From research to production
EigenForge vs AutoGen
AutoGen is Microsoft's open-source framework for building multi-agent conversations. EigenForge is a production platform for deploying and managing AI agents at scale. While AutoGen pioneered conversational multi-agent patterns, EigenForge provides the full production stack for real-world deployments.
Why EigenForge
Production-first design
EigenForge is built for production from day one — not a research framework adapted for production use. Every feature is designed for reliability at scale.
Visual agent design
Build agents visually with Agent Forge. AutoGen requires Python coding for all agent configuration.
Managed infrastructure
Deploy and scale without managing servers. AutoGen runs wherever you deploy it, but that's on you.
Cost management
Built-in cost tracking and optimization per agent. AutoGen conversations can spiral in cost without guardrails.
Feature Comparison
| Feature | EigenForge | AutoGen |
|---|---|---|
| Design philosophy | Production platform | Research framework |
| Agent builder | Visual + code | Python code |
| Conversation control | Structured workflows | Free-form conversations |
| Deployment | Managed cloud | Self-managed |
| Cost controls | Built-in budgets + tracking | Manual |
| Evaluation | Built-in | Not included |
| Observability | Full traces | Basic logging |
| Pricing | Usage-based | Open source |
The Verdict
Choose AutoGen if you're doing research on multi-agent conversation patterns. Choose EigenForge if you need to deploy reliable agent systems that your business depends on.
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