Composio vs Agno
Side-by-side comparison of two AI agent tools
Short answer
- Pick Composio for: composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench. Pick Agno for: build, run, manage agentic software at scale.
From GitHub data refreshed daily.
Composioopen-source
Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.
Agnoopen-source
Build, run, manage agentic software at scale.
Metrics
| Composio | Agno | |
|---|---|---|
| Stars | 30.4k | 42.5k |
| Star velocity /mo | 453.1578947368421 | 560.0526315789474 |
| Commits (90d) | 1.2k | 351 |
| Releases (6m) | 10 | 10 |
| Downloads (30d, npm + PyPI) | 5.5M | — |
| Overall score | 0.8244195534198232 | 0.7960554542558297 |
Pros
- +Massive toolkit ecosystem with 1000+ pre-built integrations covering popular APIs and services
- +Multi-language support with robust SDKs for both Python and TypeScript developers
- +Comprehensive infrastructure handling authentication, context management, and sandboxed execution environments
- +Production-ready runtime with built-in scalability, session isolation, and native tracing capabilities
- +Comprehensive monitoring and management through AgentOS UI for testing, debugging, and production oversight
- +Simple development experience - build sophisticated agents with memory and tools in approximately 20 lines of Python code
Cons
- -Requires API key setup and authentication configuration which may add complexity for simple use cases
- -Large feature set could create a learning curve for developers new to agentic frameworks
- -Dependency on external services and APIs may introduce reliability considerations
- -Python-focused platform with limited examples for other programming languages
- -Requires multiple dependencies and proper configuration of API keys and database connections
- -May have a learning curve for implementing complex multi-agent workflows and team coordination
Use Cases
- •Building customer support agents that can access CRM systems, ticketing platforms, and knowledge bases
- •Creating data analysis agents that fetch information from multiple APIs like news sources, financial data, or social media
- •Developing workflow automation agents that integrate with business tools like Slack, GitHub, and project management systems
- •Building production AI agents with persistent state, memory, and custom tool integrations for customer service or automation
- •Creating multi-agent teams and workflows for complex business processes that require coordination between specialized agents
- •Enterprise deployment of AI agents with comprehensive monitoring, user session management, and production-grade reliability requirements
FAQ
- Which is more popular, Composio or Agno?
- Agno has more GitHub stars (42,524 vs 30,413).
- Which is more actively developed, Composio or Agno?
- Composio had more commits in the last 90 days (1,246 vs 351).
- Should I use Composio or Agno?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.