Agno
Lightweight agent framework for building multi-agent systems and memory.
About this tool
Best for
Building multi-agent systems, multimodal workflows, and high-performance AI agents.
Key Features
- Lightweight Python agent framework optimized for speed and memory efficiency
- Support for multi-agent teams with task delegation and shared context
- Built-in vector database connectors and persistent agent memory
- Cloud platform for agent monitoring, telemetry, and execution logs
Pricing summary
Agno offers a free open-source framework alongside paid cloud tiers starting at $20/month for advanced monitoring, telemetry, and team collaboration.
Pricing Plans
Community
Open-source framework for building local agents.
- Open-source framework
- Unlimited local agents
- Basic memory integration
- Community support
Pro
Cloud platform for agent monitoring and telemetry.
- Cloud monitoring dashboard
- Advanced agent telemetry
- Team collaboration
- Priority execution
Enterprise
Dedicated cloud infrastructure and security controls.
- Custom deployment
- SLA guarantees
- Dedicated support
- Advanced security controls
Other pricing notes
- Pricing checked on 2026-07-31 from the official Agno website.
- The core Python agent framework is free to use locally.
- Cloud platform tiers charge for hosted monitoring, analytics, and team seats.
Pros & Cons
Pros
- High execution speed compared to heavier agent frameworks
- Clean API design for defining specialized multi-agent teams
- Supports multimodal inputs including image, audio, and video
- Offers both open-source library and cloud management tools
- Built-in memory and state management for persistent sessions
Cons
- Advanced enterprise monitoring features require paid cloud plans
- Developer effort required to tune prompt prompts and agent handoffs
- API changes can occur as the framework expands functionality
- Token costs rise when running complex multi-agent conversations
- Requires Python proficiency for custom agent pipeline development
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