Tool A
Bolt.new
Prompt, run, and deploy full-stack apps
Tool B
Agno
High-performance multimodal AI agent framework with native memory and speed
Choose this if…
Bolt.new
- 1Bolt.new fits your category use case
- 2You prefer their ecosystem & integrations
Choose this if…
Agno
- 1You need Works Offline
- 2You need Multimodal
- 3You need Voice Input
- 4Community rates it higher (⭐4.9 vs 4.7)
Overview
An AI-powered full-stack web development platform that runs in the browser, allowing users to build and deploy apps with a single prompt.
Uses WebContainers technology to run Node.js directly in the browser.
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.
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
Pros & Cons
Pros
No local setup
Full-stack capabilities
One-click deployment
Cons
Resource intensive for browser
Still in early stages
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
Use Cases
The Verdict
Bolt.new
8/22 features · ⭐4.7
An AI-powered full-stack web development platform that runs in the browser, allowing users to build and deploy apps with a single prompt.…
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…
Both Bolt.new and Agno are capable AI tools serving distinct use cases. Agno leads on raw feature breadth (18 vs 8), making it a stronger choice if you need maximum capability.
Frequently Asked Questions
What is the main difference between Bolt.new and Agno?
Bolt.new — "Prompt, run, and deploy full-stack apps" — focuses on code-ai, while Agno — "High-performance multimodal AI agent framework with native memory and speed" — targets agent-ai, code-ai. The key differences lie in their feature sets and pricing models.
Is Bolt.new free to use?
Yes, Bolt.new offers a free tier. Basic credits for testing
Is Agno free to use?
Yes, Agno offers a free tier. 100% free open-source framework with unlimited local agent execution
Which is better: Bolt.new or Agno?
It depends on your use case. Bolt.new is rated ⭐4.7 and is best suited for developers, creators. Agno is rated ⭐4.9 and is ideal for developers, ai-engineers, data-scientists, startups. Use this comparison to evaluate features that matter to your workflow.
Does Bolt.new have an API?
Yes, Bolt.new provides API access for developers and integrations.
More AI Matchups
Still deciding?
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