Build Agentic AI Workflows That Think and Act
Design autonomous AI workflows that reason, plan, and execute complex tasks. From simple automations to sophisticated multi-agent systems with built-in evaluation, tracing, and enterprise reliability.
A Rapidly Growing Node Ecosystem
Every workflow capability you need, from AI agents to data transformations, ready to drag and drop
Autonomous AI Agents
Deploy ReAct agents, function-calling agents, RAG agents, and multi-agent supervisor patterns. Agents that reason, plan, use tools, and achieve goals autonomously.
Sophisticated Control Flow
Conditional logic, loops, parallel execution, sub-graph maps, and hierarchical workflows. Build complex orchestrations that handle any business process at scale.
Data Transformations
JSON transformers, text parsers, data mappers, aggregators, and custom Python/JavaScript transforms. Shape data exactly how your workflows need it.
Source & Destination Nodes
Connect to databases, APIs, cloud storage, SaaS applications, and more. Pull data from anywhere, push results everywhere your business needs.
Memory & Context
Semantic memory, conversation history, vector stores, and persistent state. Give your agents long-term memory and contextual awareness across executions.
Event-Driven Triggers
Webhooks, schedules, email triggers, message queues, and custom events. Launch workflows automatically when business events occur across your systems.
Execution Tracing & Waterfall Charts
See exactly what happens inside every workflow execution. Hierarchical span tracing shows every LLM call, tool execution, and agent decision with precise timing and data.
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Hierarchical Span Tracing
Parent-child spans reveal agent reasoning steps, tool calls, and nested operations in a visual waterfall chart.
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Real-Time Execution Monitoring
Watch workflows execute live with streaming updates. Identify bottlenecks and debug issues as they happen.
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Metrics Collection
Track token usage, latency, success rates, and custom metrics. Aggregate across traces for performance analysis.
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Execution Comparison
Compare multiple executions side-by-side. Analyze metric differences across runs to optimize performance.
Built-In AI Evaluation & Quality Assessment
Evaluate AI outputs directly in your workflows. LLM-as-Judge, RAG metrics, hallucination detection, and pairwise comparison nodes ensure quality at every step.
LLM as Judge
Configurable multi-criteria evaluation with chain-of-thought reasoning.
Relevance Grader
Evaluate if retrieved documents are relevant to queries.
Faithfulness Checker
Detect hallucinations by verifying context grounding.
RAG Metrics
Context precision, recall, faithfulness, and relevancy.
Answer Quality
Multi-dimensional quality scoring with weighted dimensions.
Pairwise Comparator
A/B test responses with position-bias mitigation.
Create Custom Nodes for Any Use Case
Extend the platform with your own logic. Build once, reuse across all your workflows.
Python-Powered Nodes
Write custom node logic in Python with full access to the BaseNode API for caching, state management, metrics logging, child span tracing, and connected node communication.
MCP Server Integration
Wrap MCP (Model Context Protocol) servers as workflow nodes. Give your agents access to any tools through the standardized MCP interface.
Marketplace Ready
Package your custom nodes for team sharing or publish to the Strongly.AI marketplace. Complete with versioning, documentation, and dependency management.
Integrated with the Strongly Platform
Workflows connect seamlessly to every part of your AI infrastructure
AI Gateway
Access 87+ self-hosted models and all major providers through unified APIs with built-in guardrails.
Data Sources
Connect to PostgreSQL, MongoDB, S3, APIs, and more. Pull data directly into your workflows.
Add-ons
Managed Redis, PostgreSQL, MongoDB, and Qdrant. Spin up infrastructure in seconds.
ML Models
Deploy custom ML models and use them as workflow nodes. Full MLOps integration.
Enterprise-Ready from Day One
Production-grade reliability for mission-critical AI workflows
Visual Simplicity, Code Power
Drag-and-drop for speed, custom code when you need it. Both business users and engineers work in the same platform.
Built-In Error Handling
Automatic retries, failover mechanisms, dead-letter queues, and graceful degradation. Workflows recover from failures automatically.
Complete Auditability
Every execution is traced and logged. Meet compliance requirements with full audit trails of AI decisions and data access.
Ready to Build Intelligent Workflows?
See how leading enterprises are automating complex processes with agentic AI