Semantic
Graphs.ai
Build smarter and reliable AI driven software with event-driven graphs that never fails
Features
Event-Driven Workflow Orchestration
Workflow execution is driven by events such as signals, activity completions, and external messages, enabling reactive, loosely coupled, and highly responsive process coordination.
Modeling of Complex, Non-Linear Workflows
Workflows are represented as graphs rather than linear sequences, supporting branching, conditional paths, parallel execution, joins, and dynamic routing based on runtime data.
Durable and Stateful Execution
Workflow state and decisions are durably persisted, allowing long-running processes to survive crashes, restarts, and deployments while resuming execution exactly where they left off.
Reliability Through Deterministic Execution
Deterministic replay guarantees exactly-once workflow semantics, preventing duplicate state transitions and ensuring consistent behavior even in the presence of retries or failures.
Resilience to Failures and External Dependencies
Failures are isolated at the node level with built-in retry, timeout, and fallback mechanisms, ensuring that transient or partial failures do not compromise the entire workflow.
Scalable Parallel and Asynchronous Processing
Independent workflow paths execute concurrently without blocking, enabling efficient resource utilization and scalable execution of complex distributed workflows.
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