AI tool comparison
Devin vs Goose
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Developer Tools
Devin
Autonomous AI software engineer by Cognition
33%
Panel ship
—
Community
Paid
Entry
Devin is an autonomous AI agent that can plan, code, debug, and deploy entire features independently. It operates in its own sandboxed environment with terminal, editor, and browser. Targets long-running, complex engineering tasks.
Developer Tools
Goose
Local-first open source AI agent with 70+ MCP extensions
75%
Panel ship
—
Community
Free
Entry
Goose is a general-purpose AI agent that runs entirely on your machine — no mandatory cloud, no vendor lock-in. Built in Rust by Block (the company behind Square and Cash App), it ships as a desktop app, CLI, and API that can write code, execute commands, browse the web, manage files, and automate workflows using natural language. Goose was one of the earliest adopters of the Model Context Protocol (MCP) and now supports 70+ documented extensions ranging from GitHub integration and database access to browser control and custom toolchains. It works with 15+ LLM providers — Anthropic, OpenAI, Google, Ollama, OpenRouter, and more — so you can run it fully offline with a local model or hook it into a frontier API. The project has now moved under the Linux Foundation's newly formed Agentic AI Foundation (AAIF), putting it alongside MCP and AGENTS.md under vendor-neutral governance. With 38k+ GitHub stars and 400+ contributors, Goose is quietly becoming the go-to open-source agent for engineers who don't want to compromise on privacy or flexibility.
Reviewer scorecard
“At $500/mo it needs to replace at least 10 hours of developer time per month. In my testing, I spent more time reviewing and fixing its output than I saved. Not there yet.”
“70+ MCP extensions and full offline support means you can actually customize this for real workflows. The YAML recipe system for portable automation is underrated — this is what an agent framework should look like.”
“The marketing writes checks the product can't cash. 'Autonomous software engineer' implies reliability that doesn't exist. It's a talented intern that needs constant supervision.”
“Moving to the Linux Foundation sounds great until you realize it adds governance overhead and slows iteration. With Cursor, Windsurf, and Claude Code all competing here, Goose needs a killer differentiator beyond 'open source' to stay relevant.”
“Devin is early but directionally correct. The autonomous agent approach will win eventually. Cognition has the best shot at getting there first. Invest in the future, not the present.”
“The AAIF move is huge — MCP, Goose, and AGENTS.md under one neutral roof creates a real open standard stack for agentic AI. This is the Linux of agent frameworks, and the network effects are just beginning.”
“Finally an agent that respects your privacy enough to run locally without phoning home. For creators handling sensitive client work, the offline-first model is a genuine selling point no SaaS tool can match.”
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