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cipher813/README.md

Brian McMahon

Building Nous Ergon, a suite of agentic tools, including Crucible, an experiment harness for financial systems.

Crucible

Nous Ergon's flagship. A harness for running rigorous AI/ML experiments in finance — multi-agent research, ML prediction, and risk-gated execution, run as measured experiments and graded end-to-end by an evaluation layer.

nousergon.ai  ·  Live dashboard  ·  System Readme

Also under Nous Ergon

Metron — portfolio analytics across your brokerage accounts.

Open source: mnemon (cross-device long-term memory for AI agents via MCP) ·  morning-signal (self-hostable daily briefing podcast) ·  flow-doctor (error monitoring for Python pipelines — capture, dedupe, LLM root-cause, auto-fix PRs).

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  1. alpha-engine-research alpha-engine-research Public

    Nous Ergon — LangGraph multi-agent research pipeline: rolling investment theses, S&P 900 scanner, composite signal scoring

    Python

  2. alpha-engine-backtester alpha-engine-backtester Public

    Nous Ergon — signal quality analysis, portfolio simulation, and autonomous parameter optimization via sweep + VectorBT

    Python

  3. alpha-engine-predictor alpha-engine-predictor Public

    Nous Ergon — LightGBM predictor: 21-day market-relative alpha forecasts, walk-forward validation, veto gate

    Python 2

  4. mnemon mnemon Public

    Self-hosted, cross-device long-term memory for AI agents via MCP — one vault shared across any MCP client (Claude, Cursor, Gemini CLI, and more). Hybrid semantic + keyword search, your keys, no thi…

    Python

  5. flow-doctor flow-doctor Public

    Self-hosted error-monitoring for Python pipelines: capture exceptions, deduplicate, diagnose root causes with LLMs, route alerts (Telegram/Slack/email/GitHub/S3), and auto-generate fix PRs — from a…

    Python

  6. morning-signal morning-signal Public

    Open-source, self-hostable daily briefing podcast — Claude with web search writes it, Polly or Google Chirp3 TTS voices it, and it publishes an RSS feed you subscribe to in any podcast app. Runs on…

    Python 2