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 glanceClineGoose
LicenseApache-2.0Apache-2.0
LanguagesTypeScriptRust, TypeScript
DeploymentRuns locallyRuns locally
MaturityEstablishedGrowing
Stars66.2k52.8k
Star growth over the last 7 days+5 ★+4 ★
Forks7.1k6k
Open issues998285
Last commit15 Aug 202614 Aug 2026
ActivityActiveActive

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 actPlan 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 CIgit 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 .clinerulesCoding 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 unattendedcline 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 MCPcline 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 machineShips 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 MCPConnects 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 forWorks 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 buildCUSTOM_DISTROS.md documents building your own goose distribution with providers, extensions and branding set in advance — useful when handing the agent to a team.

Other comparisons