Stop re-explaining yourself to your assistant every conversation. AxiomSeal validates each memory through 15 truth tests, anchors them in mathematics, and ranks recall by ethical coherence — not just keyword similarity.
No credit card required
Projects
Quality
2,574 active · validated through 15 truth tests
AxiomSeal Telegram-Bot LIVE end-to-end
94% truthnew4 bugs gefixt: JWT-decode, X-Telegram-Bot-Api-Secret-Token forwarding, dao.create_memory(dict), webhook secret.
Beispielkundin · Maklerin Region
91% truthTermin am 14.05. um 14:00 zur Hausbesichtigung. Telefon-Nummer +41 79 ...
Sigma-Verifikation: Cryptographic memory integrity
97% truthEvery memory cryptographically signed via Sigma-hash. Tamper-detection automatic, verification continuous.
MultiBrain Routing: PC primary, Server fallback
88% truthCODE+SCHNELL → 192.168.1.100. Rest → Server only. ConnRefused triggert Failover.
9 months
single-founder engineering
5 tenants
paying in beta
26 tools
MCP-live, IDE-ready
Live in your IDE
Connect AxiomSeal to Claude Code, Cursor, Windsurf — any MCP-compatible tool. Every fact gets the same treatment: 15 truth tests, ethical coherence ranking, and cryptographic signatures via Sigma.
npx eon-memory init --tenant=your-idFive layers of consciousness
AxiomSeal stacks five operational layers — every memory passes through all of them before it can be recalled.
Episodic, semantic, procedural — three stores, one validated truth.
Recall what was true at any point in time.
Trakat-X mathematics by Patrick Müller — the moral grammar.
Cryptographic authorship signature — every memory chain-anchored.
Bewusstseins-Torus reranks recall by ethical resonance.
The difference
Generic AI throws away every conversation. AxiomSeal carries it forward — validated, time-aware, ranked by ethical coherence.
Generic AI assistant
no persistent memory
Was hatten wir letzte Woche zu Kundin K besprochen?
I don't have information about Kundin K or your previous conversations. Could you provide more context?
context window cleared · prior sessions lost
…ich muss alles nochmal erklären.
Outcome: re-explain context every conversation. Lost time. Wrong answers.
AI assistant + AxiomSeal
validated cross-session memory
Was hatten wir letzte Woche zu Kundin K besprochen?
Beispielkundin · Region Bern (Maklerin) — Termin am 14.05. um 14 Uhr zur Hausbesichtigung. Validiert mit truth_score=0.91.
memory #3625 · Tier=Philia · 1h ago
Perfekt, kannst du sie kurz daran erinnern?
Outcome: AI starts where you left off. Truth-validated. Coherent.
Ready to stop re-explaining? Start the 14-day trial·Read the docs
Features
AxiomSeal does not just store what your AI knows. It validates it.
Every memory passes 15 automated quality tests including hallucination detection and logical consistency checks before it is stored.
Find what you mean, not what you type. Vector-based search understands context and meaning across all your projects.
Connect via MCP Server to Claude Code, Cursor, or any MCP-compatible IDE. Your project context, always available.
Hosted in St. Gallen, Switzerland. Your data stays in Switzerland under Swiss privacy laws. GDPR compliant.
Semantic search returns results in under 50 milliseconds. Your AI assistant gets context instantly, every time.
Built on the Model Context Protocol. Works with Claude Code, Cursor, Windsurf, and every MCP-compatible tool.
Get Started
Create an account, choose a plan, and copy your API key from the dashboard.
Run npx eon-memory init in your project. It writes the MCP config and connects to your IDE automatically.
Every memory is stored with a quality score, GOLD/SILVER/BRONZE tier, and 15 truth-validation checks.
{ "mcpServers": { "eon-memory": { "type": "streamable-http", "url": "https://mcp.ai-developer.ch/mcp/", "headers": { "Authorization": "Bearer eon_YOUR_API_KEY" } } } }
AxiomSeal is the only AI memory system that runs automated validation on every piece of knowledge. Bad memories get flagged. Good memories get a quality score and tier.
React always re-renders all child components
Whenever a parent updates, all children re-render regardless of whether their props changed. This is always true and cannot be avoided.
Warnings
Suggestions
Other systems store. We validate.
Agent says X
→ Store X
→ Retrieve X
Hope it's true
Agent says X
→ Store X
→ Check later
Find errors after the fact
Agent says X
→ Validate X (15 tests)
→ Store with confidence
Hallucinations filtered before storage
| Feature | EON | Others |
|---|---|---|
| Validates before storing | ✓ | — |
| Hallucination detection | ✓ | — |
| Contradiction check | ✓ | — |
| Ethical alignment scoring | ✓ | — |
| Dogmatism detection | ✓ | — |
| Quality tiers (GOLD/SILVER/BRONZE) | ✓ | — |
| EU AI Act compliance | ✓ | — |
| MCP native (1 command setup) | ✓ | Partial |
Other AI systems follow guidelines written by committees. EON follows axioms that are impossible to deny — because denying them uses them.
Mathematically enforced
Every decision is scored against truth. Not by policy, but by mathematical gradient. Statements that violate the system's axioms are flagged before being stored.
Truth · Freedom · Justice · Service
Ethics quantified through four pillars, each derived from logical necessity. If any pillar is zero, the output is zero. Ethics is not optional — it is multiplicative.
Logically self-sealing
Denying the framework uses the framework. This is not circular logic — it is self-verification through presupposition. The logical foundation cannot be escaped — and the system actively enforces it.
How EON X-Ethics compares to “Responsible AI” programs
| Feature | Typical “Responsible AI” | EON X-Ethics |
|---|---|---|
| Ethical foundation | Corporate guidelines | Mathematical axioms |
| Stability over time | Subject to board decisions | Anchored in formal logic |
| Hallucination prevention | Post-hoc filtering | Pre-storage validation (15 tests) |
| Logical foundation | None — ethics-as-policy | Self-verification through formal logic |
| Jailbreak resistance | Patch after exploit | Pre-storage validation (15 tests, run before write) |
| Verifiability | Trust us | Open axiom-set + reproducible test suite |
Adjust the sliders to match your workflow. The numbers are conservative assumptions — your real savings are typically higher.
Conservative assumptions: ~12 min per context re-explain, ~25 min per hallucination-fix. Your numbers may be higher.
14 days free · No credit card required
Pricing
Start free, scale as you grow. All prices in CHF.
Try EON with no credit card
For individuals and small projects
For growing teams
For organisations with compliance needs
Direct answers — no marketing fluff. If something is missing, write to hello@ai-developer.ch.
Stop re-explaining your codebase every session. Give your AI a memory it can trust.
No credit card required