Cline vs Goose
Both are catalogued under Coding Agents. The figures come from the GitHub API; the assessments are ours.
At a glance
| At a glance | Cline | Goose |
|---|---|---|
| License | Apache-2.0 | Apache-2.0 |
| Languages | TypeScript | Rust, TypeScript |
| Deployment | Runs locally | Runs locally |
| Maturity | Established | Growing |
| Stars | 66.2k | 52.8k |
| Star growth over the last 7 days | +5 ★ | +4 ★ |
| Forks | 7.1k | 6k |
| Open issues | 998 | 285 |
| Last commit | 15 Aug 2026 | 14 Aug 2026 |
| Activity | Active | Active |
What each one does
Cline
Runs in VS Code and asks for approval before each file write or terminal command, which keeps a human in the loop without breaking flow. MCP support lets it reach tools beyond the editor. The approval prompts are the safety mechanism — turning them all off removes the main reason to prefer it.
Full entry →Goose
Runs locally as a CLI or desktop app and gains capabilities through MCP extensions rather than a fixed tool list, so the same agent handles code, infrastructure and third-party services. Model-agnostic, which matters if you expect to switch providers.
Full entry →What you can do
Cline
- Plan first, then act — Plan mode explores the codebase and proposes a strategy before Act mode executes it, with every file edit and terminal command gated by approval and recorded as a reviewable diff with checkpoints to roll back.
- Run it headless in CI — git diff origin/main | cline "Review these changes for issues" pipes input straight in, and cline --json emits machine-readable events for jq to consume.
- Encode conventions in .clinerules — Coding standards, architecture rules and deployment procedures written into .clinerules files are picked up automatically by the CLI, VS Code extension and JetBrains plugin.
- Run many agents unattended — cline schedule create with --cron "0 9 * * MON-FRI" handles recurring jobs, and the Kanban board gives each task card its own git worktree with auto-commit.
- Reach external systems via MCP — cline mcp manages MCP server connections to databases and APIs, and createTool from @cline/sdk registers custom tools and lifecycle hooks in the same agent.
Goose
- Run an agent on your machine — Ships as a native desktop app for macOS, Linux and Windows, a CLI installed from the download_cli.sh release script, and an API for embedding the same agent in your own software.
- Add capabilities over MCP — Connects to 70+ extensions through the Model Context Protocol, so new tools and services attach to a running setup instead of requiring a different agent.
- Use the provider you already pay for — Works with 15+ providers including Anthropic, OpenAI, Google, Ollama, OpenRouter, Azure and Bedrock, and can drive existing Claude, ChatGPT or Gemini subscriptions through ACP rather than API keys.
- Ship a preconfigured build — CUSTOM_DISTROS.md documents building your own goose distribution with providers, extensions and branding set in advance — useful when handing the agent to a team.