Agno vs Manus 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 source23k stars
Manus AI
Premium managed autonomous AI agent (acquired by Meta, Dec 2025)
Category
Agno
Manus AI
Tagline
High-performance multi-agent framework — build, run and manage teams of AI agents at scale
Premium managed autonomous AI agent (acquired by Meta, Dec 2025)
Deployment
Self-hosted / Agno Cloud
Managed SaaS
Pricing
Open source and free to self-host. Agno Cloud available for managed deployments.
Premium pricing aimed at power users who value convenience over cost efficiency.
Channels
Web, api, CLI
Web, Telegram
Open source
Yes
No
Privacy
Self-hosted deployments keep data on your infrastructure.
Most usage data runs through a managed vendor environment, so privacy control is limited.
Agno pros
- Extremely fast — benchmarks show 3x LangGraph speed.
- Native multi-agent team support built-in.
- Strong memory architecture with multiple storage backends.
Manus AI pros
- Good memory and persistence support for ongoing conversations or tasks.
- Can handle meaningful autonomous work instead of acting only as a reactive chatbot.
- Large community footprint reduces the chance of adopting a dead-end project.
Agno cons
- Developer-focused — no visual builder.
- Ecosystem smaller than LangChain/LangGraph.
- Requires Python knowledge.
Manus AI cons
- Premium pricing ($79+/month)
- Closed source — no self-hosting option
- Limited channels (web + Telegram only)
Agno gotchas
- Formerly called Phidata — old docs may use old name.
- Start with single agent before multi-agent orchestration.
Manus 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.