αAGIALPHATHE META-AGENTIC FRONTIER v1.22.0 ↗

META-AGENTIC α–AGI · OPEN RESEARCH

Seize the Alpha.
Transform
the world.

A laboratory for the next frontier of intelligence. Discover opportunities. Orchestrate useful work. Follow the value through the entire loop.

No account. No API key. Start with a world worth improving.

αINSIGHT → IMPACT → INSIGHT

Identify · Give the mission a goal and bounded, explicit inputs.

06 connected Ascension stages24 original demos + 2 resources04 native mission workflowsWhat works & its limits ↗

NEW / THE COMPOUNDING LAB · v1.22.0

Proof, carried
forward.

Learn once. Freeze the capability. Test a different future. Inspect real predictions, expose failure, count the costs, and take the complete evidence with you.

Begin the experiment ↗

NOVA-SEEDS / PROOF BLOOM

Potential is a seed.
Proof is the bloom.

Five guided experiences. One complete path from unsupported claim to executable jobs, reviewed evidence and the next invention.

Enter the Proof Bloom ↗

THE WHITE PAPER, MADE EXPLORABLE

One idea.
An entire ecosystem.

Take a real computational journey through the original vision. Each decision changes the plan. Every result can be inspected.

Editable scenario data · actual portfolio and scheduling algorithms · real encryption · clearly labeled economic simulations

Methods & evidence ↗

NEW / THE INSIGHT ATLAS

Possibility, on a grand scale.
Evidence, at every step.

Enter the Insight Atlas ↗

Three connected experiences · editable inputs · exact calculations · replayable evidence · no account or API key

THE GOVERNANCE OBSERVATORY

Don’t just read
the theory.
Challenge it.

Move the assumptions. Watch strategies compete. Test the risk budget and the eight-day governance gate.

Enter the observatory ↗

01 / MAKE SOMETHING USEFUL

Your mission starts here.

Try the example. Replace it with your own inputs.
Every result comes with its method and limits.

CHOOSE A WORKFLOW

Exact bounded search

Advanced · edit native mission JSON

Ready. The example uses sample planning units; edit them for your problem.

Mission memory 0 saved

Only missions you explicitly save stay in this browser. Reload saved inputs to improve a decision. Export important work before clearing browser data.

02 / EXPLORE LOCAL INTELLIGENCE

A small model.
On your machine.

Try actual GPT-2 text generation in this browser. The model downloads only when you ask, then generates locally. It is a text-completion research baseline; it can be wrong and is not a reasoning assistant.

Open the full Insight simulation studio ↗
LOCAL MODEL LABGPT-2 · q8 · WASM

First use downloads about 128 MB of model weights plus the runtime. Prompts stay on this device.

Your model output will appear here.

03 / FOLLOW YOUR CURIOSITY

What do you need to decide?

Eleven practical workspaces. Bring your constraints, calculate the trade-offs, and export a plan you can use.

01 / Build a business

Ω-Lattice capital committee

Which investments fit a $1.2M budget and 500 staff days?

Investment slate · cash-flow model · downside sensitivityOpen workspace

02 / Build a business

Invention to operating value

Which inventions justify the cost of developing and operating them?

Development portfolio · prerequisite map · verification jobsOpen workspace

03 / Run operations

Supplier resilience desk

How should 60 batches be sourced when no supplier may exceed 45%?

Order allocation · landed costs · supplier-outage stress testOpen workspace

04 / Run operations

Factory delivery control

Can seven customer orders share four resources and meet the delivery window?

Resource-by-hour schedule · lateness report · priority orderOpen workspace

05 / Run operations

Product launch room

What delivery order fits a shared design, engineering and QA team?

Launch sequence · resource calendar · bottleneck analysisOpen workspace

06 / Run operations

Demand & replenishment desk

How much stock should be ordered for a two-week supplier lead time?

Holdout evaluation · replenishment quantity · demand stress testOpen workspace

07 / Run operations

Service staffing & backlog desk

Which shifts need extra staff, what will they cost, and can the backlog be cleared?

