Compare/AI Subroutines vs Goose v1.29

AI tool comparison

AI Subroutines vs Goose v1.29

Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.

A

Automation

AI Subroutines

Record a browser task once, replay it 500x at zero token cost

Ship

75%

Panel ship

Community

Free

Entry

AI Subroutines from rtrvr.ai are a new automation primitive: you record a browser task once (a form submission, a LinkedIn connection, a CRM update), and that recording becomes a deterministic, callable tool that AI agents can invoke with different parameters — without spending tokens on every run. Unlike Playwright, Browser-Use, or other out-of-process solutions, Subroutines execute entirely inside your browser tab, inheriting your live session cookies, CSRF tokens, and signed headers automatically. The technical approach is clever. During recording, the system captures network requests and DOM interactions, then ranks captured requests to identify the actual API call (filtering out analytics and telemetry). Replay-hostile identifiers are stripped while stable endpoints are preserved. The result is a script that runs in your browser context — no session rebuilding, no key extraction, no proxy rotation needed. The AI handles parameter selection; the script handles execution. The business case is clear for outreach and operations teams: bulk LinkedIn campaigns, CRM mass-updates, scraping pipelines, and form submissions that would cost hundreds of tokens per run instead execute as cheap deterministic scripts. The model positions Subroutines as the "function call" layer beneath AI agents — the actions that don't need intelligence every time they fire.

G

AI Agents

Goose v1.29

The open-source AI agent that uses your Claude, Gemini, or ChatGPT subscription

Skip

25%

Panel ship

Community

Free

Entry

Block's open-source on-machine AI agent just hit v1.29, introducing Gemini ACP (Agent Client Protocol) support so you can run the full Goose agent stack using your existing Google subscription — no separate API key needed. It also added orchestration for sub-agents, adversarial agent mode to prevent information leaks, delegate sub-agent log display, and macOS sandboxing. With 35k+ GitHub stars and Rust-based architecture, Goose goes far beyond autocomplete: it builds projects, writes and executes code, manages files, and calls external APIs autonomously. The ACP approach means your Goose extensions are passed directly to Gemini, deepening the connection compared to plain CLI usage.

Decision
AI Subroutines
Goose v1.29
Panel verdict
Ship · 3 ship / 1 skip
Skip · 1 ship / 3 skip
Community
No community votes yet
No community votes yet
Pricing
Free tier available (paid plans TBD)
Free / Open source (Apache 2.0). Use your own AI subscription (Claude, Gemini, ChatGPT) — no additional per-token cost.
Best for
Record a browser task once, replay it 500x at zero token cost
The open-source AI agent that uses your Claude, Gemini, or ChatGPT subscription
Category
Automation
AI Agents

Reviewer scorecard

Builder
80/100 · ship

The 'record once, replay many' pattern solves a real cost problem in agent pipelines. The in-browser execution model is clever — you get auth context for free instead of fighting with session management. This is the kind of tool that drops into existing workflows without requiring a rewrite.

80/100 · ship

This is exactly the architecture I want: a local agent that doesn't lock me into one AI provider's billing. The Gemini ACP integration means my Google One subscription now funds actual dev automation. The adversarial agent mode is also clever — finally an agent that polices itself before it nukes your filesystem.

Skeptic
45/100 · skip

Browser automation that runs inside your session is exactly the attack surface that malicious sites exploit. Subroutines executing in-tab with full cookie access means a compromised script could do real damage. The 'zero token cost' claim also obscures that you still need LLM calls for parameter selection — the savings are real but overstated.

45/100 · skip

Multi-agent orchestration sounds great until you're debugging a cascade failure at 2am wondering which sub-agent hallucinated first. The 35k stars are real but so is the complexity overhead. Claude Code and Cursor 3 have more polish for day-to-day use — Goose still feels like a power-user project.

Futurist
80/100 · ship

This is the 'compilation' step for agentic workflows — moving from 'LLM decides every click' to 'LLM selects a pre-compiled action.' That separation of concerns (intelligence vs. execution) is how you scale agent operations from one-off demos to production pipelines. The pattern will be widely copied.

45/100 · hot

The ACP subscription model is the thin edge of a wedge that eventually makes AI provider lock-in irrelevant. When agents can switch between Claude, Gemini, and GPT seamlessly based on cost and availability, the moat moves to the orchestration layer. Block is quietly building that layer in the open.

Creator
80/100 · ship

For creators doing outreach, social posting, or newsletter campaigns, this is genuinely transformative. Recording a campaign action once and letting AI handle personalization at scale is the efficiency unlock that makes solo creator businesses actually viable at volume.

45/100 · skip

The MCP Apps and rich UI stuff is interesting for creative workflows, but Goose is fundamentally a developer tool. The learning curve before it does anything useful for non-devs is steep. I'll check back when the Neighborhood Extension for ordering food is the least niche thing it can do.

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