Agno vs LangChain
Side-by-side comparison with live GitHub signals. Last updated May 16, 2026.
| Metric | Agno | LangChain |
|---|---|---|
| GitHub Stars | 40.1K | 136.8K |
| Contributors | 423 | 469 |
| Last Commit | May 16, 2026 | May 16, 2026 |
| Open Issues | 898 | 584 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
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About Agno
Agno is a full-stack platform for agentic software comprising three layers: a Python framework for building agents and teams with memory, knowledge, and 100+ tool integrations; a production-ready FastAPI runtime with 50+ APIs, horizontal scaling, native tracing, and human-in-the-loop approval workflows; and AgentOS, a control plane UI for monitoring and managing deployed agents. Supports per-user and per-session isolation, role-based access control, guardrails, evaluations, and immutable audit trails. All data stays in your database — no vendor lock-in.
View full listingAbout LangChain
LangChain is the most widely adopted framework for building LLM-powered applications. It provides modular abstractions for chains, agents, memory, retrievers, and tools, enabling developers to compose complex pipelines from reusable components. Available in both Python and JavaScript/TypeScript, LangChain integrates with every major LLM provider, vector store, and data source. Its ecosystem includes LangSmith for observability and LangGraph for stateful, graph-based agent workflows.
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