agno and agentscope

These two tools are competitors, both providing frameworks for building and managing agentic software, with Agno focusing on large-scale deployment and Agentscope emphasizing observability and trustworthiness.

agno
94
Verified
agentscope
74
Verified
Maintenance 22/25
Adoption 25/25
Maturity 25/25
Community 22/25
Maintenance 17/25
Adoption 13/25
Maturity 25/25
Community 19/25
Stars: 38,655
Forks: 5,115
Downloads: 1,731,413
Commits (30d): 113
Language: Python
License: Apache-2.0
Stars: 18,063
Forks: 1,606
Downloads: —
Commits (30d): 19
Language: Python
License: Apache-2.0
No risk flags
No risk flags

About agno

agno-agi/agno

Build, run, manage agentic software at scale.

This project helps software developers build, run, and manage 'agentic' software at scale. You can create intelligent agents, multi-agent teams, or complex workflows that interact dynamically, drawing on memory, knowledge, and tools. Developers use this to deploy agents as scalable services and then monitor their performance and interactions in production.

AI development agentic systems production AI intelligent automation software development

About agentscope

agentscope-ai/agentscope

Build and run agents you can see, understand and trust.

AgentScope helps developers build and deploy AI agents that can reason, use tools, and interact with humans or other agents. You provide instructions for how the agents should behave, and the framework helps them process information, make decisions, and complete tasks. This is for software developers, AI engineers, and researchers who want to create complex AI systems.

AI development agentic systems multi-agent orchestration AI deployment large language models

Related comparisons

agno and astron-agent agno and termo-agent agno and astron-agent agno and OpenAgentsControl agno and agentuse agno and oh-my-agent

Scores updated daily from GitHub, PyPI, and npm data. How scores work