How to: 4 · Demo Showcase 🎬
| # | Folder | Emoji | Lightning Pitch | Alpha Contribution | Start Locally |
|---|--------|-------|-----------------|--------------------|---------------|
|1|`aiga_meta_evolution`|🧬|Agents *evolve* new agents; genetic tests auto‑score fitness.|Expands strategy space, surfacing fringe alpha.|`cd alpha_factory_v1/demos/aiga_meta_evolution && ./run_aiga_demo.sh`|
|2|`alpha_agi_business_v1`|🏦|Auto‑incorporates a digital‑first company end‑to‑end.|Shows AGI turning ideas → registered business.|`./alpha_factory_v1/demos/alpha_agi_business_v1/run_business_v1_demo.sh [--pull] [--gpu]` (docs: `http://localhost:8000/docs`)|
|3|`alpha_agi_business_2_v1`|🏗|Iterates business model with live market data RAG.|Continuous adaptation → durable competitive alpha.|`./alpha_factory_v1/demos/alpha_agi_business_2_v1/run_business_2_demo.sh`|
|4|`alpha_agi_business_3_v1`|📊|Financial forecasting & fundraising agent swarm.|Optimises capital stack for ROI alpha.|`./alpha_factory_v1/demos/alpha_agi_business_3_v1/run_business_3_demo.sh`|
|5|`alpha_agi_marketplace_v1`|🛒|Peer‑to‑peer agent marketplace simulating price discovery.|Validates micro‑alpha extraction via agent barter.|`docker compose -f demos/docker-compose.marketplace.yml up`|
|6|`alpha_asi_world_model`|🌌|Scales MuZero‑style world‑model to an open‑ended grid‑world.|Stress‑tests anticipatory planning for ASI scenarios.|`docker compose -f demos/docker-compose.asi_world.yml up`|
|7|`cross_industry_alpha_factory`|🌐|Full pipeline: ingest → plan → act across 4 verticals.|Proof that one orchestrator handles multi‑domain alpha.|`./alpha_factory_v1/demos/cross_industry_alpha_factory/deploy_alpha_factory_cross_industry_demo.sh`|
|8|`era_of_experience`|🏛|Lifelong RL stack blending real & synthetic experience streams.|Showcases sensor-motor tools, grounded rewards & non-human reasoning.|`cd alpha_factory_v1/demos/era_of_experience && ./run_experience_demo.sh`|
|9|`finance_alpha`|💹|Live momentum + risk‑parity bot on Binance test‑net.|Generates real P&L; stress‑tested against CVaR.|`./alpha_factory_v1/demos/finance_alpha/deploy_alpha_factory_demo.sh`|
|10|`macro_sentinel`|🌐|GPT‑RAG news scanner auto‑hedges with CTA futures.|Shields portfolios from macro shocks.|`docker compose -f demos/docker-compose.macro.yml up`|
|11|`muzero_planning`|♟|MuZero in 60 s; online world‑model with MCTS.|Distills planning research into a one‑command demo.|`./alpha_factory_v1/demos/muzero_planning/run_muzero_demo.sh`|
|12|`self_healing_repo`|🩹|CI fails → agent crafts patch ⇒ PR green again.|Maintains pipeline uptime alpha.|`docker compose -f demos/docker-compose.selfheal.yml up`|
|13|`meta_agentic_tree_search_v0`|🌳|Recursive agent rewrites via best‑first search.|Rapidly surfaces AGI-driven trading alpha.|`mats-bridge --episodes 3`|
|14|`alpha_agi_insight_v1`|👁️|Zero‑data search ranking AGI‑disrupted sectors.|Forecasts sectors primed for AGI transformation.|`alpha-agi-insight-v1 --episodes 5`|

> **Colab?** Each folder ships an `*.ipynb` that mirrors the Docker flow with free GPUs.

The official Docker image bundles **PyTorch 2.2.x** and **Ray 2.10.0**. The
notebooks install PyTorch from the [PyTorch wheel index](https://download.pytorch.org/whl)
and pin Ray to the same version for compatibility.

* [Solving AGI Governance](alpha_factory_v1/demos/solving_agi_governance/README.md) — Monte‑Carlo governance simulation
  with optional OpenAI‑Agents/ADK integration.
  [Colab](alpha_factory_v1/demos/solving_agi_governance/colab_solving_agi_governance.ipynb)
* [Self‑Healing Repo](alpha_factory_v1/demos/self_healing_repo/README.md) — agents automatically craft patches when CI
  fails.
  The underlying `MetaRefinementAgent` **only simulates** improvement by
  generating placeholder diffs. We hope to replace this with genuine
  optimisation based on real performance metrics—contributions are
  warmly welcomed.
* **Note:** The `alpha_agi_business_3_v1` demo is intentionally left out of the published package. Clone this repository
  to run it from source.

| `USE_GPU` | PyTorch wheel URL |
|:--------:|-------------------------------------------------|
| `True`   |
|
| `False`  |
|