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UiPath CoE Leaders Solution Architects Automation Developers AI/ML Engineers Business Process Owners exploring Agentic Automation UiPath has been rapidly expanding its Agentic Automation capabilities — moving beyond classic RPA into autonomous agents that combine:
At the center of this evolution: UiPath Coded Agents. This article is your complete practical guide — explaining what Coded Agents are, when to use them, how to build them, and why they matter.
A Coded Agent is: A fully programmable, AI-powered agent written in Python or Node.js Hosted, governed, monitored inside the UiPath Automation Cloud Directly integrated into UiPath’s platform (context, governance, security, toolsets)
“Bring your own advanced AI logic — while letting UiPath handle orchestration, security, deployment, and governance.”
Capability
Traditional RPA
Agent Builder
Coded Agents
Use Cases Standard Automation Simple AI Agents Advanced AI Agents
Coded Agents are one pillar of UiPath’s agent ecosystem:
Complex reasoning loops Custom memory structures Multiple LLM integrations Advanced planning & decision trees Dynamic tool discovery (MCP integration)
Business Problem: Customer sends refund requests via email → agent autonomously validates → triggers refund → sends confirmation.
python CopyEdit from uipath_agents_sdk import Agent, Tool class RefundAgent(Agent): def __init__(self): super().__init__() self.register_tool(Tool(, description="Refund customer via Stripe", input_schema={"transaction_id": "string", "reason": "string"}, function=self.refund_transaction )) def refund_transaction(self, transaction_id, reason): stripe_mcp_client = StripeMCP(server_url, api_key) return stripe_mcp_client.refund(transaction_id, reason) def on_message(self, message): intent = self.llm.classify(message, labels=["refund", "payment", "other"]) if intent == "refund": transaction_id = extract_transaction_id(message) reason = extract_reason(message) return self.invoke_tool("refundTransaction", transaction_id, reason) return "No action required."
Governance Full security, credential management, RBAC via UiPath Scalability Build once — reuse everywhere inside platform Observability Native logging, monitoring & troubleshooting Tool Expansion Leverage MCP + Tooling dynamically Hybrid AI Use multiple AI models for different reasoning tasks
The UiPath Documentation Portal - the home of all our valuable information. Find here everything you need to guide you in your automation journey in the UiPath ecosystem, from complex installation guides to quick tutorials, to practical business... Common Issues To Watch: Tool registration errors API key management via UiPath Key Vault LLM response parsing Schema mismatches Memory overflow in long-running tasks
UiPath Coded Agents will power: Autonomous automation flows Self-healing agentic workflows Multi-agent orchestration (in combination with Maestro BPMN) Real-time LLM decisioning AI-powered process augmentation (human-in-the-loop + autonomous)
Coded Agents = Full control over AI reasoning, with UiPath governance.
Have you started exploring UiPath Coded Agents? What use cases are you building?
UiPath #CodedAgents #AgenticAutomation llm #EnterpriseAI #AutomationCloud mcp tools #UiPathAgents #AutonomousAutomation python langchain #EnterpriseAutomation coe governance (责任编辑：) |
