Side-by-side comparison of free tiers, features, privacy, and company background. Updated for 2026.
529× faster agents than LangGraph, 50× lower memory
Formerly Phidata, Agno benchmarks at 529x faster agent instantiation than LangGraph with 50x lower memory usage. Offers plug-and-play storage backends and a clean Python API. Best for developers building performance-critical agent systems that need to scale.
pip install agno → Create an Agent with a model and tools → Run agent.run() to execute your first AI agent workflow
Multi-agent orchestration — role-based, 44K+ stars
Makes multi-agent systems intuitive by letting you define agents with roles, goals, and backstories — like assembling a team. At 44K+ stars, it has strong community support and integrates well with most LLM providers.
Install with pip install crewai → Define agents with roles and goals in Python → Create a Crew with tasks and kick it off