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Agno vs CrewAI

Side-by-side comparison with live GitHub signals. Last updated May 26, 2026.

A

Agno

Build, run, and manage agentic software at scale with 38K+ stars

OSSFree
40.4Ktoday436
C

CrewAI

Multi-agent orchestration framework for collaborative AI workflows

OSSFree
52.2Ktoday297
MetricAgnoCrewAI
GitHub Stars40.4K52.2K
Contributors436297
Last CommitMay 26, 2026May 26, 2026
Open Issues932356
Licenseopen-sourceopen-source
Pricingopen-sourceopen-source
Free TierYesYes
Categoryframeworksframeworks
TrendingNoNo

Shared Tags

pythonmulti-agentorchestration

Only in Agno

agent-frameworkfastapitool-usememoryragopen-sourceself-hosted

Only in CrewAI

rolestaskscollaboration

About Agno

Agno is a full-stack platform for agentic software comprising three layers: a Python framework for building agents and teams with memory, knowledge, and 100+ tool integrations; a production-ready FastAPI runtime with 50+ APIs, horizontal scaling, native tracing, and human-in-the-loop approval workflows; and AgentOS, a control plane UI for monitoring and managing deployed agents. Supports per-user and per-session isolation, role-based access control, guardrails, evaluations, and immutable audit trails. All data stays in your database — no vendor lock-in.

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About CrewAI

CrewAI is a lean, fast multi-agent orchestration framework that lets you define autonomous AI agents with distinct roles, goals, and backstories, then assign them tasks within a structured crew. Agents collaborate, delegate, and pass context to each other using a role-playing paradigm that maps naturally to real team workflows. CrewAI supports sequential and hierarchical process flows, integrates with LangChain tools, and ships with a CLI for scaffolding new projects. It is the go-to framework for task-driven multi-agent systems without heavy infrastructure overhead.

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