goose vs craft-agents-oss
AI agent tools for desktop, CLI, and remote work compared
goose and craft-agents-oss both let users work with AI agents across desktop and command-line workflows, with connections to models and external tools. goose offers desktop, CLI, and API interfaces with a broad range of model providers and MCP extensions; craft-agents-oss centers on organizing agent sessions in a desktop workspace, with a headless server and CLI for remote use.
goose: Run an Extensible AI Agent on Your Machine
goose is a Rust-based AI agent available as a desktop app, CLI, and API. It connects to multiple LLM providers and MCP extensions, making it useful for code work as well as research, writing, automation, and data analysis.
craft-agents-oss: Manage AI Agent Work in a Desktop App
Craft Agents is a customizable desktop workspace for running AI agent sessions, connecting services and files, and organizing work across projects. It also offers a headless server and CLI for remote use and scripting.
| goose | craft-agents-oss | |
|---|---|---|
| Language | Rust | TypeScript |
| License | Apache-2.0 | Apache-2.0 |
| Stars | 54.9k | 7.2k |
| Forks | 6.4k | 1.1k |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- goose is written in Rust, while craft-agents-oss is written in TypeScript and uses Electron for its desktop application.
- goose offers a desktop app, CLI, and API; craft-agents-oss offers a desktop workspace plus a headless server and CLI.
- goose connects to more than 15 model providers and more than 70 MCP extensions; craft-agents-oss connects to multiple LLM services, MCP servers, REST APIs, and local filesystems.
- craft-agents-oss includes session organization, workspace-specific skills, event-driven automations, and configurable permission modes; goose focuses on delegating tasks through an agent and extending it with MCP integrations.
- Both projects use the Apache-2.0 license. goose reports 54.9k stars and 6.4k forks, while craft-agents-oss reports 7.2k stars and 1.1k forks.
Choose goose if you…
- need a choice of desktop app, CLI, or API for agent workflows.
- want connections to a broad range of model providers and MCP extensions.
- plan to use an agent for coding as well as research, writing, automation, or data analysis.
Choose craft-agents-oss if you…
- want to organize multiple agent sessions in a desktop workspace.
- need permission modes, workspace-specific skills, or event-driven automations.
- want to run a headless server and connect to it from a desktop app or CLI.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.