Alpha‑Factory v1 👁️✨ — Multi‑Agent AGENTIC α‑AGI

Out‑learn | Out‑think | Out‑design | Out‑strategise | Out‑execute

“Vincent Boucher, a pioneer in AI and President of MONTREAL.AI since 2003, reshaped the landscape by dominating the OpenAI Gym with AI Agents in 2016 and unveiling the game‑changing “Multi‑Agent AI DAO” blueprint in 2017 (“The Holy Grail of Foundational IP at the Intersection of AI Agents and Blockchain” — watch the 2018 reveal 🎥, read).

AGI ALPHA AGENT (ALPHA.AGENT.AGI.Eth) Powered by $AGIALPHA.

Our AGI ALPHA AGENT—fuelled by the strictly‑utility $AGIALPHA CA: tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump token—now harnesses that visionary foundation—arguably the world’s most valuable, impactful & important IP—to unleash the ultimate alpha‑signal engine, ever.

Alpha‑Factory v1 is a reference‑grade, cross‑industry Multi‑Agent AGENTIC α‑AGI that detects live alpha and converts it into value—autonomously, safely and auditable—across every vertical.

Built on the leading agent frameworks:

• OpenAI Agents SDK (2024‑25)
• Google ADK — Agent Development Kit
• Agent‑to‑Agent (A2A) Protocol
• Model Context Protocol (MCP)
• Best‑practice guidance from “A Practical Guide to Building Agents” (OpenAI, 2025)

…and engineered to operate with or without an OPENAI_API_KEY (graceful offline fall‑back).

📜 Table of Contents

1. Design Philosophy
2. Capability Graph 🌐
3. Backend Agents 🖼️
4. Demo Suite 🎮
5. 5‑Minute Quick‑Start 🚀
6. Deployment Recipes 🍳
7. Runtime Topology 🗺️
8. Governance & Compliance ⚖️
9. Observability 🔭
10. Extending the Mesh 🔌
11. Troubleshooting 🛠️
12. Roadmap 🛣️
13. License

Design Philosophy

“We’ve moved from big‑data hoarding to big‑experience compounding.” — Sutton & Silver, Era of Experience

Each agent runs an experience loop:

Sense 👂	Imagine 🧠	Act 🤖	Adapt 🔄
Stream real‑time data (Kafka, MQTT, Webhooks)	Plan on a learned world‑model (MuZero‑style where useful)	Execute tool‑calls & external actions — every artefact wrapped in MCP	Online learning, antifragile to dependency loss

Heavy extras (GPU, FAISS, OR‑Tools, OpenAI) are optional; agents degrade gracefully to heuristics while preserving audit artefacts.

Capability Graph 🌐

graph TD
  subgraph α‑Mesh
    finance["💰 Finance"]
    biotech["🧬 Biotech"]
    manufacturing["⚙️ Manufacturing"]
    policy["📜 Policy"]
    energy["🔋 Energy"]
    supply["📦 Supply‑Chain"]
    marketing["📈 Marketing"]
    research["🔬 Research"]
    cyber["🛡️ Cyber‑Sec"]
    climate["🌎 Climate"]
    stub["🫥 Stub"]
  end
  classDef n fill:#0d9488,color:#ffffff,stroke-width:0px;
  class finance,biotech,manufacturing,policy,energy,supply,marketing,research,cyber,climate,stub n;

Call GET /capabilities to discover skills at run‑time.

Backend Agents 🖼️

#	Agent	Core Super‑powers	Heavy Deps	Key Env
1	Finance 💰	Multi‑factor alpha, CVaR 99 %, RL execution & OMS bridge	pandas, lightgbm, ccxt	ALPHA_UNIVERSE, ALPHA_MAX_VAR_USD
2	Biotech 🧬	UniProt/PubMed KG‑RAG, CRISPR off‑target design	faiss, rdflib, openai	BIOTECH_KG_FILE
3	Manufacturing ⚙️	CP‑SAT optimiser, CO₂ forecast	ortools, prometheus_client	ALPHA_MAX_SCHED_SECONDS
4	Policy 📜	Statute QA, ISO‑37301 risk tags	faiss, rank_bm25	STATUTE_CORPUS_DIR
5	Energy 🔋	Demand‑response bidding	numpy + APIs	ENERGY_API_TOKEN
6	Supply‑Chain 📦	VRP routing, ETA prediction	networkx, scikit-learn	SC_DB_DSN
7	Marketing 📈	Multi‑touch attribution, RL tuning	torch, openai	MARKETO_KEY
8	Research 🔬	Literature RAG, hypothesis ranking	faiss	—
9	Cyber‑Sec 🛡️	CVE triage, MITRE ATT&CK reasoning	faiss, threat‑intel APIs	VIRUSTOTAL_KEY
10	Climate 🌎	Emission forecasting	xarray, numpy	NOAA_TOKEN
11	Stub 🫥	Placeholder when deps missing	—	—

Each agent registers as an OpenAI Agents SDK tool and can be orchestrated from any LLM prompt or another agent.

