| What it does | PostgreSQL access control plane for teams and AI coding agents
| Knowledge graphs built and kept up to date automatically
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| Stage | Not given
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| Key features | - Scoped permissions per person and coding client
- Audit trail with full context and decisions
- Support for Codex, Claude Code, and Cursor coding clients
- Server-side encrypted database credentials
- Write preview showing SQL, scope, policy and impact
- Liquibase integration for schema migrations
- Private network support for non-public databases
- Two-step verification with authenticator and recovery codes
| - Automatic extraction and modeling from documents and system exports
- Source attribution on every fact with supporting text and confidence values
- EU-hosted or on-premises deployment
- Multi-hop query support for complex relationships
- RDF-based ontology with OWL 2 RL profile
- API and MCP access for AI agents
- Continuous graph updates and duplicate resolution
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| What makes it different | - Every coding client has a human owner whose permissions cannot be exceeded
- Write approval cannot be circumvented by the agent proposing the change
- Database passwords never reach the browser or coding client
- Full audit context attached to every database action
| - Sourced, auditable facts for AI agents and people to verify before use
- Handles multi-hop questions and audit trails better than RAG alone
- Automatic infrastructure for knowledge graph building without manual pipeline setup
- Persistent knowledge graph with standard RDF/OWL exports for interoperability
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 2 ● no change since last check |
| Trust Flow (Majestic) | 4 | 6 |
| Citation Flow (Majestic) | 19 | 15 |
| Referring domains (Majestic) | 40 | 7 |