discover · compare · collections · requirements · contribute · feed · watching · stats · help with your tokens
Thysrael/Horizon · source
Snapshot 0 · 2026-11-04T12:47:28Z · Python · MIT
Content fingerprint
4ab2fa978ecb04d204b729ad07a73e952fe2b3b60caf68636f734d1e8d593e1dGitHub description at capture
📡 Your own AI-powered news radar. Generates daily briefings in English & Chinese. | 用 AI 构建你专属的新闻雷达
README at capture
<div align="center">
<h1>🌅 Horizon</h1>
<p><strong>Enjoy the News itself. Leave others to Horizon</strong></p>
<a href="https://trendshift.io/repositories/22864?utm_source=trendshift-badge&utm_medium=badge&utm_campaign=badge-trendshift-22864" target="_blank" rel="noopener noreferrer"><img src="https://trendshift.io/api/badge/trendshift/repositories/22864/daily" alt="Thysrael%2FHorizon | Trendshift" width="250" height="55"/></a>
<a href="https://trendshift.io/repositories/22864?utm_source=trendshift-badge&utm_medium=badge&utm_campaign=badge-trendshift-22864" target="_blank" rel="noopener noreferrer"><img src="https://trendshift.io/api/badge/trendshift/repositories/22864/daily?language=Python" alt="Thysrael%2FHorizon | Trendshift" width="250" height="55"/></a>
<a href="https://hellogithub.com/repository/Thysrael/Horizon" target="_blank"><img src="https://abroad.hellogithub.com/v1/widgets/recommend.svg?rid=7a4b606e28e4477998d35851cf4fdddf&claim_uid=rtjnLkYT7ziQJUG" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
<br>
[](LICENSE)
[](https://github.com/astral-sh/uv)
[](https://www.horizon1123.top/)
[](https://thysrael.github.io/Horizon/)
[](https://github.com/Thysrael/Horizon/commits/main)
[](https://github.com/Thysrael/Horizon/pulls)
📡 Your own AI-powered news radar. Generates daily briefings in English & Chinese. | 构建你专属的 AI 新闻雷达
[📖 Live Demo](https://thysrael.github.io/Horizon/) · [📋 Configuration Guide](https://thysrael.github.io/Horizon/configuration) · [💬 QQ Group](#community) · [简体中文](README_zh.md) · [日本語](README_ja.md)
</div>
## Screenshots
<table>
<tr>
<td width="50%">
<p align="center"><strong>Ranked Daily Briefing</strong></p>
<img src="docs/assets/overview_en.png" alt="Daily Overview" />
</td>
<td width="50%">
<p align="center"><strong>Context, Summary & Discussion</strong></p>
<img src="docs/assets/one_news_en.png" alt="News Detail" />
</td>
</tr>
</table>
<details>
<summary><strong>More Screenshots</strong></summary>
<br>
<table>
<tr>
<td width="50%" valign="top">
<p align="center"><strong>Terminal Output</strong></p>
<img src="docs/assets/terminal_log.png" alt="Terminal Output" />
</td>
<td width="50%" valign="top">
<p align="center"><strong>Feishu Notification</strong></p>
<img src="docs/assets/feishu_en.png" alt="Feishu Notification" />
</td>
</tr>
<tr>
<td width="50%" valign="top">
<p align="center"><strong>Email Delivery</strong></p>
<img src="docs/assets/email.png" alt="Email Delivery" />
</td>
<td width="50%" valign="top">
<p align="center"><strong>WeChat Delivery</strong></p>
<img src="docs/assets/wechat.jpg" alt="Horizon briefing header, overview, and details in WeChat" />
</td>
</tr>
</table>
</details>
## Why Horizon?
Good reads are scattered across feeds, forums, and timelines. Your attention isn't unlimited. Horizon collects, filters, and deduplicates them, then brings the worthwhile ones to you with context and community discussion.
Your taste shapes what you read—and what you want from it. A news story calls for “why it matters”; an engineering deep dive calls for “what I can use.” Horizon's **profiles** give each kind of content its own scoring criteria and output, for a briefing that feels handpicked.
## Features
- **📡 Bring Your Sources Together** — Follow RSS, Hacker News, Reddit, Telegram, X, GitHub, financial news, and more.
- **🎯 Decide What's Worth Reading** — Define scoring rubrics with profiles, set individual thresholds, and merge repeated stories within each profile.
- **🧩 Give Every Read the Right Treatment** — Choose summaries, context, solutions, or takeaways with Markdown prompts and JSON block definitions.
- **💬 Go Beyond the Headline** — Add web-researched background and community discussion where they help explain the story.
