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Coding Agents

Codai

Codai is an open-source AI coding agent that runs in a terminal and uses language models to assist with project-aware development tasks.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Codai — OpenViST project profile in Coding Agents.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Codai from a project directory when you want a terminal-based assistant to work with code context and support a development task.

Who it is for

  • Developers who want AI assistance within a command-line workflow.
  • Teams or individuals looking for help with code changes, tests, refactoring, bug suggestions, reviews or documentation.

Documented uses

  • Add features or test cases and apply generated code changes.
  • Refactor code and get suggestions for bugs or code review.
  • Generate documentation and summarize project context.
Before you choose

Requirements & limits

The repository is public and identifies the project as Apache-2.0 licensed. The documented installation method requires Go 1.23 or later and an API key for the selected provider.

  • The README lists several model providers, with OpenAPI described as the default and provider/model selection available through command-line options.
  • Codai can use a project-root configuration file, environment variables or command-line settings.
  • A .codai-gitignore file can specify which project files Codai ignores.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install Codai and start it in a project

Install the command-line tool and launch the assistant from the project directory you want it to analyze.

Before you start

  • Go 1.23 or later
  • An API key for the selected AI provider

Steps

  1. Install Codai with the command below.

    Documented command
    go install github.com/meysamhadeli/codai@latest

  2. Provide the API key using the API_KEY environment variable.

  3. Navigate to the target project directory and run codai code.

Expected outcome

Codai starts as a coding assistant in the selected project directory, where it can use code context for development tasks.

Guide limitations

  • The README describes a work-in-progress project.
  • The guide does not specify the provider's API-key issuance process.
Documentation 1 ↗
Source-based practical guide

Set provider and project-specific options

Configure Codai for a provider and project using the documented configuration file or command-line options.

Before you start

  • Codai installed
  • Provider details and any required API key

Steps

  1. Create codai-config.yml in the root directory of the project.

  2. Set the provider and relevant values, such as model and base URL, in the ai_provider_config section.

  3. Alternatively, pass a configuration path with codai code --config ./codai-config.yml, or supply supported settings directly in the command line.

Expected outcome

Codai uses the supplied project configuration or command-line options when started.

Guide limitations

  • The README's sample configuration uses Azure OpenAI; available options and required values depend on the provider.
  • The guide documents configuration, not provider-specific credential setup.
Documentation 1 ↗
COMPARE OPTIONS

Compare options for AI coding assistance

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
CodaiAdd features or test cases and apply generated code changes.CLIThe repository is public and identifies the project as Apache-2.0 licensed. The documented installation method requires Go 1.23 or later and an API key for the selected provider.
LlmcodeInspect a project's directory structure with `/tree`.CLIThe documented setup requires an API key and supports an API base URL and model setting. The project is open source under Apache-2.0.
Klaat CodeOpen a project directory for terminal-based coding assistance.CLI, ServerThe README provides a global npm installation command and documents browser sign-in with a KlaatAI account. It also identifies the repository as open source under Apache 2.0.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
14 October 2026
Original website title
meysamhadeli/codai · Official homepage title · retained in its source language
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