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Ranked #22 · Best for CodingOpen sourceBYO key

Goose

Block’s open, on-machine agent — runs locally, any LLM, MCP-native.

7.4
BlipRadar Score
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Standout features

Goose runs on your machine and turns an LLM into real action — building, editing, running and testing through MCP tools.

01
Standout feature

On-machine

runs locally; your code stays on your laptop unless you choose a cloud API.

02
Standout feature

Any LLM

works with 15+ providers — Anthropic, OpenAI, Google, local Ollama.

03
Standout feature

MCP-native

extensible through Model Context Protocol tools and “recipes.”

04
Standout feature

Desktop, CLI & API

use it as an app, in the terminal, or embedded.

How it scores
Last reviewed 9 June 2026
Output quality
7.3
Value for money
9.0
Ease of use
7.0
Reliability
7.0
Ecosystem
7.5
Momentum
6.5
Weighted total 7.4 / 10 · scored on blipradar's public rubric. How we score →
Interest over time

Worldwide search interest, indexed 0–100 · Google Trends.

The verdict

Goose (“codename goose”) is an open-source, on-machine AI agent created at Block — a general-purpose agent that turns LLM output into real action.

  • Created by Block (ex-Square); launched January 2025.
  • Runs locally and works with any LLM.
  • MCP-native — capabilities come from the tools you plug in.
  • Built in Rust; desktop app, CLI and API.
Bottom line: a flexible, private, build-it-your-way agent for tinkerers and teams.

Goose is a blank slate defined by its tools.

  • On-machine execution keeps code local by default.
  • 15+ model providers, including local via Ollama.
  • “Recipes” (YAML macros) capture repeatable workflows.
  • Not just code — research, automation and data tasks too.

Free and open source — you supply the model.

  • No license cost; BYO API key (or local model).
  • Costs scale with whatever model you choose.
  • Runs offline-capable with local models.
Excellent value, and one of the few agents fit for air-gapped setups.

Goose fits developers who want control and extensibility.

Great fit
  • Privacy-minded teams wanting on-machine execution.
  • Tinkerers who like composing tools via MCP.
  • People who want one agent for code and non-code work.
Think twice if
  • People who want top-tier coding quality out of the box.
  • Beginners uncomfortable in the terminal.

No tool is perfect — the trade-offs to weigh:

  • Quality tracks your model choice.
  • Recipes have a learning curve.
  • Terminal comfort helps a lot.
  • Raw coding trails Claude Code and Cursor.
Compelling for control and flexibility; dedicated coding tools still out-code it.
  • Open source and runs on your machine
  • Works with any LLM (15+ providers, local too)
  • MCP-native and highly extensible
  • Desktop app, CLI and API
  • Good fit for air-gapped/private setups
  • Quality depends heavily on your model
  • Recipes and setup have a learning curve
  • Terminal comfort recommended
  • Raw coding trails the leaders
What users say
Loved: runs locally Loved: MCP extensibility Loved: any model Gripe: learning curve Gripe: model-dependent

Developers like that Goose runs locally, works with any model and bends to whatever MCP tools they bolt on — a genuinely flexible, private agent. The flip side they note is that output quality depends on the model and the recipes take some learning. Sentiment is positive among hands-on, control-minded developers.

Summary written by blipradar from public discussion — we link out rather than republish others' reviews.
Company & reach

Goose was created by Block (formerly Square) and is now stewarded as an open-source project.

Company
Block, Inc. (ex-Square)Created “codename goose”
Headquarters
Distributed / community
Founded
2025Open-sourced by Block’s Open Source office
Reach
27k+ GitHub stars350+ contributors; used widely inside Block
Backing
Open sourceNow stewarded under the Linux Foundation
Find them on

Company figures are drawn from public disclosures and reputable trackers (gathered Jun 2026). User and revenue numbers are estimates and move fast.

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