Agno vs LangSmith
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Agno if you want high-performance python framework for multi-agent systems (Supervised agent, freemium); choose LangSmith if you want framework-agnostic platform to trace, evaluate, and deploy llm agents (Assistant, freemium).
| Agno | LangSmith | |
|---|---|---|
| What it is | High-performance Python framework for multi-agent systems | Framework-agnostic platform to trace, evaluate, and deploy LLM agents |
| Type | framework | platform |
| Autonomy | Supervised agent | Assistant |
| Pricing | freemium | freemium · Free Developer tier (5k traces/mo); Plus $39/seat/mo |
| Best for | developers, smb, enterprise | developers, mid-market, enterprise |
| Deployment | self-hosted, api | saas, self-hosted, api |
| Modalities | text, code, api, image | text, code, api |
| Models | model-agnostic, open-source | model-agnostic, gpt, claude, gemini, open-source |
| Protocols | function-calling, mcp, rest-api | mcp, a2a, function-calling, rest-api |
| Integrations | OpenAI, Anthropic, Google, Ollama, pgvector, Qdrant | LangChain, LangGraph, OpenAI, Anthropic, OpenTelemetry, Vercel AI SDK |
| Capabilities | 4 documented | 4 documented |
Agno
- +Strong performance focus (fast instantiation, low memory) with a clean Python API
- +Clear path from prototype to production via the AgentOS runtime
- +Broad model, vector-DB, and tool coverage, all self-hostable
- -Python-only
- -Younger and smaller ecosystem than LangChain
LangSmith
- +Framework-agnostic tracing via SDKs and OpenTelemetry, not locked to LangChain
- +Combines observability and evaluation in one platform with dataset-based regression testing
- +Self-hosted and hybrid (BYOC) deployment for data-residency and compliance needs
- -Usage-based trace pricing can grow quickly at production volume
- -Deepest integration is with LangChain/LangGraph; other stacks need OTEL or SDK setup
Which should you choose?
Agno is high-performance python framework for multi-agent systems, best for developers, smb, enterprise. LangSmith is framework-agnostic platform to trace, evaluate, and deploy llm agents, best for developers, mid-market, enterprise. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.