Intelligent content distillation tool. Aggregates content from RSS feeds and YouTube transcripts, filters by relevance, and generates executive summaries using local or cloud LLMs with real-time streaming and batch processing. Perfect for research, industry analysis, or staying current in any domain.
Requirements: Python 3.13+ (check with python --version)
Step 1: Install uv (Python package manager)
Windows:
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"macOS/Linux:
curl -LsSf https://astral.sh/uv/install.sh | shNote: Restart your terminal after installation to update your PATH.
Step 2: Run distil (auto-installs Ollama and models)
git clone https://github.com/ai-mindset/distil.git && cd distil
uv run distil runDistil automatically installs Ollama and downloads models as needed.
- Python 3.13+ (check with
python --version) - Internet connection for initial setup
- Everything else (uv, Ollama, models) is automatically installed
From source (development):
git clone https://github.com/ai-mindset/distil.git
cd distil
uv run distil run # Automatically sets up everything on first runFrom package (when published):
uv tool install distil
distil run # Automatically sets up Ollama and modelsCopy config.toml to your working directory and edit:
[llm]
model = "ollama/qwen2.5:3b" # Local (free) — or "anthropic/claude-sonnet-4-20250514" (requires API key)
[output]
directory = "~/distils" # Where to save distils
reading_time_minutes = 5 # Target reading time
[domain]
focus = "drug discovery, pharmacology, AI/ML for therapeutics" # Customize for your domain
[[feeds]]
url = "https://rss.arxiv.org/rss/cs.ai"
name = "arXiv AI"
keywords = ["drug", "molecule", "protein", "binding"] # Only items matching these
max_items = 5
# pattern = "(?i)(biotech|drug|pharma)" # Optional: regex pattern for advanced filteringFor cloud LLMs, set your API key:
macOS/Linux:
export ANTHROPIC_API_KEY="sk-..."Windows (PowerShell):
$env:ANTHROPIC_API_KEY="sk-..."Windows (Command Prompt):
set ANTHROPIC_API_KEY=sk-...Web UI (recommended):
uv run distil serve # Auto-installs dependencies if neededOpens browser at http://localhost:5001. Click "Fetch Items" to preview, then "Generate Distil".
CLI:
uv run distil run # Generate distil with defaults (auto-installs Ollama if needed)
uv run distil run --days 3 # Last 3 days onlyDistils are saved to history/distil-YYYY-MM-DD_HHMM.md in your current directory. View past distils at http://localhost:5001/history.
Edit config.toml to add feeds:
[[feeds]]
url = "https://example.com/rss"
name = "My Feed"
keywords = ["relevant", "terms"] # Optional: filter by keywords
max_items = 25 # Optional: limit items
# pattern = "(?i)(regex|pattern)" # Optional: regex for advanced filtering
# YouTube playlists/channels also supported
[[feeds]]
url = "https://youtube.com/@channel"
name = "YouTube Channel"
max_items = 10- ⚡ Zero-Config Setup: Automatically installs Ollama and downloads models on first run
- 🌍 Cross-Platform: Works on Linux, macOS, and Windows
- 📺 YouTube Support: Extract transcripts from YouTube videos and playlists
- 🌙 Dark Mode: Comprehensive dark/light theme with localStorage persistence
- 📊 Feed Health Monitoring: Real-time status tracking with detailed health reports
- 🔄 Batch Processing: Intelligent batching prevents LLM context window limits
- 📈 Real-time Streaming: Server-Sent Events (SSE) for live progress updates
- 🚀 Smart Port Management: Automatic port conflict detection and resolution
- 📁 History Management: View and manage past distils with web interface
- 🎯 Advanced Filtering: Keyword and regex pattern matching for precise content selection
| Issue | Solution |
|---|---|
| "Connection refused" from Ollama | Distil will automatically start Ollama server; if issues persist, check system logs |
| Slow generation | Reduce max_items per feed, or use fewer feeds |
| Missing items | Check keywords aren't too restrictive |
| Web app stuck at "Fetching..." | Check feed URLs are accessible; see feed health report |
| Timeout errors | System now uses batch processing to prevent this |
| Windows Ollama setup | Manual download required from https://ollama.com/download (auto-install not supported) |