Demo Suite 🎮

Demo	Purpose	Alpha Impact	Start
AIGA Meta Evolution 🧬	Agents evolve new agents/unit‑tests	Compounding discovery speed	docker compose -f demos/docker-compose.aiga_meta.yml up
Era Tutor 🏛️	Memory‑graph personal AI	Turns tacit memory into signals	docker compose -f demos/docker-compose.era.yml up
Finance Alpha 💹	Live momentum + risk parity bot	Real P&L > baseline	docker compose -f demos/docker-compose.finance.yml up
Macro Sentinel 🌐	News scanner → CTA hedge	Draw‑down hedge alpha	docker compose -f demos/docker-compose.macro.yml up
MuZero Lab ♟️	Planning under uncertainty	Execution alpha	docker compose -f demos/docker-compose.muzero.yml up
Self‑Healing Repo 🩹	Auto‑patch failing tests	Uptime alpha	docker compose -f demos/docker-compose.selfheal.yml up

5‑Minute Quick‑Start 🚀

git clone https://github.com/MontrealAI/AGI-Alpha-Agent-v0.git
cd AGI-Alpha-Agent-v0/alpha_factory_v1
pip install -r requirements.txt             # full‑fat

export ALPHA_KAFKA_BROKER=localhost:9092    # empty → stdout
# optional
export OPENAI_API_KEY=sk-...

python -m backend.orchestrator

Browse http://localhost:8000 (Swagger) and http://localhost:3000 (trace‑graph UI).

Deployment Recipes 🍳

Platform	One‑liner	Highlights
Docker Compose	docker compose up -d orchestrator	Kafka + Prometheus
Kubernetes	helm install af alpha-factory/stack	SPIFFE mTLS, HPA
AWS Fargate	infra/deploy_fargate.sh	Spot‑friendly SQS‑shim
Bare‑Metal Edge	python edge_runner.py --agents manufacturing,energy	Zero external deps

Runtime Topology 🗺️

flowchart LR
  subgraph α‑Mesh
    ORC([🛠️ Orchestrator])
    FIN(💰) BIO(🧬) MFG(⚙️) POL(📜) ENE(🔋) SUP(📦) MKT(📈) RES(🔬) CYB(🛡️) CLI(🌎)
  end
  ORC -- A2A / SDK --> FIN & BIO & MFG & POL & ENE & SUP & MKT & RES & CYB & CLI
  ORC -- Kafka --> DATALAKE[(🗄️ Data Lake)]
  FIN -.->|Prometheus| GRAFANA{{📊}}

Governance & Compliance ⚖️

• Model Context Protocol wraps every artefact (SHA‑256, ISO‑8601 ts, determinism seed).
• Agents self‑label COMPLIANCE_TAGS (gdpr_minimal, sox_traceable …).
• DISABLED_AGENTS=finance,policy → regulator‑friendly boot.
• Full audit chain logged to Sigstore Rekor.

Observability 🔭

Signal	Sink	Example
Heart‑beats	Kafka agent.heartbeat	latency_ms
Metrics	Prometheus	af_job_lateness_seconds
Traces	OpenTelemetry → Jaeger	alpha_factory.trace_id

Grafana dashboards live in infra/grafana/.

Extending the Mesh 🔌

pip install my_super_agent

# pyproject.toml
[project.entry-points."alpha_factory.agents"]
super = my_pkg.super_agent:MySuperAgent

Restart orchestrator — the agent self‑registers and appears on the graph.

Troubleshooting 🛠️

Symptom	Likely Cause	Fix
ImportError: faiss	Native lib missing	pip install faiss-cpu or rely on StubAgent
Agent quarantined	≥3 failures	Fix bug → restart (state persisted)
Kafka timeout	Broker down	Unset ALPHA_KAFKA_BROKER → stdout
402 (OpenAI)	Quota exhausted	Remove OPENAI_API_KEY → offline models

Roadmap 🛣️

1. Execution RL (live slippage minimiser)
2. Self‑play stress harness (antifragile loops)
3. Verifiable credentials for audit (OpenTelemetry × W3C VC)
4. Plug‑&‑Play Industry Packs (Energy, Logistics, Health‑Care)

License

MIT © 2025 MONTREAL.AI — forging the tools that forge tomorrow.