Add Hermes control plane automation foundation#1
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Summary
This PR adds a first foundation layer for running TradingOrg as a Hermes-controlled research and post-game review engine on the home PC.
Added
AGENTS.mdwith repo-wide operating rules for AI agents.docs/HERMES_CONTROL_PLANE.mddescribing the Hermes/WebUI control-plane workflow.tradingagents-analyze-runtradingagents-postgametradingagents-update-lessonstradingagents/automation/.scripts/hermes/:run_single_ticker.shrun_daily_watchlist.shrun_postgame_review.shmemory/lessons.jsonlappend workflow..env.exampleupdates for local Ollama, remote Tailscale Ollama, OpenRouter/free-cloud fallback, and premium fallback model settings.reports/andmemory/.Changed
DEFAULT_CONFIGnow reads relevant LLM, routing, runtime, and data-vendor defaults from environment variables.base_urloverride provider defaults, enabling remote Ollama over Tailscale..gitignorenow excludes generated runtime outputs such as reports and JSONL lessons.Safety boundaries
This PR does not add broker execution. TradingOrg remains a research/signal generator only. Generated signals include
paper_only: trueand an execution policy stating that the signal must not directly place broker orders.Testing notes
Not run in this environment. Recommended local checks:
pip install -e . python -m pytest tests -q tradingagents-analyze-run --help tradingagents-postgame --help tradingagents-update-lessons --helpSuggested smoke test with local/home-PC Ollama: