improve the user experience, but if you want to reach out, we would love to hear from you!



To disable telemetry, set the environment variable `DEVON_TELEMETRY_DISABLED` to `true` 

```bash

export DEVON_TELEMETRY_DISABLED=true

```



# Community



Join our Discord server and say hi!

[Discord](https://discord.gg/p5YpZ5vjd9)



# License



Distributed under the AGPL License. See [`LICENSE`](./LICENSE) for more information.