Agno vs Poke
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
Poke
Consumer-friendly proactive AI assistant via iMessage/SMS/Telegram
Category
Agno
Poke
Tagline
High-performance multi-agent framework — build, run and manage teams of AI agents at scale
Consumer-friendly proactive AI assistant via iMessage/SMS/Telegram
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, WhatsApp, Email
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.
Poke pros
- Can handle meaningful autonomous work instead of acting only as a reactive chatbot.
Agno cons
- Developer-focused — no visual builder.
- Ecosystem smaller than LangChain/LangGraph.
- Requires Python knowledge.
Poke cons
- Closed-source offering, so portability and vendor transparency are limited.
- Privacy controls are limited compared to self-hosted alternatives.
Agno gotchas
- Formerly called Phidata — old docs may use old name.
- Start with single agent before multi-agent orchestration.
Poke gotchas
- Recurring subscription or model spend can matter more than the headline feature list.
Not sure which one fits you?
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