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Codel

Fully autonomous AI Agent that can perform complicated tasks and projects using terminal, browser, and editor.

Pricing
Free
Codel

About Codel

Codel is a fully autonomous AI agent that performs complicated tasks and projects using a terminal, a browser, and a text editor. It is self-hosted and aimed at developers who want an agent that can work through multi-step projects on its own rather than responding to single prompts. Everything runs inside a sandboxed Docker environment for security.

Codel automatically detects the next step in a task and performs it without manual direction, picking a Docker image automatically based on the task at hand. A user runs a pre-built Docker image with an OpenAI or Ollama model configured through environment variables, then opens localhost:3000 in a browser to start using Codel. All history, commands, and outputs are saved in a PostgreSQL database.

Codel includes a built-in browser that fetches the latest information from the web, such as tutorials and documentation, when a task needs it, and a built-in text editor for viewing all the files it has modified directly in the browser. It supports OpenAI's GPT-4 models as well as locally hosted Ollama models such as Llama2, selected through environment variables when the Docker image is run. The interface is described by the project as a modern UI.

Codel is released under the AGPL-3.0 license and distributed through a Github Container Registry Docker image rather than a hosted service. Users must supply an environment variable for whichever language model they want to use, such as an OpenAI API key for GPT-4 or a locally hosted Ollama model, and can swap the OpenAI server URL to point at a compatible alternative endpoint. Support and discussion happen through the project's Discord server.

Use cases

  • Completing multi-step coding projects without manual prompting
  • Looking up documentation or tutorials mid-task

Key features

  • Fully autonomous multi-step task execution
  • Runs in a sandboxed Docker environment
  • Built-in browser for fetching live information
  • Built-in text editor for viewing modified files
  • Saves full command history in PostgreSQL
  • Automatic Docker image selection based on the task
  • Supports OpenAI GPT-4 and local Ollama models
  • Self-hosted deployment

Pros and cons

Pros

Free and open source under the AGPL-3.0 license
Runs in an isolated, sandboxed Docker environment
Can run entirely with free local Ollama models

Pricing

Codel
Free
  • AGPL-3.0 license
  • Self-hosted

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