Tool A
Agno
High-performance multimodal AI agent framework with native memory and speed
Tool B
Relevance AI
Build and deploy custom AI agents and workflows
Choose this if…
Agno
- 1You need Open Source
- 2You need Works Offline
- 3You need Voice Input
- 4Community rates it higher (⭐4.9 vs 4.7)
Choose this if…
Relevance AI
- 1You need White Label
Overview
Agno (formerly Phidata) is a lightweight, ultra-fast Python framework engineered for building production-grade autonomous multi-agent systems with native memory, knowledge retrieval, and multimodal reasoning capabilities. It is designed to replace bloated agent frameworks with a pure, pythonic developer experience. Agno agents operate up to 10x faster than legacy orchestration libraries by eliminating unnecessary abstractions. With built-in support for vector databases (PgVector, Qdrant, Pinecone), structured output schemas, and agent-to-agent delegating protocols, developers can build complex autonomous assistants with under 20 lines of clean code.
The framework includes first-class multimodal tools allowing agents to analyze images, process video streams, execute code in secure sandboxes, and query SQL databases. Agno agents natively persist session state and user memory in PostgreSQL, making stateful conversations effortless across web sessions. Agno is fully open-source with extensive documentation, offering enterprise-ready middleware for authentication, telemetry, and rate limiting.
Relevance AI is a platform designed to create AI workforces by combining LLM agents, tasks, and data pipelines. It provides an intuitive low-code workspace to build autonomous agents that execute multi-step operations.
Established in Sydney, Australia, Relevance AI supports multiple foundation models and complex state management features.
Features Comparison
22 totalPricing & Plans
100% free open-source framework with unlimited local agent execution
Agno Cloud from $29/mo for managed agent deployment, monitoring, and team workspaces
Free plan includes 100 credits per month to test agents.
Team plans start at $19/mo up to custom enterprise tiers.
Pros & Cons
Pros
Up to 10x faster execution speed compared to legacy agent libraries
Clean, pythonic syntax with zero unnecessary framework bloat
Native multimodal support for images, video, and audio reasoning
Built-in PostgreSQL memory persistence and vector RAG integration
Completely open source with active developer community
Cons
Primary ecosystem focused on Python (TypeScript SDK in early development)
Migration required for legacy Phidata v1 codebases
Pros
Powerful low-code visual configuration workspace
Extensive multi-agent execution pipeline loops
Seamless dataset handling and indexing controls
Cons
Credit usage mapping can be complex to monitor closely
Use Cases
The Verdict
Agno
18/22 features · ⭐4.9
Agno (formerly Phidata) is a lightweight, ultra-fast Python framework engineered for building production-grade autonomous multi-agent systems with native memory…
Relevance AI
12/22 features · ⭐4.7
Relevance AI is a platform designed to create AI workforces by combining LLM agents, tasks, and data pipelines. It provides an intuitive low-code workspace to b…
Both Agno and Relevance AI are capable AI tools serving distinct use cases. Agno leads on raw feature breadth (18 vs 12), making it a stronger choice if you need maximum capability.
Frequently Asked Questions
What is the main difference between Agno and Relevance AI?
Agno — "High-performance multimodal AI agent framework with native memory and speed" — focuses on agent-ai, code-ai, while Relevance AI — "Build and deploy custom AI agents and workflows" — targets automation-ai, agent-ai. The key differences lie in their feature sets and pricing models.
Is Agno free to use?
Yes, Agno offers a free tier. 100% free open-source framework with unlimited local agent execution
Is Relevance AI free to use?
Yes, Relevance AI offers a free tier. Free plan includes 100 credits per month to test agents.
Which is better: Agno or Relevance AI?
It depends on your use case. Agno is rated ⭐4.9 and is best suited for developers, ai-engineers, data-scientists, startups. Relevance AI is rated ⭐4.7 and is ideal for teams, developers, individuals. Use this comparison to evaluate features that matter to your workflow.
Does Agno have an API?
Yes, Agno provides API access for developers and integrations.
More AI Matchups
Still deciding?
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