Shift-by-shift staffing · coverage caps · backlog flow · incremental costOpen workspace

08 / Run operations

Microgrid dispatch console

When should a battery charge while serving a facility across peak tariffs?

24-hour dispatch · energy balance · tariff cost comparisonOpen workspace

09 / Prove a claim

Proof Debt → AGI Jobs

Which claims survive the evidence, and what exactly must be proved next?

Evidence docket · assigned proof backlog · acceptance criteriaOpen workspace

10 / Prove a claim

Nova-Seeds pilot gate

Is a promising capability ready for an independently reviewed pilot?

Promotion hold reasons · proof jobs · attributable evidence docketOpen workspace

11 / Prove a claim

Second-order agency trial

Does redesigning the review pipeline improve outcomes after all stated costs?

Frozen selection · confusion matrices · costed held-out comparisonOpen workspace

THE ORIGINAL IDEAS, PUT TO WORK

Find your familiar starting point.

Each original demo opens its practical workspace. The research implementation and guide remain linked inside. Choose a demo and run it locally.

AI-GA meta-evolution

AI-GA meta-evolution

Invention to operating value: Which inventions justify the cost of developing and operating them? Development portfolio · prerequisite map · verification jobs

Open practical workspace ↗
Business v2

Business v2

Invention to operating value: Which inventions justify the cost of developing and operating them? Development portfolio · prerequisite map · verification jobs

Open practical workspace ↗
Business 3 Enterprise Studio

Business 3 Enterprise Studio

Reproducible planning: Select a constrained enterprise portfolio, stress the downside and export reviewable Ascension jobs.

Open practical workspace ↗
Business v1

Business v1

Ω-Lattice capital committee: Which investments fit a $1.2M budget and 500 staff days? Investment slate · cash-flow model · downside sensitivity

Open practical workspace ↗
Insight Discovery Workbench

Insight Discovery Workbench

Local evidence review: Screen cross-sector hypotheses, allocate review time and export input-bound verification jobs and plaintext Nova-Seed drafts.

Open practical workspace ↗
Insight v1

Insight v1

Demand & replenishment desk: How much stock should be ordered for a two-week supplier lead time? Holdout evaluation · replenishment quantity · demand stress test

Open practical workspace ↗
Marketplace

Marketplace

Supplier resilience desk: How should 60 batches be sourced when no supplier may exceed 45%? Order allocation · landed costs · supplier-outage stress test

Open practical workspace ↗
ASI world model

ASI world model

Factory delivery control: Can seven customer orders share four resources and meet the delivery window? Resource-by-hour schedule · lateness report · priority order

Open practical workspace ↗
Super Planner

Super Planner

Factory delivery control: Can seven customer orders share four resources and meet the delivery window? Resource-by-hour schedule · lateness report · priority order

Open practical workspace ↗
Cross-industry discovery

Cross-industry discovery

Ω-Lattice capital committee: Which investments fit a $1.2M budget and 500 staff days? Investment slate · cash-flow model · downside sensitivity

Open practical workspace ↗
Era of Experience · Learning Lab

Era of Experience · Learning Lab

Offline learning lab: Learns a bounded policy from synthetic outcomes, tests it against a frozen baseline, and exports reviewable evidence.

Open practical workspace ↗
Finance Alpha Research Terminal

Finance Alpha Research Terminal

Reproducible paper research: Inspect next-open fills, cash, costs and risk decisions; compare strategies and replay every reported result.

Open practical workspace ↗
GPT-2 CLI

GPT-2 CLI

Proof Debt → AGI Jobs: Which claims survive the evidence, and what exactly must be proved next? Evidence docket · assigned proof backlog · acceptance criteria

Open practical workspace ↗
Macro Sentinel

Macro Sentinel

Demand & replenishment desk: How much stock should be ordered for a two-week supplier lead time? Holdout evaluation · replenishment quantity · demand stress test

Open practical workspace ↗
Meta-Agentic v1

Meta-Agentic v1

Second-order agency trial: Does redesigning the review pipeline improve outcomes after all stated costs? Frozen selection · confusion matrices · costed held-out comparison

Open practical workspace ↗
Meta-Agentic v2

Meta-Agentic v2

Second-order agency trial: Does redesigning the review pipeline improve outcomes after all stated costs? Frozen selection · confusion matrices · costed held-out comparison

Open practical workspace ↗
Meta-Agentic AGI v3 Curriculum Lab

Meta-Agentic AGI v3 Curriculum Lab

Reproducible program induction: Generate tasks, evolve bounded solver configurations and review a frozen candidate on separate tasks.

