AGI Jobs v0 (v2) — Demo → Tiny Recursive Model v0

AGI Jobs v0 (v2) is our sovereign intelligence engine; this module extends that superintelligent machine with specialised capabilities for demo/Tiny-Recursive-Model-v0.

Run the headless demo

From the repository root, use a Python 3.12 virtual environment:

python3.12 -m venv .venv-trm
source .venv-trm/bin/activate
python -m pip install -r demo/Tiny-Recursive-Model-v0/requirements-core.txt --extra-index-url https://download.pytorch.org/whl/cpu
python -m pip check
python demo/Tiny-Recursive-Model-v0/run_demo.py explain
python demo/Tiny-Recursive-Model-v0/run_demo.py simulate --trials 24 --seed 7
python -m pytest demo/Tiny-Recursive-Model-v0/tests test/demo/test_tiny_recursive_model_demo.py

The CLI reports synthetic task outcomes and simulated economics. These are not live paid settlements or measured production ROI. For the optional Streamlit dashboard, install requirements.txt in a separate virtual environment; its web dependencies must not overwrite the platform API's dependencies. When combining headless tests with the platform, install both requirement files in one pip invocation and run python -m pip check.

Overview

• Path: demo/Tiny-Recursive-Model-v0/README.md
• Module Focus: Anchors Demo → Tiny Recursive Model v0 inside the AGI Jobs v0 (v2) lattice so teams can orchestrate economic, governance, and operational missions with deterministic guardrails.
• Integration Role: Interfaces with the unified owner control plane, telemetry mesh, and contract registry to deliver end-to-end resilience.

Capabilities

• Provides opinionated configuration and assets tailored to demo/Tiny-Recursive-Model-v0 while remaining interoperable with the global AGI Jobs v0 (v2) runtime.
• Ships with safety-first defaults so non-technical operators can activate the experience without compromising security or compliance.
• Publishes ready-to-automate hooks for CI, observability, and ledger reconciliation.

Systems Map

flowchart LR
    Operators((Mission Owners)) --> demo_Tiny_Recursive_Model_v0[[Demo → Tiny Recursive Model v0]]
    demo_Tiny_Recursive_Model_v0 --> Core[[AGI Jobs v0 (v2) Core Intelligence]]
    Core --> Observability[[Unified CI / CD & Observability]]
    Core --> Governance[[Owner Control Plane]]

Working With This Module

1. From the repository root run npm install once to hydrate all workspaces.
2. Inspect the scripts under scripts/ or this module's package.json entry (where applicable) to discover targeted automation for demo/Tiny-Recursive-Model-v0.
3. Execute npm test and npm run lint --if-present before pushing to guarantee a fully green AGI Jobs v0 (v2) CI signal.
4. Capture mission telemetry with make operator:green or the module-specific runbooks documented in OperatorRunbook.md.

Directory Guide

Key Directories

• assets
• config
• data
• notebooks
• src
• tests
• trm_demo
• ui
• web

Key Files

• __init__.py
• demo_runner.py
• main.py
• Makefile
• OPERATOR_PLAYBOOK.md
• requirements.txt
• run_demo.py
• streamlit_app.py

Quality & Governance

• Every change must land through a pull request with all required checks green (unit, integration, linting, security scan).
• Reference RUNBOOK.md and OperatorRunbook.md for escalation patterns and owner approvals.
• Keep secrets outside the tree; use the secure parameter stores wired to the AGI Jobs v0 (v2) guardian mesh.

Next Steps

• Review this module's issue board for open automation, data, or research threads.
• Link new deliverables back to the central manifest via npm run release:manifest.
• Publish artefacts (dashboards, mermaid charts, datasets) into reports/ for downstream intelligence alignment.