Agents, not apps
EigenForge vs Dify
Dify is an open-source platform for building LLM applications with a visual workflow builder. EigenForge is purpose-built for autonomous AI agents. While Dify excels at building chatbots and RAG apps, EigenForge is designed for agents that take actions, use tools, and operate autonomously.
Why EigenForge
Agent-native architecture
EigenForge is built around the agent loop — observe, reason, act. Dify is built around workflows and chatbots with agent capabilities added on.
Advanced multi-agent support
Native orchestration for complex multi-agent systems. Dify's agent capabilities are more limited and workflow-centric.
Production agent tooling
Purpose-built evaluation, observability, and safety tools for agent systems. Dify's tooling is geared toward general LLM apps.
Scalable runtime
Run thousands of concurrent agents with auto-scaling. Dify is optimized for interactive chat, not background agent workloads.
Feature Comparison
| Feature | EigenForge | Dify |
|---|---|---|
| Primary focus | Autonomous agents | LLM applications |
| Agent support | First-class | Added feature |
| Multi-agent | Advanced orchestration | Limited |
| Workflow builder | Agent-centric | General-purpose |
| Background agents | Built-in | Not designed for |
| Evaluation | Agent-specific evals | Basic |
| Self-hosting | Cloud + self-hosted | Self-hosted |
| Pricing | Usage-based | Open source + enterprise |
The Verdict
Choose Dify if you're building chatbots, RAG apps, or simple LLM workflows. Choose EigenForge if you're building autonomous agents that need to take actions and operate at scale.
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