- **⚖️ Make Room for All Your Interests** — Cap the briefing's length and each category's share so one busy topic doesn't crowd out the rest.
- **📬 Read Where You Already Are** — Generate English and Chinese briefings as Markdown, publish to Pages, or deliver by email and webhook.
### One Briefing, Different Ways to Read
A profile is a reusable set of editorial rules: **what belongs, what's worth keeping, and what to write.** Built-in examples:
| What you follow | Profile | What you get |
|---|---|---|
| Technology news | `tech-news` | Events and context, with impact and community discussion when useful |
| Engineering deep dives | `tech-blog` | Background, solution, and practical takeaways |
| AI creator material | `ai-creator` | A summary, with timely hooks and content angles when useful |
Assign a profile to a source, or let AI choose. Want a different take? Adapt an existing profile—usually without changing Python. [Make a profile your own →](docs/profiles.md)
## How It Works
[Editable OmniGraffle source](docs/assets/architecture.graffle)
**Profiles define the treatment; runtime settings reflect your reading preferences.** Each item routes to one profile. Analysis, filtering, and deduplication happen before enrichment, then the selected items become a briefing grouped by profile.
Run the full pipeline through the CLI, or let an AI assistant call its stages through [MCP](src/mcp/README.md).
## Agent Skill
Let your AI assistant configure sources, customize Profiles, and run Horizon:
```bash
npx skills add Thysrael/Horizon --skill horizon -g
```
[Setup and usage](docs/agent-skill.md) · [Download Skill ZIP](https://thysrael.github.io/Horizon/downloads/horizon-skill.zip)
The command requires Node.js 22.20+. Then ask your assistant to install and configure Horizon, or follow the Quick Start below.
## Quick Start
### 1. Install
**Option A: Local Installation**
```bash
git clone https://github.com/Thysrael/Horizon.git
cd Horizon
# Install with uv (recommended)
uv sync
# Install test/development extras when needed
uv sync --extra dev
# Or with pip
pip install -e .
```
`dev` is currently defined as an optional extra in `pyproject.toml`, so use `uv sync --extra dev` for pytest and other development dependencies.
If you want the optional OpenBB financial-news source, install its extra too:
```bash
uv sync --extra openbb
```
If `openbb` pulls packages without wheels on your machine, install the SDK manually with binaries only:
```bash
uv pip install --only-binary=:all: openbb openbb-benzinga
```
**Option B: Docker**
```bash
git clone https://github.com/Thysrael/Horizon.git
cd Horizon
# Optional: build with comma-separated extras before the first run
docker compose build --build-arg EXTRAS=openbb horizon
```
Full-text extraction with `trafilatura` is included in the base install. The `twitter` extra also requires a Playwright browser and system packages, which the current Dockerfile does not install.
### 2. Configure
**Option A: Interactive wizard (recommended)**
```bash
uv run horizon-wizard
```
The wizard asks about your interests (e.g. "LLM inference", "嵌入式", "web security") and auto-generates `data/config.json`. See [Interactive Wizard](docs/configuration.md#interactive-wizard) for CLI options.
Eligible ChatGPT subscribers can choose `openai-chatgpt` to use their plan through [Sign in with ChatGPT](docs/chatgpt.md), without an OpenAI API key.
**Option B: Manual configuration**
```bash
cp .env.example .env # Add your API keys
cp data/config.example.json data/config.json # Customize your sources
```
Minimal manual configuration:
```jsonc
{
"ai": {
"provider": "openai",
"model": "gpt-4",
"api_key_env": "OPENAI_API_KEY"
},
"sources": {
"rss": [
{
"name": "Simon Willison",
"url": "https://simonwillison.net/atom/everything/",
"profile": "tech-news"
}
]
},
"processing": {
"profiles_dir": "profiles",
"default_profile": "tech-news",
"profile_settings": {
"tech-news": {
"threshold": 7.0,
"topic_dedup": true
}
}
}
}
```
An explicit source `profile` uses that profile directly. Omit it or set it to
`"auto"` to let AI match the item against all available profiles. Set it to an
array such as `["tech-news", "finance-news"]` to restrict AI matching to those
profiles. See
[Processing Profiles](docs/profiles.md) for profile structure and behavior.
Per-profile user preferences such as score thresholds and topic deduplication
belong in `processing.profile_settings`, not in the profile files.
**Balanced digest (optional)**
Limit the final digest size and prevent one category from dominating the
results. Categories come from source configuration such as
`sources.rss[].category`.
