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Why GraphChain?
GRAPHCHAIN delivers distinct advantages in the competitive landscape
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Real-Time Sync
tRPC and Effector for type safety with WebSocket updates.
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Execution & Debugging
Concurrent flows with breakpoints and detailed logs.
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Modular Nodes
Build custom nodes with decorators and metadata. Multiple input/output ports integrate seamlessly into the flow builder for rapid workflow creation.
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Type-Safe Port System
Supports primitives and complex types with runtime validation (Zod, SuperJSON), plus lazy instantiation and caching.
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Visual Flow Editor
Graphical flow builder with React + XYFlow. Drag-and-drop interface, zoom/pan controls, resizing, menus, and live previews. Build complex agent workflows visually with mathematical precision.
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Docker Ready
Containerized deployment with MCP support.
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wl.GraphChain.AI
GraphChain empowers companies and projects accross web3/crypto to create real world applications, agents and solutions with a simple and intuitive interface.
Proprietary AI Framework - ChainGraph
ChainGraph is a visual orchestration framework for designing and deploying controllable AI agents in a low code to no code environment.
While other frameworks require programming expertise, ChainGraph provides a flow-based visual environment that bridges intuitive design with mathematical rigor, enabling complex agent behaviors through graphical composition.
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Core Components
ChainGraph's functionality is delivered through four integrated systems working in concert:
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Graph Editor: Sophisticated visual environment for AI behavior design with intuitive workflow.
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Knowledge System: Integrated vector-based knowledge management
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Execution Engine: High-performance runtime ensuring predictable operations across complex agent execution graphs.
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`Type System: Category Theory-based safety guarantees providing mathematical verification of system behaviors
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Key Features
ChainGraph delivers enterprise-grade capabilities through a sophisticated technical architecture that balances usability with computational power:
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Type-safe Port System implementing Zod validation for ensuring data integrity across complex workflows
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Visual Flow Editor constructed on React and XYFlow technologies for intuitive agent design without sacrificing functional depth
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Real-time Synchronization Infrastructure powered by TRPC and Effector enabling collaborative development environments
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Docker and Cloud Compatibility engineered to support enterprise deployment requirements across diverse infrastructures
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Extensible Node Ecosystem facilitating rapid functional expansion through well-defined interface contracts
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Team Collaboration Mode enabling concurrent development through synchronized state management
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Custom agents and Chaingraph in Action
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Integrations
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Chaingraph
Low-code visual environment where users can build multi-step reasoning system and connect external APIs to empower the AI Agent.
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GraphChain is the best agentic layer for machine economy.
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