Creator Agent
Generates new agent versions, tools and policies from observed performance gaps.
L7 · Recursive layer
Pillar 04 · Recursive Intelligence Assurance
When AI improves AI, governance must become recursive.
A self-improving system tests itself, deploys itself and repeats. Mindgraph inserts a trust layer into that loop — security, compliance and governance validation with human approval and risk certification on every iteration.
- Layer
- L7 · above the ontology
- Registry
- Agent lineage
- Identity
- AI Passport
- Gate
- Human approval
The recursive loop
Every output becomes an input, an evidence record and a governance decision.
Today governance is linear: build, deploy, monitor. Tomorrow it is a closed loop — build, deploy, monitor, improve, validate, re-certify, deploy again. The assurance layer must sit inside the loop, not at the end of it.
- Security validation
- Compliance validation
- Governance validation
- Human approval
- Risk certification
- Lineage record
Trajectory
From AI Assurance to superintelligence governance.
2025 – 2030
AI Assurance
Challenge — AI adoption
“Can we trust AI?”
2030 – 2035
Recursive Intelligence Assurance
Challenge — Recursive intelligence
“Can AI safely improve AI?”
2035 +
Superintelligence Governance
Challenge — Superintelligence
“Can humanity govern intelligence greater than itself?”
L7 · Recursive intelligence layer
Agents that govern the agents.
Evaluator Agent
Scores every proposed version against the certified baseline before promotion is considered.
L7 · Recursive layer
Auditor Agent
Reconstructs the full lineage of a change: what mutated, why, and on whose evidence.
L7 · Recursive layer
Governor Agent
Applies policy, risk appetite and human approval gates to every recursive step.
L7 · Recursive layer
Recursive Intelligence Registry
Agent lineage, parent–child relationships, changes, risk history and certification history — a version-controlled record of AI evolution. Every module connects through the Registry so that no recursive step happens off the books.
The AI genome
Every intelligent system should have a verifiable identity.
The AI Passport carries origin, training source, model version, agent version, risk profile, compliance status and performance history. The AI DNA records mutation, evolution, inheritance and certification across generations.
AI Passport
- Origin
- Training source
- Model version
- Agent version
- Risk profile
- Compliance status
- Performance history
AI DNA
- Mutation
- Evolution
- Inheritance
- Certification
Positioning
Others build intelligence. Others build safe intelligence. Others build superintelligence.
Mindgraph governs intelligence.
Intelligence layer · Agent layer · Recursive layer · Governance layer · Human layer
Next steps
Bring your hardest AI system. We will assure it.
Technical deep-dive on your live agents, an 8–12 week pilot with agreed success metrics, and partnership or investment conversations.