AI tool comparison
Goose vs Holo3
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
AI Agents
Goose
Block's local-first AI agent — now under Linux Foundation governance
75%
Panel ship
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Community
Paid
Entry
Goose is an open-source, local-first AI agent from Block (the company behind Square, Cash App, and CashApp) that runs on your machine across macOS, Linux, and Windows. Built in Rust, it's designed for general-purpose automation — coding, research, writing, data analysis — not just code suggestions. Agents can install packages, execute shell commands, edit files, test code, and browse the web through 70+ MCP-compatible extensions. In April 2026, Goose crossed 38,000 GitHub stars and completed its transition to the Agentic AI Foundation (AAIF) at the Linux Foundation, joining Anthropic's Model Context Protocol and OpenAI's AGENTS.md as founding projects. This governance move ensures the project stays vendor-neutral — a meaningful signal for teams worried about enterprise AI lock-in. Goose supports 15+ LLM providers (Anthropic, OpenAI, Google, Ollama, OpenRouter, Azure, Bedrock, and more), includes sandbox mode and prompt injection detection, and ships with a recipe system for portable YAML workflow configs. The Apache 2.0 license and AAIF backing make it one of the most credible options in the rapidly crowding local agent space.
AI Agents
Holo3
SOTA GUI agent VLM — beats GPT-5.4 on OSWorld at 1/10th the cost
75%
Panel ship
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Community
Free
Entry
Holo3 is a vision-language model built specifically for GUI agents — AI that can see and interact with web browsers, desktop apps, and mobile UIs. Developed by H Company, the 35B-A3B mixture-of-experts variant scores 78.85% on OSWorld-Verified, the most rigorous benchmark for autonomous computer use, edging out GPT-5.4 Thinking and Claude Opus 4.6 while reportedly costing 10x less to run. The model architecture separates GUI understanding from action planning using a sparse MoE design, enabling high accuracy with a much smaller active parameter footprint. It supports point-and-click, scroll, type, and multi-step workflows across all major OS environments. Weights for the 35B-A3B variant are released under Apache 2.0, while a free-tier API is available at hub.hcompany.ai. H Company is a Paris-based AI startup founded by former DeepMind researchers. Holo3 is their bet that purpose-built specialist models will outperform general-purpose frontier LLMs on narrow, high-value verticals — and the OSWorld leaderboard suggests they're winning that bet for now.
Reviewer scorecard
“38K stars, Apache 2.0, built in Rust, works with every major LLM provider, has sandbox mode — and now it's got Linux Foundation governance so it won't get abandoned or enshittified. For local agent workflows, Goose is the reference implementation right now.”
“Topping OSWorld-Verified while being open-source and cheap to run is a genuinely rare combination. If you're building any kind of browser automation or desktop agent pipeline, this is the model to benchmark against first. The free API tier lowers the barrier to try it immediately.”
“The local agent space is getting very crowded — Claude Code, Cursor, Roo Code, Amp, and now Goose all compete for the same developer mindshare. Goose's generalist positioning means it's good at everything and great at nothing. The AAIF governance is a nice story but doesn't change the UX day-to-day.”
“OSWorld numbers are impressive, but benchmarks and real-world reliability are very different things. GUI agents still struggle with dynamic content, CAPTCHAs, login flows, and anything that deviates from the training distribution. H Company is a small startup — unclear if they can keep pace with OpenAI/Anthropic iteration cycles.”
“The Linux Foundation move is underappreciated. Vendor-neutral governance for MCP + Goose + AGENTS.md means there's a neutral standards body forming around agentic AI infrastructure. That's how you prevent one company from owning the protocol layer of the agentic web.”
“GUI agents are the missing layer for true software automation. A model that can reliably use any desktop app or web interface without APIs is transformative for enterprise workflow automation. The fact that a small European team is leading the OSWorld benchmark signals that vertical AI specialists are a real competitive force in 2026.”
“The YAML recipe system for automating workflows is genuinely useful for creative pipelines — batch processing, asset organization, research gathering. The fact that it stays local and works with Anthropic or OpenAI means you can pick your preferred model for each task.”
“As someone who constantly switches between design tools, browser previews, and CMS dashboards — a reliable GUI agent would be genuinely life-changing. Holo3's ability to handle multi-step UI workflows without brittle selectors or fragile Playwright scripts is what makes this interesting beyond the benchmark numbers.”
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