Mental Wealth Academy

Full project description — what is it, how it works, what problem it solves
Mental Wealth Academy is a decentralized science (DeSci) micro-university that combines agentic AI infrastructure with Chainlink CRE workflows to build verifiable tools for mental wellness education.
The mental health crisis is a data problem disguised as a feelings problem. U.S. adults facing mental illness has risen to 1-in-5, yet the personal development and wellness industries operate without verifiable outcomes, transparent funding, or open research pipelines. Learners have no way to prove what they've learned, researchers can't access real behavioral data, and funding flows to marketing rather than measurable impact.
MWA treats this as a DeSci problem. We build research-driven tools at the intersection of cyber-psychology, AI governance, and decentralized education — then put learners in the driver's seat of the systems that shape cognition.
Here's what's built and how CRE ties it together:
Azura — Autonomous Treasury Agent (academy-crm repo): Azura is an AI-powered treasury agent built entirely on CRE. Her workflow reads multi-asset onchain balances (BTC, ETH, WBTC, WETH), fetches real-world asset prices for gold, silver, platinum, and palladium from external APIs, computes a unified backing ratio at 18-decimal precision, and writes consensus-signed reports to smart contracts (AzuraToken, AzuraTreasury, AzuraTreasuryProxy on Sepolia) — all without human intervention. The CRE workflow compiles to WASM, executes across the decentralized oracle network, and settles onchain through cryptographically verified reports. This gives the Academy transparent, autonomous financial infrastructure — the kind of radical transparency that mental wellness funding has never had.
Research Governance Agent (moltbook-research repo): A CRE × AI governance workflow that aggregates research data, processes it through LLM-powered analysis, and produces governance-ready insights for the DAO. This is the DeSci backbone — automating the pipeline from raw wellness research to actionable community decisions.
Platform — Agentic LMS (platform repo): The core learning management system exploring cyber-psychology through structured curricula. Learners engage with content around Security, Identity, Power, and Connection — the four psychological pillars — while Azura evaluates progress and the treasury workflow ensures community resources are managed transparently.
Privacy-First Genomics Lab (genetics repo): A browser-native genomics tool where DNA data never leaves the user's device. Client-side SNP matching, genoset detection, and pharmacogenomics — giving learners direct, private access to the biological dimensions of their mental wellness.
Research Hub (research repo): Data visualization, statistical analysis, and curated daily readings — the Academy's open research layer feeding evidence back into curriculum and governance decisions.
The problem this solves: mental wellness infrastructure today is opaque, unverifiable, and disconnected from the science. MWA uses CRE to create a transparent loop — research informs education, education produces measurable outcomes, outcomes are verified on-chain, and treasury operations are fully autonomous and auditable. DeSci tools for healing, not just talking about healing.

How is it built?
The system is built across multiple repos within the Mental-Wealth-Academy GitHub org, with Chainlink CRE as the orchestration layer connecting AI agents, blockchain state changes, and external data sources.
Core stack: TypeScript and Solidity, deployed on Ethereum Sepolia. The CRE workflows compile to WASM and execute across the Chainlink decentralized oracle network.
academy-crm (Azura Treasury): CRE workflow in TypeScript — main.ts handles the workflow trigger, readers.ts fetches onchain balances via EVM client, fetchers.ts pulls external prices from CoinGecko and metals.dev APIs, report.ts builds ABI-encoded reports, and writer.ts delivers consensus-signed reports to the AzuraTreasuryProxy contract. Three Solidity contracts (AzuraToken, AzuraTreasury, AzuraTreasuryProxy) deployed on Sepolia handle the onchain state. The workflow is simulated and deployable via CRE CLI (cre workflow simulate / deploy / activate).
moltbook-research (Governance Agent): CRE × AI workflow in TypeScript with Solidity components — a research-governance-workflow that processes data through LLM inference and writes governance outputs onchain.
platform: Next.js-based agentic LMS with TypeScript, handling the learner-facing cyber-psychology curriculum.
genetics: Browser-native genomics lab in TypeScript — all computation runs client-side, zero data exfiltration.
research: TypeScript data visualization and statistical analysis tools.
Web layer: Next.js 15, Tailwind CSS 4, Framer Motion. The Azura dashboard at azura-theta.vercel.app shows portfolio allocation, asset tables, and treasury health in real-time.
Development tools: Foundry for smart contract testing (forge build / forge test), Bun for workflow dependencies, CRE CLI >= 1.0.10 for workflow simulation and deployment.