Agno vs Lindy.ai
Side-by-side comparison of two agent options that often come up together when people are choosing between self-hosted frameworks, managed assistants, and extensible AI tooling.
Open source40k stars
Agno
High-performance multi-agent framework — build, run and manage teams of AI agents at scale
Closed sourceN/A stars
Lindy.ai
Enterprise productivity assistant with 4,000+ integrations
Category
Agno
Lindy.ai
Tagline
High-performance multi-agent framework — build, run and manage teams of AI agents at scale
Enterprise productivity assistant with 4,000+ integrations
Deployment
Self-hosted / Agno Cloud
Managed SaaS
Pricing
Open source and free to self-host. Agno Cloud available for managed deployments.
Mid-tier paid pricing that fits regular professional use better than hobby use.
Channels
Web, api, CLI
iMessage, SMS, Email, Web
Open source
Yes
No
Privacy
Self-hosted deployments keep data on your infrastructure.
Some privacy controls exist, but vendor-hosted infrastructure still handles a meaningful share of the data flow.
Agno pros
- Extremely fast — benchmarks show 3x LangGraph speed.
- Native multi-agent team support built-in.
- Strong memory architecture with multiple storage backends.
Lindy.ai pros
- Security posture is strong for sensitive workflows.
- Extensible enough for custom tools, plugins, or workflow glue.
- Good memory and persistence support for ongoing conversations or tasks.
Agno cons
- Developer-focused — no visual builder.
- Ecosystem smaller than LangChain/LangGraph.
- Requires Python knowledge.
Lindy.ai cons
- No modern chat apps (no Telegram, WhatsApp, Discord, Slack)
- Lower privacy score — data processed on their servers
- Closed source with mid-tier pricing
Agno gotchas
- Formerly called Phidata — old docs may use old name.
- Start with single agent before multi-agent orchestration.
Lindy.ai gotchas
- Recurring subscription or model spend can matter more than the headline feature list.
Not sure which one fits you?
Take the two-minute quiz and let the app rank these options against your channels, privacy requirements, deployment comfort, and budget.