Open Source · Agent Framework Review
Agno
Lightweight Python framework for building multi-modal, multi-agent systems with built-in memory, knowledge, and reasoning. Formerly PhiData, rebranded to Agno in 2025 with a focus on performance and model-agnostic design.
Editorial Score
3/5
3/5
Editorial score
MCP SUPPORTED
Latest: v2.5.16
// Our Verdict
Fast and model-agnostic with strong multi-modal primitives. A credible alternative to LangChain for teams who find LangChain too heavy, but the rebranding from PhiData means community and docs are still catching up.
Best for: Python teams wanting a lightweight, model-agnostic framework with built-in memory and multi-modal support without LangChain's abstraction weight
// Strengths
Genuinely fast — benchmarks consistently show lower latency than heavier frameworks
Model-agnostic by design across OpenAI, Anthropic, Google, and local models
Built-in memory and knowledge base primitives
Multi-modal support for text, image, audio, and video
MCP support included
// Weaknesses
Rebranded from PhiData — community continuity and ecosystem still resettling
The '10,000x faster than LangChain' benchmark is misleading — applies only to agent instantiation time (SSL context setup), not LLM execution. Negligible in real workloads.
Smaller ecosystem and fewer third-party integrations than LangChain
Documentation quality inconsistent post-rebranding
Less production battle-testing than LangGraph or LangChain
// Agentic AI Audit
NOT SURE IF AGNO
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