⚡ daily-ai-brief
Dedicated Daily AI Intelligence, Research Preprints, Frontier Models & Podcast Digest Engine for AI Agents and Developers.
daily-ai-brief aggregates, filters, and synthesizes hundreds of sources of daily AI breakthroughs into a single, high-density morning intelligence brief. Zero API keys, zero tokens wasted, zero configuration required.
🚀 Quick Start
⚡ Option 1: Universal 1-Line Installer
curl -fsSL https://daily-ai-brief.builditwithai.xyz/install | bash
🐍 Option 2: Run via Python (uvx)
uvx daily-ai-brief
🛠️ Model Context Protocol (MCP) Setup
Add daily-ai-brief directly to your favorite AI agent harness:
🤖 Claude Desktop / Claude Code
Add to claude_desktop_config.json:
{
"mcpServers": {
"daily-ai-brief": {
"command": "uvx",
"args": ["daily-ai-brief"]
}
}
}
💻 Cursor / Windsurf / Antigravity
Add to your IDE MCP settings:
{
"mcpServers": {
"daily-ai-brief": {
"command": "uvx",
"args": ["daily-ai-brief"]
}
}
}
🧭 Intelligence Coverage
daily-ai-brief synthesizes 4 real-time layers into a unified daily digest:
- 🏛️ Frontier AI Labs: Research announcements and blog posts from Berkeley AI Research (BAIR), Google DeepMind, Meta AI, Mistral AI, Microsoft Research, and Hugging Face.
- 🔬 Curated Preprints: Top daily research papers and breakthrough preprints from Hugging Face Daily Papers and arXiv (
cs.AI,cs.LG,cs.CL,stat.ML). - 🎙️ Podcast Insights: Episode summaries and key takeaways from leading technical discussions (Latent Space, Dwarkesh Podcast, No Priors, The Cognitive Revolution, TWIML AI).
- ⚡ Open Weights & Community: Trending open-source model drops from Hugging Face Hub and trending discussions from Hacker News AI.
📡 Available Tools
| Tool Name | Parameters | Description |
|---|---|---|
get_daily_ai_brief |
focus_areas, date |
1-call synthesized markdown executive brief across all 4 intelligence layers. |
get_frontier_lab_updates |
labs, max_items |
Direct updates from frontier AI research organizations. |
get_ai_podcasts |
podcasts, max_items |
Latest technical podcast drops with host and episode summaries. |
get_model_drops |
limit |
Trending open weights, model parameter scales, and download deltas on Hugging Face. |
get_arxiv_breakthroughs |
categories, query, max_results |
High-impact preprints filtered by topic and community engagement. |
skill_read |
skill_name |
Load bundled operational skills and prompts dynamically. |
skills_list |
(none) | List available operational skills. |
🔒 Telemetry
To opt out of anonymous usage telemetry:
export DO_NOT_TRACK=1
📄 License
MIT License. Free and open source for all developers and AI agents.
Release files for daily-ai-brief 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| daily_ai_brief-0.1.3.tar.gz | 20.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| daily_ai_brief-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 39.9 kB
Release files / daily_ai_brief-0.1.3.tar.gz
| Download URL | daily_ai_brief-0.1.3.tar.gz |
|---|---|
| Size | 20.4 kB |
| Tags | Source |
|
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Release files / daily_ai_brief-0.1.3-py3-none-any.whl
| Download URL | daily_ai_brief-0.1.3-py3-none-any.whl |
|---|---|
| Size | 19.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|