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.
This comparison is generated from the sourced Agno and LangSmith profiles. Open either profile to review its evidence and last-reviewed date.