```jsonc
{
"digest": {
"max_items": 20,
"category_groups": {
"ai": {
"limit": 5,
"categories": ["ai-news", "ai-tools", "machine-learning"]
},
"finance": {
"limit": 5,
"categories": ["finance", "business", "equities"]
}
},
"default_group": "other",
"default_group_limit": 3
}
}
```
Group limits are applied after profile filtering and before enrichment. If
`category_groups`, `max_items`, and `default_group_limit` are omitted, no balanced
digest limits apply.
`api_key_env` must be the name of an environment variable, not the API key
itself. Put the real secret in `.env`:
```bash
OPENAI_API_KEY=sk-your-key
```
For Gemini, use `GOOGLE_API_KEY`:
```jsonc
{
"ai": {
"provider": "gemini",
"model": "gemini-2.0-flash",
"api_key_env": "GOOGLE_API_KEY"
}
}
```
Any string value in `data/config.json` can reference environment variables with `${VAR_NAME}`. This is useful for values such as `ai.base_url`, private RSS feed URLs, webhook endpoints, or custom header templates.
For the full reference, see the [Configuration Guide](docs/configuration.md).
### 3. Run
**A. Local installation**
```bash
uv run horizon [OPTIONS]
```
**B. Docker**
```bash
docker compose run --rm horizon [OPTIONS]
```
| Option | Default | Description |
|--------|---------|-------------|
| `--hours N` | 24 | Fetch from last N hours |
| `-d`, `--data-dir PATH` | `data` | Path to the data directory |
| `-c`, `--config PATH` | `<data-dir>/config.json` | Path to config file |
| `-l`, `--log-level LEVEL` | `WARNING` | Logging level (DEBUG/INFO/WARNING/ERROR/CRITICAL) |
`--data-dir` changes the state directory, including summaries, subscribers, and the default config location; `--config` changes only the config file. The generated report is saved to `data/summaries/` (or `<data-dir>/summaries/` if `--data-dir` is set). See [Configuration Paths](docs/configuration.md#configuration-paths) for combining both flags and initializing a custom config location.
### 4. Automate (Optional)
Schedule Horizon with **GitHub Actions** using the [daily workflow template](.github/workflows/daily-summary.yml.disabled). The template is disabled in this repository; configure it for your deployment and rename it to `daily-summary.yml` to enable it.
## Supported Sources
| Source | What it fetches | Comments |
|--------|----------------|----------|
| **Hacker News** | Top stories by score | Yes (top N comments) |
| **RSS / Atom** | Any RSS or Atom feed | — |
| **Reddit** | Subreddits + user posts | Yes (top N comments) |
| **Telegram** | Public channel messages | — |
| **Twitter / X** | User timelines + keyword searches (Apify) | Yes (top N replies) |
| **GitHub** | User events & repo releases | — |
| **OpenBB** | Financial company news by watchlist/provider | — |
| **OSS Insight** | Trending open-source repositories | — |
| **GDELT** | News matching a search query | — |
| **Google News** | News search via RSS | — |
## Where Your Briefing Goes
Horizon can publish or deliver the generated briefing in several ways:
| Channel | What it does |
|---------|--------------|
| **GitHub Pages Daily Site** | Copies generated Markdown into `docs/` so GitHub Pages can publish a daily-updated briefing site |
| **Email Subscription** | Sends the daily briefing to subscribers and handles subscribe/unsubscribe requests through SMTP/IMAP |
| **Webhook Notification** | Pushes success or failure results to Feishu/Lark, DingTalk, Slack, Discord, or any custom webhook endpoint |
| **WeChat Notification** | Sends briefings through iLink Bot after QR login and a message from you; WeChat reply limits apply |
For delivery setup, see the [Configuration Guide](docs/configuration.md). To run pipeline stages from an AI assistant, use the **MCP Server**: [tools](src/mcp/README.md) · [client setup](src/mcp/integration.md).
## Supported By
Horizon is an open-source project maintained in spare time. If you'd like to support the project or be listed here, feel free to [open an issue](https://github.com/Thysrael/Horizon/issues/new) or [email me](mailto:thysrael@163.com).
