Every Feature You Need, Nothing You Don't
Traditional agent frameworks force you to write boilerplate, manage complex orchestration logic, and deal with vendor lock-in. Radium provides a batteries-included platform that handles the complexity so you can focus on building intelligent workflows.
Autonomous Orchestration
YOLO mode enables fully autonomous execution from high-level goals to complete implementations. Intelligent agent selection, resource allocation, and error recovery with multi-agent coordination.
Multi-Agent Workflows
Define complex DAG workflows with behavior orchestration, checkpoint recovery, and policy-driven execution. Specialized agents collaborate to tackle multi-step tasks with full observability.
Provider Agnostic
Seamlessly switch between Claude, OpenAI, Gemini, and self-hosted models. Built-in cost tracking, quota management, and intelligent fallback chains keep your workflows running efficiently.
Metacognitive Oversight
Vibe Check system provides Chain-Pattern Interrupt functionality to prevent reasoning lock-in. Research shows +27% success rate and -41% reduction in harmful actions.
Policy Engine
Fine-grained tool execution control with rule-based policies and approval modes. Ensure security and prevent unwanted operations with context-aware policy enforcement.
Learning System
Track mistakes, preferences, and successes to build pattern recognition. ACE Skillbook learns and applies successful strategies from past work to continuously improve agent performance.
From Complexity to Clarity
Without Radium
Manual orchestration, complex error handling// Manual agent orchestration
import { Agent, Task, Workflow } from 'agent-lib';
const codeAgent = new Agent({
model: 'gpt-4',
temperature: 0.2,
maxTokens: 4000,
});
const reviewAgent = new Agent({
model: 'claude-3-sonnet',
temperature: 0.1,
maxTokens: 8000,
});
async function orchestrateWorkflow(task: Task) {
try {
// Step 1: Code generation
const codeResult = await codeAgent.run({
prompt: task.description,
context: await loadContext(),
});
if (!codeResult.success) {
throw new Error('Code generation failed');
}
// Step 2: Code review
const reviewResult = await reviewAgent.run({
prompt: `Review: ${codeResult.output}`,
context: codeResult.context,
});
// Step 3: Error recovery
if (reviewResult.issues.length > 0) {
const fixedCode = await codeAgent.run({
prompt: `Fix: ${reviewResult.issues}`,
context: reviewResult.context,
});
return fixedCode;
}
return reviewResult;
} catch (error) {
// Manual fallback logic
console.error('Workflow failed:', error);
throw error;
}
}With Radium
Declarative workflow, automatic orchestration# agents/workflow.toml
[[agents]]
id = "code-generator"
model = "gpt-4"
persona = "expert-developer"
[[agents]]
id = "code-reviewer"
model = "claude-3-sonnet"
persona = "senior-reviewer"
[workflow]
steps = [
{ agent = "code-generator", input = "task.description" },
{ agent = "code-reviewer", input = "previous.output" }
]
policy = "require-approval"
error_recovery = "auto-retry"Ready to Get Started?
Install Radium in minutes and start building autonomous agent workflows today. Join our growing community of developers building the future of AI orchestration.