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Comparison
Lindy excels at building individual AI agents for specific tasks. AACFlow provides a unified platform for all your AI workflows — one infrastructure, one pricing model, one developer experience.
| Feature | AACFlow | Lindy |
|---|---|---|
| AI Integration | Multi-agent orchestration, 15+ LLM providers, custom tool development | Task-specific AI agents with limited multi-agent coordination |
| Pricing | Transparent compute-based pricing; all features included | Per-agent pricing; costs multiply as you add more agents |
| Ease of Use | Visual builder + TypeScript SDK with enterprise onboarding | Conversational agent setup; limited visual workflow control |
| Scalability | Enterprise auto-scaling with 99.99% uptime SLA | Cloud-hosted; enterprise scalability unproven at high volume |
| Support | Dedicated enterprise support with SLA guarantees | Email and community support; no enterprise SLA |
| Open Source | Fully managed cloud platform with extensible APIs | Closed-source platform |
AACFlow manages all your AI workflows on one platform with shared infrastructure, pricing, and governance — not separate agents each with their own context and cost.
SOC 2 Type II, SSO, RBAC, and audit trails built into every plan. Not a consumer tool trying to scale to enterprise use cases.
TypeScript and Python SDKs, Git integration, CI/CD pipelines, and local testing — the complete developer experience Lindy doesn't provide.
AACFlow maps your individual Lindy agents to a unified workflow architecture. Run all your AI automations on one infrastructure with one pricing model.
Unified, enterprise-ready, developer-friendly. Start free.