Every Feature You Need
Radium provides a comprehensive platform for building, deploying, and managing multi-agent workflows. From intelligent orchestration to fine-grained security controls, every feature is designed for production use.
Powerful tools for building and managing complex multi-agent workflows
Intelligent Orchestration
Radium automatically selects the best agent for each task based on capabilities, cost, and performance. No manual routing required—the orchestrator handles agent selection using policy-driven decision making.
[orchestration]
policy = "cost-optimized" # or "speed-first", "quality-first"
fallback_strategy = "graceful-degradation"
[agent_selection]
prefer_local = true
max_cost_per_call = 0.10
timeout = 30Multi-Agent DAG Workflows
Define complex workflows as directed acyclic graphs (DAGs) with multiple agents working in parallel or sequence. Built-in dependency resolution, automatic retries, and failure handling ensure reliable execution.
[[workflow.steps]]
id = "analyze"
agent = "code-analyzer"
input = "task.description"
[[workflow.steps]]
id = "generate"
agent = "code-generator"
depends_on = ["analyze"]
[[workflow.steps]]
id = "review"
agent = "code-reviewer"
depends_on = ["generate"]
parallel = ["security-scan"]Autonomous Execution (YOLO Mode)
Enable agents to run autonomously with minimal human intervention. Agents can make decisions, execute tasks, and handle errors independently. Perfect for long-running tasks or trusted environments.
# Enable autonomous mode
radium-cli chat code-assistant --mode autonomous
# Set execution policy
radium-cli config set execution.mode autonomous
radium-cli config set execution.require_approval false
# Run with bounded autonomy
radium-cli chat code-assistant \
--mode autonomous \
--max-iterations 10 \
--budget 5.00How Radium Compares
See how Radium stacks up against popular agent frameworks
| Feature | Radium | LangChain | AutoGPT | CrewAI |
|---|---|---|---|---|
Multi-Agent Orchestration Coordinate multiple agents in complex workflows | ✓ | ~ | ~ | ✓ |
Policy Engine Fine-grained control over agent behavior | ✓ | × | × | × |
Self-Hosted Models Run models locally with Ollama | ✓ | ✓ | ~ | ~ |
DAG Workflows Define complex dependencies between tasks | ✓ | ~ | × | ~ |
Cost Tracking Built-in cost monitoring and budgets | ✓ | ~ | × | × |
TOML Configuration Declarative, code-free agent setup | ✓ | × | × | ~ |
Multiple Interfaces CLI, TUI, and Desktop app included | ✓ | × | × | × |
Vibe Check Oversight Metacognitive monitoring of agent behavior | ✓ | × | × | × |
✓Full Support
~Partial Support
×Not Supported
Ready to Explore?
Try Radium's features yourself or explore our comprehensive documentation to learn more about building autonomous agent workflows.