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Getting Started
The fastest route is the PALO Stakeholder Onboarding. It starts from your role and objective, recommends a practical next action, identifies the expected artifact, and links to the relevant PALO modules.
Experienced users can browse the Platform Map or open any module directly from paloframework.org.
git clone https://github.com/sev7enITA/PALOframework.git
cd PALOframework
python3 -m http.server 8000Open http://localhost:8000 in a modern browser.
The repository uses an allowlisted, deterministic build process.
npm ci
npm run build
npm run validate:dist
npm run build:checkThe complete P0 sequence also installs the checksum-verified OPA binary, validates the agentic contracts and reference runtime, builds the allowlisted distribution, checks its exact inventory, and runs browser smoke tests:
npm run p0The current repository requires Node.js 22 or newer and OPA. Use the reference runtime only with synthetic data and non-consequential tools.
npm ci
npm run opa:install
export PALO_OPA_URL=http://127.0.0.1:8181
export PALO_HMAC_KEYS_JSON='{"key-support-2026":"replace-with-a-secret-from-your-secret-manager"}'
npm run palo:mcpDo not connect the preview to production agents, sensitive data, privileged credentials, or consequential systems. Review the production-readiness route before designing any deployment.
PALO-AI v2.7 includes an executable data-assurance reference path for Action Claim 1.4. It binds current Data Fitness and signed Disclosure Contract digests to the claim, emits disclosure receipts, and invalidates prior allows after relevant assurance signals. These mechanisms remain prototypes and do not make the bundled SQLite/in-process runtime production-ready.
- Read Governance Routes.
- Complete the stakeholder onboarding.
- Use the Assessment Path to create a local evidence bundle.
- Review the Documentation Library, Platform Map, and release verification record.
- For delegated actions, continue to PALO-AI and Agentic Assurance.