MontrealAI/AGI-Alpha-Agent-v0

♾️ TRANSFORMATIONAL META‑AGENTIC α‑AGI 👁️✨ — Mission 🎯 End‑to‑end: Identify 🔍 → Out‑Learn 📚 → Out‑Think 🧠 → Out‑Design 🎨 → Out‑Strategise ♟️ → Out‑Execute ⚡ → Out-Evolve ♾️

What it solves

This project addresses the challenge of developing AI systems that can autonomously investigate real-world opportunities, produce concrete work products, and build successive capabilities that are verified and inherited -- without claiming full autonomy or ignoring the limits of current technology. It proposes a structured way to organize research, execution, and institutional design so that each step is evidence-producing and governed.

How it works

The project is a collection of research papers, experimental studies, and a guided website. It introduces concepts like Computer Use (using a model to act on real interfaces), Level 3 strategy development (competing strategies), and Level 4 problem reframing (challenging restrictive formulations). A central idea is the SUCCESSOR Ω -- a portable mission institution with four programs: WORLD (maintains beliefs), POLICY (proposes actions), PROOF (records independently demonstrated claims), and AUTHORITY (defines permitted actions). Successors inherit memory and history but must earn proof status and production authority from scratch. The papers describe bounded finite synthetic studies (not full physical deployment) that test concepts like capability inheritance, calibration, and autonomous foundries. Execution uses a separate native model and isolated runner, with a free browser-based planning environment.

Who it’s for

This is aimed at researchers, engineers, and organizations interested in the design and governance of autonomous AI systems -- especially those working on agent architectures, mission-critical automation, or long-term capability building. It is also for people who want to explore a structured, evidence-based approach to AI development without requiring a specific commercial deployment.

Highlights

  • Introduces a mission-governed successor architecture (SUCCESSOR Ω) separating beliefs, policies, proofs, and authority.
  • Provides free browser tools for planning and a guided website, with execution requiring a separately configured native model.
  • Includes bounded finite studies (e.g., capability inheritance, thermal-fluid foundry, discoverability) that report specific metrics and retained failures.
  • Offers a series of research papers on topics like Transformational Intelligence, Out-Strategise, Out-Evolve, and autonomous enterprises.
  • Emphasizes honest boundaries: it does not claim achieved AGI, autonomous sovereignty, or commercial viability; many studies note unproven costs and physical deployment not run.

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