Upsonic vs Agno
Side-by-side comparison of two AI agent tools
Short answer
- Agno is growing faster: +560 GitHub stars in the last 30 days vs +22 for Upsonic.
- Pick Upsonic for: agent Framework For Fintech and Banks. Pick Agno for: build, run, manage agentic software at scale.
From GitHub data refreshed daily.
Upsonicopen-source
Agent Framework For Fintech and Banks
Agnoopen-source
Build, run, manage agentic software at scale.
Metrics
| Upsonic | Agno | |
|---|---|---|
| Stars | 8.0k | 42.5k |
| Star velocity /mo | 21.789473684210527 | 560.0526315789474 |
| Commits (90d) | 0 | 351 |
| Releases (6m) | 9 | 10 |
| Downloads (30d, npm + PyPI) | — | 1.7M |
| Overall score | 0.3023649356804341 | 0.7960554542558297 |
Pros
- +Multi-provider AI support (OpenAI, Anthropic, Azure, Bedrock) with unified interface
- +Built-in safety policies and compliance monitoring for enterprise environments
- +Comprehensive agent capabilities including memory, OCR, and multi-agent coordination
- +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
- -Python-only implementation limits cross-language integration
- -Smaller community compared to major AI frameworks
- -Documentation hosted externally rather than in-repository
- -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
- •Financial analysis and reporting with automated data processing and insights generation
- •Document analysis and processing using OCR to extract text from images and PDFs
- •Multi-agent workflow orchestration for complex research and data gathering tasks
- •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, Upsonic or Agno?
- Agno has more GitHub stars (42,524 vs 7,956).
- Which is more actively developed, Upsonic or Agno?
- Agno had more commits in the last 90 days (351 vs 0).
- Should I use Upsonic 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.