Practical overview
When it fits
Use ReadmeAI when a repository needs a structured README starting point and you want to generate it from repository information through a CLI, then tailor the document and verify its project-specific details.
Who it is for
- Developers creating initial documentation for a software repository.
- Project maintainers who want a consistent README structure and configurable presentation.
- Teams working with repositories hosted on GitHub, GitLab or Bitbucket, or stored locally.
Documented uses
- Generate a README draft from a repository URL or local codebase.
- Customize the README's header, navigation, logo, badges and visual style.
- Filter files from repository analysis with `.readmeaiignore` patterns.
- Choose a supported LLM provider or use the documented offline mode.
Requirements & limits
The project is a public, MIT-licensed repository. The documented installation options include pip, pipx, uv and Docker. Third-party LLM services require an API key; the documentation warns that model use may incur costs.
- Requires Python 3.10 or higher for the documented setup.
- Accepts repositories from the local file system, GitHub, GitLab and Bitbucket.
- Supports OpenAI, Anthropic, Google Gemini and Ollama; the exact setup depends on the selected provider.
- Offline mode is listed as an option and is described as requiring no LLM API service.
- README structure and appearance can be tuned with CLI options, including header, navigation, badges, logo and emoji themes.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Generate a README with an AI provider
Create a README output file from a repository using a configured provider.
Before you start
- Python 3.10 or higher.
- ReadmeAI installed using pip, pipx, uv or Docker.
- A valid API key for the selected third-party provider.
Steps
Install ReadmeAI using one of the documented installation methods.
Set the environment variable for the provider API key; the README gives examples for OpenAI, Anthropic and Google Gemini.
Run the CLI with the provider, output-file and repository options, such as
readmeai --api openai -o readmeai-openai.md -r https://github.com/eli64s/readme-ai.Adjust documented styling options such as header, navigation and badge settings as needed.
Expected outcome
A generated README file at the specified output path, using the selected repository and provider.
Guide limitations
- Third-party services require a valid API key.
- Model usage may incur costs; the project documentation advises monitoring usage, especially with higher-tier models.
- Review the generated README for project-specific accuracy.
Set up ReadmeAI for offline generation
Install the CLI and select its documented offline mode without configuring a third-party LLM API.
Before you start
- Python 3.10 or higher.
- ReadmeAI installed using pip, pipx, uv or Docker.
- A local repository path or supported hosted repository URL.
Steps
Install ReadmeAI using one of the documented installation methods.
Provide the repository path or URL and select the offline provider option; the configuration table lists
offlineas the default API setting.Set the desired output and presentation options using the documented CLI configuration.
Expected outcome
A README generated in offline mode without using an LLM API service.
Guide limitations
- The supplied usage examples do not show a complete offline command or describe the offline mode's generation behavior in detail.
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 10 October 2026
- Original website title
- eli64s/readme-ai · Official homepage title · retained in its source language