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Personal AI Memory Hub

Personal AI Memory Hub

Personal AI Memory Hub

CI

Open-source personal knowledge infrastructure for job applications and compatible AI assistants.

Public code. Private facts. No required paid LLM API.

Why this exists

People repeatedly explain the same work experience, projects, skills and career preferences to different AI assistants. This project maintains an approved source of truth accessible from authorized devices, so a resume is grounded in real evidence rather than invented achievements.

Related MCP server: Job Hunt Copilot

Working features (locally tested)

  • Private browser dashboard with signed, HttpOnly sessions.

  • Add, search and archive approved experience, projects and skills.

  • Review and approve or reject AI-proposed facts.

  • Bulk-import verified facts from JSON and restore approved facts from JSON backup exports.

  • Export memories, revisions and proposals as private JSON.

  • Paste a job description and retrieve matching source-linked career evidence without paid inference.

  • Role-separated owner and agent API credentials.

  • Authenticated, read-only MCP prototype: search_memory, get_memory, match_job.

  • GitHub Actions tests with local Cloudflare D1 migrations and real Worker API smoke tests.

Architecture

Layer

Implementation

Server and UI

Cloudflare Worker, TypeScript, server-rendered HTML

Database

Cloudflare D1 (SQLite)

Career evidence matching

Deterministic keyword overlap

Sessions

Signed 12-hour HttpOnly cookie

AI interoperability

JSON-RPC MCP over HTTPS, Bearer authentication

Optional future services

OAuth, free-model routing, Redis only if justified

Try locally

Requires Node.js 22+.

npm install
npm run check
npx wrangler d1 migrations apply memory-hub --local

Create a local .dev.vars containing MEMORY_API_TOKEN=<your-strong-random-token>, never commit it. Replace the placeholder with a secret of 40+ random characters. Then:

npm run dev

Open the local Worker URL, sign in, and add a synthetic test memory. Private information should only be used after reviewing the security model and creating backups.

Hosting

The deployment workflow is prepared, but the service has not been deployed. A user-controlled Cloudflare account and D1 database must be authorized first. See deployment setup.

Our $0/month goal assumes workloads remain within provider free-tier allowances; free capacity and terms may change.

Docs and development

Security and limitations

  • Never commit personal memories, resumes, access tokens, work-confidential data or production exports.

  • AI suggestions are pending until the owner approves them.

  • Bearer-authenticated MCP is implemented, but ChatGPT, Claude and Grok connectivity is not yet universally verified and may require OAuth support.

  • The current login design is suitable for personal MVP evaluation, not an audited multi-user product.

  • A production security and quota review is still required.

License

MIT

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