AI Tool Comparison
Agno vs Relevance AI
A side-by-side breakdown to help you pick the right tool for your workflow.
Agno
Build multi-modal agents in plain Python: text, image, audio, and video inputs handled natively. Agno's tool library and memory system handle the infrastructure.
Relevance AI
Build and deploy AI agents that run your business workflows, no code required. Connect to your CRM, email, and databases with a visual builder and ship in minutes.
Bottom Line
Last reviewed: August 2026
Agno and Relevance AI both compete in Agents, overlapping most directly on automation. Agno runs on a fully free plan while Relevance AI runs on a freemium model, which alone may settle it if budget or a free tier is a hard requirement. Both carry the same 4.4 rating, so the decision comes down to fit, not quality.
Choose Agno if…
Best for python developers building agents that need to reason over images, audio, and video, not just text, and its edge is multi-modal by default, no special handling required for non-text inputs, unlike most agent frameworks. A genuinely readable, Pythonic way to build multi-modal agents, there's no TypeScript SDK if that's your stack.
Choose Relevance AI if…
Best for non-technical teams who want to build and deploy AI agents without engineering resources, and its edge is pre-built agent templates for sales research and lead enrichment get you to working automation in under an hour. A strong no-code entry point into agents, the visual builder limits how complex your conditional logic can get.
| Attribute | Agno | Relevance AI |
|---|---|---|
| Category | Agents | Agents |
| Pricing | free | freemium |
| Pricing Detail | Open source / Free (Agno Cloud in beta) | Free trial / $19/mo Starter / $149/mo Team |
| Rating |
Key Features
Agno
- Multi-modal agents with native text, image, audio, and video reasoning
- Plain Python class definitions, no framework-specific DSL
- 30+ built-in tools: web search, SQL, file ops, APIs
- Pluggable memory backends including PostgreSQL, MongoDB, and SQLite
- Agent Teams for orchestrating multiple specialized sub-agents
- Structured output support via Pydantic models
Relevance AI
- Visual no-code agent builder with drag-and-drop tool connections
- Pre-built agent templates for sales, marketing, and support
- Multi-agent teams that delegate tasks between specialized agents
- Integrations with HubSpot, Salesforce, Slack, Gmail, and 50+ tools
- Human approval steps for sensitive actions before execution
- Agent performance analytics and run history
Pros
Agno
- •Multi-modal by default: no special handling for image or audio inputs
- •Pythonic API makes agents readable to anyone who knows Python
- •Built-in tool library means less boilerplate for common tasks
Relevance AI
- •Non-technical teams can build and ship agents without engineering help
- •Pre-built templates get you to working automation in under an hour
- •Multi-agent teams handle complex multi-step workflows reliably
Cons
Agno
- Python-only: no TypeScript SDK unlike some competitors
- Cloud observability platform is still early-stage
- Less community content than LangChain or CrewAI at the same maturity
Relevance AI
- Visual builder limits customization for complex conditional logic
- Pricing scales per agent run, high-volume workloads need cost monitoring
- Fewer integrations than Zapier for non-AI automation needs