Daily Digest

A morning briefing operator that searches the web for current news on your chosen topics and produces a concise, structured summary.

Requirements

OpenJarvis installed (git clone https://github.com/open-jarvis/OpenJarvis.git && cd OpenJarvis && uv sync or uv sync --extra dev)
An inference engine running (Ollama, cloud API, vLLM, etc.)

Usage

python examples/daily_digest/daily_digest.py --help
python examples/daily_digest/daily_digest.py --topics "AI,robotics,space"
python examples/daily_digest/daily_digest.py --topics "finance,crypto" \
    --model gpt-4o --engine cloud --output digest.md

How It Works

The script creates a Jarvis instance configured with the orchestrator agent and two tools:

web_search -- searches the web for current news on each topic
think -- internal reasoning scratchpad to organize and prioritize findings

The orchestrator agent searches for each topic, reasons about what is most newsworthy, and composes a daily briefing with per-topic bullet points and a closing outlook paragraph. Optionally saves the output to a file.