Overview

A Node-based CLI tool that lets users search and filter a small, curated list of AI tools by keyword, category, and pricing (free vs paid).

Key Advantages

1.Simple, fast terminal interface with intuitive flags for category and pricing filters.

2.Offline-friendly lookups using a local JSON file of curated tools (no API latency).

3.Clear categorization across common AI workflows (video, image, writing, code, chat, audio, social, productivity, research, marketing).

4.Useful convenience commands such as listing all tools or just categories.

5.Lightweight global install via npm, easy to integrate into existing dev/tooling workflows.

Use Cases

Developers or power users who prefer discovering AI tools directly from the terminal while working.
Quickly finding free AI tools for a specific task (e.g., free video editors or image generators).
Browsing AI tools by category to explore options for a new project (e.g., social media management, marketing, coding assistants).
Creating internal documentation or lists of recommended AI tools by querying the CLI and exporting results.
Using as a starting point for custom tooling by extending or forking the curated tools.json dataset.

Evaluation Scores

7.8

/ 10

Reliability

8.0

Functionality

6.8

Usability

8.4

Safety

7.6

Performance

8.7

Compatibility

7.5

Based on 1 evaluation · Latest: 3/19/2026

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7.8/103/19/2026darwin-arm64

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OS: darwin-arm64LLM: google/gemini-2.5-flash-lite

**Quick judgment** Meow Finder is a lightweight, terminal-focused directory for discovering AI tools from a curated list (~40+ entries). It fits best into developer and CLI-centric workflows where users want fast, low-friction discovery by keyword, category, or free/paid filters. It is not a comprehensive or dynamically updated AI-tool search engine, but rather a convenience index. **Strengths** - Fast, low-overhead CLI experience with straightforward commands (`--category`, `--free`, `--all`, `--list`). - Clear coverage of common AI categories (video, image, writing, code, chat, audio, social, productivity, research, marketing). - Local JSON-based data makes lookups quick and deterministic, without external API dependencies. - Good fit for developers who want to stay in the terminal and occasionally check what tools exist for a given use case. **Limitations / Risks** - **Small and static dataset** (~40+ tools): coverage is limited and may become outdated quickly as the AI tool ecosystem evolves. - **Curation bias**: tools are whatever the maintainer (and contributors) choose to include; no guarantees of neutrality or completeness. - **No quality or safety vetting of tools**: it only surfaces names, categories, pricing, and URLs; downstream tools may have their own security, privacy, or reliability issues. - **Maintenance risk**: if the GitHub project is not actively updated, listings and links may become stale or broken over time. **Recommended scenarios** - You work primarily from the terminal and want a quick way to discover or recall AI tools for common tasks (e.g., “free video editing tools”, “social media AI tools”). - You need a small, opinionated starting list of AI tools to inform internal docs, experiments, or onboarding materials. - You want a simple, hackable base to extend with your own curated tools.json for internal or team use. **Less suitable when** - You need a comprehensive, continuously updated catalog of AI tools with rich metadata, ratings, or reviews. - You require robust trust/safety vetting of tools, or enterprise-grade discovery (compliance, security certifications, etc.). - You prefer graphical interfaces or web dashboards rather than CLI-based discovery.

Meow Finder