goose vs Cline
Both are alternatives to Claude Code. Here's how they stack up — verified facts, no spin.
Also searched as Cline vs goose — same comparison, one verdict.
goose and Cline are closely matched on ownership (93 vs 92) — this one comes down to pricing and to which trade-offs below you can live with.
goose
A general-purpose open agent (desktop app, CLI and API) governed at the Linux Foundation.
goose (Apache-2.0) is a general-purpose AI agent that runs on your machine: a native desktop app for macOS, Linux and Windows, a full CLI, and an API to embed it, built in Rust. It writes code, but it is deliberately not only a coding tool; research, writing, automation and data analysis are in scope, which suits someone who used Claude Code for more than programming. It works with 15+ providers, including Anthropic, OpenAI, Google, Ollama, OpenRouter, Azure and Bedrock, and connects to 70+ extensions over MCP. goose is part of the Agentic AI Foundation (AAIF) at the Linux Foundation; its repository moved from block/goose to aaif-goose/goose, and the old address redirects.
Cline
The open-source agent for people who want it in the editor rather than the terminal.
Cline (Apache-2.0) is an autonomous coding agent available as a VS Code extension, a JetBrains plugin, a CLI (`npm i -g cline`) and a desktop app for macOS and Windows, all built on one shared agent core. It is not tied to a provider: Anthropic, OpenAI, Google, OpenRouter, Bedrock, Vertex, Groq, Cerebras, Ollama, LM Studio or any OpenAI-compatible endpoint. Cline's pricing page says it is free for individual developers, who pay only for inference with their own API keys or through Cline's provider; an Enterprise tier adds SSO, team management and centralised billing. Every edit in the editor shows as a reviewable diff, with checkpoints to undo the agent's work.
Side by side
10 points of comparison, every one read from a verified field. Green marks the side that wins a row outright. A dash means we do not hold that fact — never that it is zero.
| goose | Cline | |
|---|---|---|
| Sovereignty ScoreOur transparent 0–100 composite for data ownership and exit cost. | 93 | 92 |
| Open source | Yes | Yes |
| Self-hostable | Yes | Yes |
| Local-first data | Yes | Yes |
| License | Apache-2.0 | Apache-2.0 |
| Pricing | Free and open source (Apache-2.0); you pay only your model provider, or nothing beyond hardware with a local model. | Free for individual developers (Apache-2.0); pay only for inference, with your own keys or Cline's provider. Enterprise (SSO, team management, centralised billing) is sales-led. Verified on cline.bot/pricing 2026-10-03. |
| RAM to run it wellThe figure that actually matters, not the vendor's minimum. | — | 32 GB for a local model that actually works. Cline's tested minimum is Qwen3 Coder 30B at 4-bit (~17 GB download, 32K context, Compact Prompt on). 64 GB runs the 8-bit version (~32 GB) with 128K context and every feature. With an API key, any machine that runs VS Code is enough. |
| Realistic running costWhat the box costs each month if you run it yourself. | — | $0 — it runs on the machine you already own. Cline is free for individuals and you pay only for inference: per-token API use with your own key, or the hardware to run a local model. |
| Setup timeHonest first-install estimate, not the marketing quickstart. | — | 5 minutes with an API key. An hour or two to set up Ollama or LM Studio with a big enough model and context. |
| Ongoing maintenanceThe part nobody budgets for. | — | Almost none. The marketplace updates it automatically and releases come often (v4.1.22 on 30 Sep 2026). The real work is watching your API spend. |
goose edges it on the Sovereignty Score, but the right pick depends on the trade-offs below.
goose
Strengths
- +Foundation governance at the Linux Foundation's Agentic AI Foundation, so no single vendor owns the roadmap
- +A desktop app, CLI and API from one engine, which makes it approachable for people who would rather not live in a terminal
- +15+ providers including Ollama, so it can run fully local
- +70+ MCP extensions, and a scope that goes well beyond code
Trade-offs
- −A generalist by design; if you only want a coding agent, a coding-first tool such as opencode will feel more focused
- −Moving your setup is manual: check which of your CLAUDE.md conventions, skills and hooks have a goose equivalent before committing
- −Running locally still needs real GPU memory, and a local model trails frontier models on hard agent tasks
Cline
Strengths
- +Reviewable diffs in the editor plus checkpoints to roll the agent back, close to Claude Code's IDE experience
- +Bring your own key for any major provider, or run fully local through Ollama or LM Studio
- +The same agent across VS Code, JetBrains, a CLI and a desktop app
- +A large, active project, about 70k GitHub stars, with commits daily
Trade-offs
- −The JetBrains plugin is not open source; only the VS Code extension, CLI, SDK and desktop app are in the public repository
- −Per-token billing on a frontier model can cost more than a flat Claude plan for heavy daily use, so measure before you switch
- −Its convention for project rules is `.clinerules`, so check how your CLAUDE.md conventions map before relying on them
- −Running a capable model locally is a real hardware ask
Which one fits you
The trade-offs above, turned into a decision. Find the line that describes your team.
Choose goose
if a lower exit cost matters more to you than any single feature, and foundation governance at the Linux Foundation's Agentic AI Foundation, so no single vendor owns the roadmap.
Choose Cline
if reviewable diffs in the editor plus checkpoints to roll the agent back, close to Claude Code's IDE experience.
Neither, yet
if both carry a real cost you should weigh first — a generalist by design; if you only want a coding agent, a coding-first tool such as opencode will feel more focused, and the JetBrains plugin is not open source; only the VS Code extension, CLI, SDK and desktop app are in the public repository. If either of those is a dealbreaker for your team, the shortlist is wrong rather than the choice.
What it takes to run these yourself
Real requirements and honest running costs, not the vendor quickstart.
goose vs Cline — common questions
Is goose a better fit than Cline for ai coding assistants?
It depends on what you are optimising for, and the honest split is this: goose scores 93 to Cline's 92 on data ownership and exit cost, so it is the safer choice if you care about being able to leave. Cline earns its place on a different axis — reviewable diffs in the editor plus checkpoints to roll the agent back, close to Claude Code's IDE experience. Neither is a wrong answer for every team; the table above is the actual comparison.
What happens if we want to switch later?
goose keeps its data local or in open formats, so leaving is an export rather than a negotiation. Cline is still self-hostable, so the files stay on your server either way — but it is not local-first by design, so check what its export produces before you rely on it.
Can I self-host goose or Cline?
Both can be self-hosted. The difference is what it costs you in time rather than whether it is possible — see the setup and maintenance rows above.
Are goose and Cline both alternatives to Claude Code?
Yes — both appear in our Claude Code comparison, which is why they are worth putting side by side. People usually arrive here already having decided to move off Claude Code and now choosing between the two replacements, which is a narrower and much easier question.
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Facts verified 2026-10-03. Licenses and pricing change — spotted something out of date? That's a correction we want.