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gitwit-agent

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Basic Information

GitWit Agent is a container-based AI agent that automates making useful commits and generating entire git repositories or new branches from a natural language description. Given a prompt such as "implement dark mode" it can either create a new GitHub repository or check out an existing one, modify files inside a temporary Docker sandbox by running shell commands and scripts, and then push changes to the repository. The project is implemented in Node.js and requires Docker, a GitHub personal access token, and an OpenAI API key. The README emphasizes that the agent operates on the filesystem in a sandbox, can run arbitrary shell commands, and therefore can "write code that writes code." The agent is available for testing as a live service and has been used to generate many example repositories, demonstrating its purpose as an automated code-generation and commit tool for repository scaffolding, prototyping, and scripted edits.

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297
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App URL
https://github.com/jamesmurdza/gitwit-agent
Github Repository
https://github.com/jamesmurdza/gitwit-agent/blob/main/README.md

App Details

Features
Containerized execution: each run spawns a temporary Docker container to safely execute shell scripts and file operations. Repo and branch modes: can create new GitHub repositories or create branches on existing repos. Natural language driven: uses OpenAI chat models by default (gpt-3.5-turbo with configurable temperature) to generate plans and code. Modular wrappers: includes specific modules and scripts such as index.ts for orchestration, openai.ts as an OpenAI wrapper, github.ts for GitHub API calls, container.ts for Docker interactions, and scripts.ts for injected git operations. Command-line flags: npm run start supports flags like --again, --offline, --debug, and --branch for repeat runs, offline builds, and debugging. Configuration: environment variables for GitHub, Docker remote server options, Helicone logging/caching support, and optional LangChain integration for alternate model composition. Examples and demos: multiple example repos generated and a demo site.
Use Cases
GitWit automates repetitive repository and commit tasks so developers or product teams can rapidly prototype, scaffold projects, or apply scripted edits across a codebase without manual file fiddling. By running generated shell scripts inside isolated Docker containers it reduces risk to the host and enables arbitrary build steps and file manipulations that would be difficult to express through plain LLM outputs. The agent’s ability to select relevant files as context for final model calls implements a simple retrieval-augmented workflow, improving the quality of code changes. Built-in GitHub API integration lets it create repos, branches, and push to master programmatically, and command flags allow reproducing prior runs or debugging build scripts. The project has been used to produce numerous example repositories, making it useful for demos, teaching, automated scaffolding, and experiment-driven code generation.

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