AI tool comparison
Agent! vs Eyeball
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Developer Tools
Agent!
Native macOS AI coding agent — no subscriptions, 17 LLMs, full undo
75%
Panel ship
—
Community
Free
Entry
Agent! is an open-source, native macOS application that aims to replace subscriptions to Claude Code, Cursor, and Cline — all in one local app. Built with SwiftUI, it connects to 17 LLM providers including Claude, GPT-4o, Gemini, Grok, and Ollama for fully local runs, and taps Apple Intelligence for on-device token compression when context windows overflow. The standout feature is Time Machine-style file backup with one-click undo on any edit — a safety net conspicuously missing from most AI coding tools today. It also controls macOS via the Accessibility API, automates Safari and Playwright for web tasks, executes shell commands, and handles iMessage-triggered commands. Multi-tab support lets you run parallel agent sessions without context bleed. Zero telemetry, bring-your-own-API-keys, MIT licensed. For developers tired of juggling multiple AI coding subscriptions or uncomfortable with code leaving their machine, this is a compelling local-first alternative that's appeared on Hacker News today.
Developer Tools
Eyeball
Inline screenshots with every AI claim — hallucination's paper trail
75%
Panel ship
—
Community
Free
Entry
Eyeball is an indie tool that fights AI hallucination in document analysis by embedding inline screenshots of the actual source passages alongside each AI-generated claim. When you analyze a PDF or document with Eyeball, the output is a Word doc where every statement has a highlighted screenshot of the precise text it came from — because screenshots are harder to hallucinate than quotes. The tool emerged from a simple observation: AI systems routinely fabricate citations and misquote sources, and quote-only verification still requires humans to manually hunt down the original text. Eyeball short-circuits that by attaching the visual evidence directly to each claim in the output document. Legal, compliance, and research reviewers can audit AI outputs at a glance rather than cross-referencing. Built in Python, Apache 2.0 licensed, launched as a Show HN six days ago and gaining traction. The approach is low-tech by design — no vector embeddings, no proprietary API calls — just precise text highlighting, screenshot capture, and Word document assembly. The simplicity is the point: verifiable AI outputs shouldn't require a research budget.
Reviewer scorecard
“The Time Machine undo alone makes this worth trying — every AI coding tool should have this and almost none do. Bring-your-own-keys with 17 providers means you're not locked in. The Accessibility API integration is powerful for automating macOS tasks beyond just code.”
“This is the kind of clever, unglamorous tool that actually solves a real problem. The insight that screenshots are harder to hallucinate than quotes is simple but profound. Drop this into any pipeline that serves legal or compliance users immediately.”
“macOS-only by definition, and native apps require significant maintenance across OS updates. The GitHub repo is brand new — no track record, unknown reliability in production codebases. Apple Intelligence compression sounds clever until you realize it adds another dependency and single point of failure.”
“Screenshots of source text don't prevent the underlying problem — an AI can still misinterpret or misconstrue what the screenshot says. It adds friction to the review process without fixing the root cause. Useful for basic verification but don't mistake it for a hallucination solution.”
“Local-first AI coding is the natural endgame for privacy-conscious developers and regulated industries. The Time Machine approach hints at a future where AI edits are fully auditable and reversible — a property that will become legally required in some domains.”
“Provenance-by-design is going to be mandatory for AI in regulated industries. Eyeball's approach — baking visual evidence into every claim — points toward a future where AI outputs are self-auditing. This is an indie tool today; it's a compliance standard in three years.”
“The multi-tab parallel agent feature is genuinely exciting for creative workflows — run one agent exploring a design system while another drafts the implementation. Zero subscriptions means a solo creator can access frontier models without a $200/month tab.”
“For editorial and research work, knowing exactly where an AI got its information is table stakes. Eyeball makes that process visual and immediate — that's a huge quality-of-life improvement for anyone who fact-checks AI-generated research.”
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