The Simplest Way to Build the Smartest Agents
Write in English, deploy intelligent agents with multi-component brain architecture. They self-heal, adapt, and scale without breaking.
Multi-model brain prevents hallucinations, loops, and runaway costs.
Every developer knows the pain:
Burning through API credits with no results
Function calls that don't exist
Agents forgetting what they're doing
Days of orchestration that breaks on edge cases
Can't adapt to new situations
No control over token usage
You need agents with actual intelligence, not just language models.
Why they fail and what actually works
LLMs predict tokens based on statistical patterns. They don't understand causation, can't learn from mistakes, and errors compound exponentially.
Beyond neurosymbolic - true multi-component reasoning that actually learns:
Why neurosymbolic isn't enough & how Skymel goes beyond
Dynamic workflow generation from natural language
const agent = new SkymelAgent(
apiKey,
endpointUrl,
true,
"Customer Support Agent",
"Handle refunds and process invoices",
"Require approval for amounts > $500"
);const task = "Process refund for order #12345";
// Generate specialized workflow for THIS task
const workflowConfig = await agent.getAgenticWorkflowGraphJsonConfig(task);Multi-model brain creates custom execution plan:
const result = await agent.runAgenticWorkflow(workflowConfig);ECGraph handles:
Language understanding
Tool-use decisions
Prevent goal drift & enforce restrictions
Maintains context
// Create your agent with natural language
const agent = new SkymelAgent(
apiKey,
"wss://api.skymel.com/agent-creation",
true,
"Customer Support Agent",
"Handle refund requests and customer inquiries",
"Escalate issues over $500 to human agents"
);
// Generate workflow for specific task
const task = "Process refund for order #7829";
const workflow = await agent.getAgenticWorkflowGraphJsonConfig(task);
// Execute with monitoring
const result = await agent.runAgenticWorkflow(workflow);Working together for optimal results
Keep agents rooted in reality
Prevent goal drift and maintain focus
Improve from every execution
Simple JSON config - purpose, tools, constraints
One click to production - no code needed
Dynamic planning for each request
Learns from every execution
const supportAgent = {
"agent": "support_bot",
"purpose": "Resolve customer issues",
"constraints": {
"budget": "$2.00",
"require_human": "angry_customers"
},
"tools": ["crm", "knowledge_base", "ticketing"]
};Custom execution plan for each task - not rigid workflows
Detects and recovers from errors automatically
Not just LLMs - complete reasoning system
Gets smarter with every run
Monitoring, cost controls, step-level logs
Define what you want, not how to do it
npm install skymel-adk-js-betaimport {SkymelAgent} from "skymel-adk-js-beta";
const apiKey = "YOUR_API_KEY";
const endpointUrl = "https://skymel.com/websocket-dynamic-agent-generation-infer";const requestBody = {
apiKey: apiKey,
isWebSocket: true,
name: "Customer Support Agent",
definition: "Handle customer inquiries and resolve issues",
restrictions: "Always be polite, escalate complex issues",
mcpEnabled: true,
query: "Help customer with refund request"
};// Send request to generate workflow DAG
const response = await fetch(endpointUrl, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${apiKey}`
},
body: JSON.stringify(requestBody)
});
const workflow = await response.json();
console.log("Workflow generated:", workflow);After 250: $0.10 per workflow • First month FREE agent execution!
Then pay-as-you-go for execution costs
After 10,000: $0.05 per workflow • First month FREE agent execution!
Then pay-as-you-go for execution costs
Volume discounts available
Skymel provides executing agents, not a framework. No orchestration code needed.
Simple monthly subscription + usage-based pricing after included workflows + workflow execution cost pass-through. No hidden fees.
Enterprise plans include on-premise deployment options with full support.
Ship your first intelligent agent today.
No orchestration code. Just config.
// Get started in seconds
const agent = await skymel.deploy({
agent: "my_agent",
purpose: "Help users",
tools: ["web", "email"]
});