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Basic Information

Codel is a self-hosted, fully autonomous AI agent designed to perform complicated tasks and projects by interacting with a terminal, a built-in browser, and a built-in text editor. It runs in a sandboxed Docker environment and is intended to be deployed via a pre-built container image so users can run the service locally and access a web UI. The system routes work through configured language models by environment variables, supporting OpenAI and locally hosted Ollama models. It records command history and outputs in a PostgreSQL database, auto-selects Docker images appropriate for tasks, and exposes a web interface typically reachable at localhost:3000 for monitoring and interacting with running tasks.

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App Details

Features
Secure sandboxing inside Docker to isolate execution environments. Autonomous task orchestration that detects and executes next steps without manual intervention. Built-in web browser to fetch up-to-date tutorials, documentation, and other web resources. Integrated text editor to inspect and modify files directly in the UI. Persistent history storage using PostgreSQL to keep commands and outputs for auditing and replay. Automatic Docker-image picker to match runtime environments to user tasks. Self-hosted deployment model and a modern web UI. Configurable model backends via environment variables for OpenAI and Ollama models. Simple Docker run or env-file based startup flow.
Use Cases
Codel helps users automate complex, multi-step projects by combining autonomous decision making with direct access to a terminal, browser, and editor in a sandboxed environment. The browser fetches external information when models need current documentation or tutorials and the text editor allows rapid inspection and correction of generated or modified code. Storing all history in PostgreSQL improves reproducibility and makes debugging and audits easier. Automatic Docker image selection reduces environment setup friction and the self-hosted design gives teams control over data and compute. Overall it shortens iteration cycles for software tasks and project workflows while keeping execution contained and auditable.

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