# xxxily/hello-ai

It's not AI that takes away your job, but the people who master the use of AI tools. The most deadly attack is a dimension-reducing strike: destroying you has nothing to do with you - from "The Three-Body Problem".         中文说明： 抢走你工作的不是AI，而是掌握使用AI工具的人。 降维打击最为致命：毁灭你，与你何干《三体》

Repository: https://github.com/xxxily/hello-ai
Canonical: https://ross.abutalabs.com/products/hello-ai
Homepage: https://hello-ai.anzz.site/explore
Language: JavaScript
License: MIT
License Family: permissive
Topics: agi, ai, aigc, chatgpt, openai, stable-diffusion, hello-ai, claude-3, gemini, gpt-4
Last push: 2026-08-24T06:19:32+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 89
- inputs: {"age_days": 1258, "days_push": 9, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1390, forks 133 (observed 2026-08-28T04:04:35.602101+00:00)

## What it is
Hello-AI is an AI-agent-maintained directory of high-quality open-source AI projects, automatically discovering, evaluating, categorizing, and summarizing tens of thousands of GitHub repositories. It provides a searchable web interface (Hello-AI Explore) for browsing and filtering active AI projects across categories like foundation models, agents, RAG, and developer tools.

## Use cases
- find open-source AI projects worth following
- discover trending GitHub AI repositories
- browse a curated directory of agent frameworks and RAG tools
- filter AI projects by category and activity
- avoid stale or abandoned AI repos when choosing tools
- get quick AI-generated summaries of open-source projects

## When to choose
- you want a continuously updated, AI-curated map of the open-source AI ecosystem
- you need to survey many categories (models, agents, RAG, infra) in one place
- you prefer automated quality filtering over manually maintained awesome lists

## When to avoid
- you need deep documentation or tutorials rather than a project index
- you want a small hand-vetted list rather than a large auto-generated catalog
- you need offline access without the hosted web interface

## Facets
- artifact type: learning-resource
- maturity: active
- function: search-engine, developer-tools, data-science
- domain: artificial-intelligence, awesome-lists, developer-tools, large-language-models
- platform: self-hosted
- tags: ai-project-directory, awesome-list, ai-agent-maintained, project-discovery, navigation-hub, web-server, nodejs

## Member repositories
- xxxily/hello-ai (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:35.602101+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:39:40.638742+00:00, confidence not recorded.
  - readme: https://github.com/xxxily/hello-ai (fetched 2026-08-28T04:04:35.602101+00:00, sha 597122ef8561)
  - homepage: https://hello-ai.anzz.site/explore (fetched 2026-08-29T11:55:16.043373+00:00, sha d0d70e89d198)
  - registry_npm: https://registry.npmjs.org/hello-ai (fetched 2026-08-29T11:55:16.054859+00:00, sha bf20682853fc)
  - site_page: https://hello-ai.anzz.site/home (fetched 2026-08-29T11:55:16.052708+00:00, sha 201e659465ef)
- Data as of 2026-08-30T08:39:29.467469+00:00.