| Supporter | Details |
|-----------|---------|
| [<img src="docs/assets/modelflare-logo.png" alt="Modelflare" width="220" />](https://modelflare.dev/sign-up?utm_source=github&utm_campaign=horizon) | Thanks to Modelflare for sponsoring this project! Modelflare: Full strength, stable, nothing watered down. Global SOTA models at a lower cost. Operated by US-based Havenbyte LLC, Modelflare supports GPT, Claude, Gemini, Grok, and other leading models through common compatible protocols, plus 40+ image and video models.<br><br>Cache compensation is a highlight: selected OpenAI groups (price-first, stable, and premium) guarantee daily cache hit rates of 65%, 75%, or 85%, and if eligible requests fall short, Modelflare refunds the difference, visible on the usage dashboard after settlement.<br><br>Special offers: a single top-up of US$20 unlocks the GPT discount group at a 0.015x price multiplier, and a single top-up of US$50 unlocks the Claude discount group at a 0.03x multiplier. Register via [this exclusive link](https://modelflare.dev/sign-up?utm_source=github&utm_campaign=horizon) to get started. |
| [<img src="docs/assets/compshare-logo.png" alt="Compshare / 优云智算" width="220" />](https://www.compshare.cn/?ytag=GPU_YY_git_Horizon) | Compshare currently supports Horizon. Compshare is UCloud's AI cloud platform, offering cost-effective monthly and pay-as-you-go domestic model agent plans starting from RMB 49/month, as well as stable officially relayed overseas models. It supports Claude Code, Codex, and API usage, with enterprise-grade high concurrency, 24/7 technical support, and self-service invoicing.<br><br>Register through their [link](https://www.compshare.cn/?ytag=GPU_YY_git_Horizon) to receive a free RMB 5 trial credit. |
| [<img src="docs/assets/ofoxai-logo.svg" alt="OfoxAI" width="220" />](https://ofox.ai/?utm_source=github&utm_medium=sponsorship&utm_content=horizon) | OfoxAI is a unified AI API platform bringing together text, image, and video models from multiple providers. With OpenAI-compatible endpoints and native Anthropic and Gemini interfaces, developers can access models for AI applications, agents, and content creation through one platform.<br><br>[Explore OfoxAI models and APIs →](https://ofox.ai/?utm_source=github&utm_medium=sponsorship&utm_content=horizon) |
| [<img src="docs/assets/astraflow-logo.png" alt="AstraFlow" width="100" /><br>AstraFlow](https://www.ucloud.cn/site/active/astraflow-credit?ytag=geo_waituo_Horizon) | Thanks to AstraFlow for sponsoring Horizon! AstraFlow is UCloud's model platform, bringing together 200+ leading AI models and video generation models for text and video creation in one place. It offers per-key billing and detailed usage records.<br><br>Exclusive offer for Horizon users: [claim RMB 50 in compute credits](https://www.ucloud.cn/site/active/astraflow-credit?ytag=geo_waituo_Horizon) to try model APIs and content creation. |
## Documentation
| Guide | Description |
|-------|-------------|
| [Configuration](docs/configuration.md) | AI providers, sources, profiles, filtering, email, webhook, WeChat, GitHub Pages, and MCP setup |
| [Processing Profiles](docs/profiles.md) | Profile routing, prompts, runtime filtering preferences, enrichment blocks, and tools |
| [Scoring](docs/scoring.md) | How Horizon evaluates and ranks news items |
| [Scrapers](docs/scrapers.md) | Source scraper details and extension notes |
| [Extractors](docs/extractors.md) | Full article extraction for RSS sources |
| [MCP Tools](src/mcp/README.md) | Tool reference for MCP-compatible clients |
| [Agent Skill](docs/agent-skill.md) | Use an AI assistant to configure, run, customize, schedule, and extend Horizon |
## Project Status
Horizon already supports the full daily briefing loop: multi-source collection, profile-driven analysis and enrichment, deduplication, comment summaries, bilingual generation, GitHub Pages publishing, email delivery, webhook delivery, WeChat delivery, Docker deployment, MCP integration, and the setup wizard.
Planned improvements:
- More source types, such as Discord
- Publish releases on GitHub
- Publish the package to PyPI for `pip install`
## Community
Join the Horizon user and developer QQ group to share sources, profiles, and deployment tips.
<p align="center">
<img src="docs/assets/qq-group.png" alt="QR code for Horizon QQ group 1106121909" width="240" height="240" />
<br />
<strong>QQ group: 1106121909</strong><br />
Scan with QQ or search the group number to join.
</p>
## Contributing
Contributions are welcome. See [CONTRIBUTING.md](CONTRIBUTING.md) for code, documentation, and source-sharing guidelines.
### Share Sources
Want to share valuable source discoveries with the Horizon community? Please submit them through **[horizon1123.top](https://horizon1123.top)**.
## Acknowledgements
- Special thanks to [LINUX.DO](https://linux.do/) for providing a promotion platform.
- Special thanks to [HelloGitHub](https://hellogithub.com/) for valuable guidance and suggestions.
- Special thanks to [AIGC Link](https://xhslink.com/m/80ngts127cA) for the promotions on XiaoHongShu.
## License
[MIT](LICENSE)