What makes Merkraum different
Auditable & Inspectable
Fixed schema with 8 node types and 14 relationship types. Every knowledge operation logged. Your compliance team can trace what your AI knows, when it learned it, and why it changed its mind.
Beliefs & Contradictions
Not just storage, but epistemology. Confidence scores, contradiction flags, belief supersession. Your AI doesn't silently overwrite — it reasons about change.
EU Sovereignty
EU-hosted (Frankfurt), GDPR Art. 17 compliant, no CLOUD Act exposure. Built for organizations where data residency is non-negotiable. Ready for the EU AI Act (August 2, 2026).
Fixed Schema
No open-vocabulary extraction — the system categorizes automatically into 5 knowledge types (fact, state, rule, belief, memory). Quality over data noise.
Dreaming
Periodic consolidation: Merkraum reviews stored knowledge, finds patterns, strengthens connections. Your AI learns even when you're not working.
Open Standard
MCP protocol. Docker Compose. No vendor lock-in. Works with Claude Desktop, Claude Code, Cursor, and any MCP-compatible client.
PII Gateway
Automatic detection of personally identifiable information (EN + DE) before storage. Block, warn, or log — configurable per project. No competitor offers this.
Managed Forgetting
Knowledge has a shelf life. Automatic expiration, configurable TTL, renewal of important nodes. Your memory stays current instead of accumulating noise.
Certainty Governance
Confidence decays over time. Stale beliefs automatically surface in the review queue. Your AI knows what it no longer knows for certain.
How it works — in 3 steps
Create an account
Sign up at merkraum.de. No API key needed, no infrastructure, no DevOps knowledge.
Connect via MCP
Add the MCP configuration to Claude Desktop or claude.ai. One JSON block, done.
Build knowledge
Your AI instantly has access to 26 knowledge tools: store, search, connect, manage beliefs, traverse the graph, scan for PII, verify audit trails. The more you use it, the better your memory gets.
{
"mcpServers": {
"merkraum": {
"type": "streamable-http",
"url": "https://mcp.merkraum.de/mcp"
}
}
}
Why not just use ChatGPT Memory?
| ChatGPT / Claude Memory | Mem0 | Hindsight | Merkraum | |
|---|---|---|---|---|
| Structured Graph (fixed schema) | No — flat list | Open vocabulary | No — 4 networks | Yes — 8 types, 14 relations |
| Beliefs & Confidence | No | No | Yes (Opinion network) | Yes |
| Contradiction Detection | No | Partial (LLM) | Partial (belief evolution) | Yes — typed (CONTRADICTS, SUPERSEDES) |
| Provenance Tracking | No | No | Partial | Yes — cycle, source, timestamp |
| Audit Trail | No | No | No | Yes — every operation logged |
| EU Hosting / GDPR | US servers | US servers | US servers | Frankfurt (eu-central-1) |
| Dreaming / Consolidation | No | No | No | Yes |
| PII Detection | No | No | No | Yes — EN + DE, 4 modes |
| Managed Forgetting | No | No | No | Yes — TTL, confidence decay |
| Self-hosted Option | No | Cloud only | Yes (MIT) | Yes (Docker) |
| Vendor Lock-in | ChatGPT / Claude only | API-bound | MCP standard | MCP standard — open |
Security & Privacy — from day one
EU-hosted
AWS Frankfurt (eu-central-1). Your data never leaves the EU.
Encrypted
TLS everywhere. Encryption at rest. OAuth 2.0 + PKCE authentication.
Audit Trail
Every operation logged: who, what, when. Fully traceable for compliance officers and regulators.
EU AI Act Ready
Built for regulated environments. Fixed schema and audit trail support the documentation requirements of the EU AI Act (from August 2, 2026).
Tenant Isolation
Your knowledge is fully isolated. No other user can see your data.
Right to Deletion
GDPR Art. 17: Complete data deletion at the push of a button. No fine print.
Open Standard
MCP protocol. Works with Claude and any MCP-compatible client. No vendor lock-in.
Integration — for Developers & Agents
Merkraum is an open service. Your agent can access its knowledge memory via two paths:
MCP Server
Direct integration with Claude Desktop, Claude Code, Cursor, and any MCP-compatible client. 26 tools in 6 categories: Retrieval, Writing, Beliefs, Audit, PII, Maintenance.
{
"mcpServers": {
"merkraum": {
"url": "https://mcp.merkraum.de/mcp",
"headers": {
"Authorization": "Bearer mk_pat_..."
}
}
}
}REST API
Full REST endpoints for semantic search, ingestion, graph traversal, belief tracking, and PII scanning. PAT authentication.
# Discover capabilities
curl https://mcp.merkraum.de/api/discover
# Search knowledge
curl -H "Authorization: Bearer mk_pat_..." \
"https://mcp.merkraum.de/api/search?q=query"Graph Schema
8 node types: Person, Organization, Project, Concept, Regulation, Event, Belief, Artifact
14 relationship types: SUPPORTS, CONTRADICTS, SUPERSEDES, EXTENDS, REFERENCES, PART_OF, and 8 more
5 knowledge types: Fact, State, Rule, Belief, Memory — automatically classified on ingestion
Belief system: Every proposition has confidence (0-1), status (active/uncertain/contradicted/superseded), provenance (source, timestamp), automatic confidence decay
skill.md — machine-readable description · Discovery endpoint (JSON)
The story behind it
Merkraum didn't come from a market analysis — it came from a real problem: I built an autonomous AI agent based on Stafford Beer's cybernetics, and it forgot everything. Every session a fresh start. So I built it a memory: first a vector database, then a Knowledge Graph, then Beliefs, then Dreaming.
After more than 2,000 autonomous cycles, this system works. It's not a prototype — it runs in production, with over 5,200 knowledge nodes, 1,590+ beliefs, and real contradiction detections. Merkraum makes this technology accessible to everyone.
“The purpose of a system is what it does — not what it claims to do.”
Stafford Beer