AI That Takes Action, Not Just Talks
Autonomous agents with tool calling, decision-making, and multi-step workflows. AI that executes, not just suggests.
How AI Agents Work
The tool-calling loop: AI thinks, requests tools, gets results, and iterates until the task is complete.
AI analyzes the task and determines which tools to use
Executes HTTP, database, email, or custom tools
Loops up to 5 times until the task is complete
Agent Capabilities
Everything your AI agents need to work autonomously. From tool calling to multi-step reasoning.
Tool Calling
AI requests tools, workflow executes them, returns results. Up to 5 iterations per request.
Conversation Memory
Session-based context that persists across interactions. Build coherent multi-turn conversations.
Multi-Step Reasoning
Complex problem-solving with branching logic. AI decides which path to take based on intermediate results.
Dynamic Output Parsing
Parse AI responses as JSON, XML, Markdown, or custom regex patterns. Structured data ready for downstream use.
Autonomous Decisions
AI decides which tools to call and when. Human oversight with configurable guardrails.
AI Agents in Action
Real-world agent examples that solve complex problems autonomously.
Customer Support Agent
Autonomous support agent that resolves tickets by accessing knowledge bases, CRM data, and sending responses.
Traditional AI vs Agentic AI
The difference between AI that talks and AI that takes action.
Traditional AI
Chat-based responses
You implement the suggestion
Agentic AI
Autonomous execution
AI executes autonomously
Seamless Workflow Integration
AI Agent nodes work alongside all other DartChain nodes. Build complete automation pipelines with agentic AI at the core.
Output Formats
Provider Support
Tool Types
Ready to Build Your First AI Agent?
Start building autonomous AI workflows today. Full control, complete privacy, enterprise-grade security.
Enterprise-grade security and compliance