Aider vs Goose: pricing, features and which to choose

Aider is an open-source AI pair-programming tool from Aider AI LLC, created in 2023 and distributed under the Apache License 2.0. Its GitHub repository was created on May 9, 2023. The program runs in a terminal, reads a local Git repository, sends selected context to a connected language model, and applies edits to files. Aider does not sell a bundled hosted coding subscription. Its homepage reports 15 billion tokens per week and lists cloud and local model support. The repository lists 49,692 stars in the entered snapshot. For buyers, this means the product is software to operate and configure, not a packaged service with one account, model, or administration layer. Aider is centered on local repositories, command-line control, and external model services rather than a single hosted model.

A typical session starts inside a Git repository. Aider builds a repository map, then accepts a request in chat and proposes edits to selected files. It can add files, modify files, create Git commits with generated messages, display diffs, and use familiar Git operations to review or undo changes. Documentation also covers linting and testing, image and web-page context, voice-to-code, IDE integration, browser use, and scripting through the command line or Python. Users can connect hosted providers, GitHub Copilot, OpenRouter, Ollama, or other compatible endpoints. For a buyer, the practical appeal is a reviewable, scriptable workflow that fits existing Git habits. The repository and review process remain on the developer’s machine, while model requests follow the selected provider’s connection and terms.

Aider fits developers who understand Git, manage model credentials, and want cloud or local model choice. It is less suitable for teams seeking a hosted IDE, central seat administration, consolidated billing, or a fixed monthly model allowance. Privacy depends on the selected provider for code context sent with a request. Aider’s optional analytics collect model, token, feature, command, exception, and error data only after opt-in, and exclude code, chats, prompts, keys, and personal information. Compared with Cursor, Aider offers a terminal-first workflow and broader endpoint choice; GitHub Copilot offers subscription-based access inside its own product; Continue also supports local and hosted models inside developer editors. Pick Aider for Git control, scripting, and BYOK flexibility.

Goose is Block’s open source terminal AI agent for developers and technical teams. Launched on January 28, 2025, it began with software engineering work such as code migrations, dependency installation, test execution, and file changes, then expanded toward research, writing, automation, and data analysis. The project uses the Apache License 2.0, allowing commercial use, modification, and distribution subject to its terms. Goose runs on the user’s machine through desktop applications for macOS, Linux, and Windows, plus a terminal client and API. Users can edit files, execute commands, and run tests. The project is active, costs $0, and does not include model usage. Block reported that about 12 specialists built the original system over nine months.

A Goose session starts in the desktop app or CLI after the user selects a language model provider. Goose sends the request and tool descriptions to that model, executes returned tool calls, and sends results back for another turn. Built in and external MCP extensions can add shell commands, file operations, web access, memory, browser automation, and application specific actions. Users can save sessions, resume them across desktop and CLI, create reusable recipes, and connect remote MCP services. Permission modes include automatic execution, approval before actions, conversation without tools, and smart approval. Permissions can also be set for each extension with allow, deny, or approval behavior. Goose supports hosted providers and local Ollama models.

Goose fits developers automating code changes, tests, shell workflows, and repeatable MCP recipes, along with teams requiring Apache licensed software, local execution, provider choice, and configurable permissions. It is less suitable for people seeking a zero setup hosted coding assistant, teams unable to review commands and extension permissions, or users wanting one bill that includes model usage. Continue and Gemini CLI are closer terminal alternatives, while Claude Code and Cursor offer more managed coding experiences. Compared with Gemini CLI, Goose puts more emphasis on model independence, local deployment, desktop and CLI access, MCP extensions, and configurable autonomy. Choose Goose when those priorities matter more than bundled inference and simpler onboarding. Developers and technical teams wanting local, open source agentic coding should pick Goose.