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LIVE DEMO · 83 ENTITIES · 91 RELATIONS

What memory actually looks like.

Three months of work as a 3D knowledge graph. Seven AI agents, 23 sessions, fifteen pivots — visualised. No fake data, no marketing demo. This is the real memory of a StudioMeyer Academy.

Drag · scroll to zoom · click nodes for detail

entities
83
relations
91
AI agents
7
sessions
23
pivots
15
Frankfurt
EU

What you're looking at

One story, three chapters.

Every node is a real step. Every connection is a real decision. This isn't generated — it's the memory of an Academy from February to April 2026.

FEBRUARY 2026

Concept emerges

Solo-operator idea. A memory-first academy for AI builders. The first decision nodes, the first entities — tech stack, audience, brand. Small, messy, full of open questions.

  • Memory-First curriculum
  • Next.js + MCP stack
  • Brand: "Academy"

MARCH 2026

Agent fleet grows

Seven specialised AI agents join. Skill tracking, first recipes, knowledge grows — but circular. Recipes reference concepts, concepts reference recipes. The graph gets denser.

  • 7 agents in the fleet
  • Skill pattern: success-rate-pill
  • Recipe layer Phase B

APRIL 2026

Memory-First pivot

Insight: monetisation kills learning velocity. Pivot — everything free. Visualisation instead of selling. Memory becomes visible. Pure-SVG first, then 3D force graph. Notes become a knowledge network.

  • MONETIZATION_VISIBLE = false
  • Phase 2+3 visualisation LIVE
  • 3D force graph demo

What memory actually does

Not "remember user preferences".

Memory stores what matters, connects it in the knowledge graph, forgets what gets stale, and delivers exactly the context the model would otherwise have to invent.

Knowledge graph with evidence

Entities plus typed relations with strength and evidence. Multi-hop traversal in a single tool call. You see above how projects, people, MCP servers and infrastructure connect to each other.

Hybrid search

Trigram plus full-text plus semantic embeddings plus RRF reranking. Finds "the SSL thing" even if you stored it as "Certbot renewal". Question-conditioned retrieval distinguishes episodic vs. semantic queries.

Confidence plus decay

Not all entries are equal. Confidence per learning, bi-temporal valid_from/valid_to, contradiction detection, automatic decay for stale memory. Plus point-in-time queries via asOf param.

MCP-native

53 tools that Claude, Cursor, Codex and Claude Desktop understand instantly. OAuth 2.1 with PKCE plus magic-link email plus Google, GitHub and Discord social login. No setup beyond a bearer token.

Multi-tenant in the EU

Supabase Pro Frankfurt with row-level security per tenant, active-standby HA with Hetzner floating IP, daily backups plus restore tests. GDPR compliant, IPv4 plus IPv6.

Import plus time travel

Import ChatGPT, Claude and Gemini history. Session start auto-loads sprint, recent sessions, top learnings and personality. The replay slider walks through every step of a past session as a timeline.

Connect in 30 seconds

One URL. No password. No setup.

Memory runs as a hosted MCP server. No server of your own, no database, no API keys in your .env. Just one URL and a login.

  1. In Claude Desktop: Settings → Connectors → Add custom connector
  2. Paste URL: https://memory.studiomeyer.io/mcp
  3. Authorise via email (magic link) or Google/GitHub/Discord
  4. Claude Code: claude mcp add studiomeyer-memory --transport http https://memory.studiomeyer.io/mcp

Health check and OAuth discovery are publicly reachable.

Ready for your own memory?

Free plan forever, Pro from $29/month. One URL and your AI never forgets — no matter which tool you use.

See Memory
Memory Live Demo — What AI Memory Actually Looks Like | StudioMeyer