BlitzGraph
BlitzGraph is an AI-native backend that models reality in graphs, enabling agents to compose typed JSON queries without SQL or ORMs.
BlitzGraph
What is BlitzGraph?
BlitzGraph vs Similar AI Tools
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How to use BlitzGraph?
- 1Sign up with GitHub or email.
- 2Create your schema using the dashboard or API.
- 3Define entities with multiple kinds and relationships.
- 4Query data using BQL (typed JSON queries).
- 5Connect from Claude or Codex via MCP server.
- 6Integrate into your applications using the API.
BlitzGraph Key Features
- Multi-kind entities
- Bidirectional relationships
- Typed JSON queries (BQL)
- Rich content types
- Referential integrity
- Built-in full-text search (BM25)
- Smart transactions
- Business logic in the database
- Agent sandboxes
BlitzGraph Use Cases
- AI agent backends
- Applications requiring polymorphic data models
- Real-time data with complex relationships
- Agent memory and session management
- Backends for LLM-powered apps
BlitzGraph Pricing & Free Credits
BlitzGraph currently operates on a Free, Freemium model.
This tool is completely free to use
BlitzGraph Pros & Cons
Pros
- Multi-kind entities eliminate role tables and migrations
- Bidirectional relationships with O(1) reverse lookup
- Agent-composable typed JSON queries
- Built-in full-text search without external services
- Business logic in the schema reduces middleware complexity
Cons
- No built-in realtime / live queries
- Early stage with limited community and ecosystem
- Not yet proven in large production environments
What is BlitzGraph best for?
- AI agent developers
- Startups building complex backends
- Projects requiring graph data models
- Developers seeking agent-friendly APIs
BlitzGraph FAQ
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