Open practical workspace ↗
Meta-Agentic Tree Search · Search Lab

Meta-Agentic Tree Search · Search Lab

Offline search lab: Explore competing workflow rewrites, resource schedules, held-out review gates and an exhaustive benchmark.

Open practical workspace ↗
MuZero planning

MuZero planning

Supplier resilience desk: How should 60 batches be sourced when no supplier may exceed 45%? Order allocation · landed costs · supplier-outage stress test

Open practical workspace ↗
MuZero × MCTS × LLM

MuZero × MCTS × LLM

Product launch room: What delivery order fits a shared design, engineering and QA team? Launch sequence · resource calendar · bottleneck analysis

Open practical workspace ↗
OMNI smart city

OMNI smart city

Microgrid dispatch console: When should a battery charge while serving a facility across peak tariffs? 24-hour dispatch · energy balance · tariff cost comparison

Open practical workspace ↗
Presentation assets

Presentation assets

Nova-Seeds pilot gate: Is a promising capability ready for an independently reviewed pilot? Promotion hold reasons · proof jobs · attributable evidence docket

Open practical workspace ↗
Repo-Healer

Repo-Healer

Product launch room: What delivery order fits a shared design, engineering and QA team? Launch sequence · resource calendar · bottleneck analysis

Open practical workspace ↗
Governance Workbench

Governance Workbench

Proof Debt → AGI Jobs: Which claims survive the evidence, and what exactly must be proved next? Evidence docket · assigned proof backlog · acceptance criteria

Open practical workspace ↗
Sovereign Workbench

Sovereign Workbench

Signed, review-gated workflow: Choose a feasible portfolio, schedule approved work, and produce an attributable evidence brief.

Open practical workspace ↗
Shared demo utilities

Shared demo utilities

Proof Debt → AGI Jobs: Which claims survive the evidence, and what exactly must be proved next? Evidence docket · assigned proof backlog · acceptance criteria

Open practical workspace ↗

04 / TAKE THE NEXT STEP

Make it your agent.

Keep browser exploration light.
Move reviewed work to a persistent, controlled runtime.

01

Install the verified release

Download the wheel, installer, locked dependencies and checksums from the same release. Python 3.11–3.13 is supported.

Get the release ↗
03

Close the loop with confidence

Import your downloaded mission in the console. Execute it, inspect evidence and approve a signed result. Configure models, isolated coding and wallet identity deliberately.

$AGIALPHA receipts connect approved work to recorded value. The agent checks payments and records reinvestment earmarks. Spending stays under your control.

Identity & payment setup ↗
Verify a signed result from your agent

Check an exported agent result here, without uploading it. Obtain the agent’s public key through a trusted channel; copying a key from an unknown file does not establish identity.

Supports v1.4.0 exports. Verification does not establish the truth of sources or mainnet settlement.

THE ORIGINAL VISION, KEPT IN VIEW

Ambitious by design.
Accountable in use.

Identify → Learn → Think → Design → Strategise → Execute. The flywheel connects evidence, useful work, human review and memory. The original diagrams, research, examples and historical implementations remain available.

This release provides bounded tools toward that vision. AGI, autonomous profit and open-ended self-improvement remain aspirations, not demonstrated capabilities.

Read the original vision & flywheels ↗

Know what you are running.

Capability & boundary matrix ↗Demo and browser test evidence ↗Agent acceptance evidence ↗Workspace guide, privacy & recovery ↗Live acceptance checks ↗

CANONICAL $AGIALPHA · ETHEREUM · 18 DECIMALS

0xa61a3b3a130a9c20768eebf97e21515a6046a1fa

This is the $AGIALPHA project, separate from AGI Jobs.