FastAgency vs LangChain
Side-by-side comparison with live GitHub signals. Last updated April 1, 2026.
| Metric | FastAgency | LangChain |
|---|---|---|
| GitHub Stars | 1.8K | 131.9K |
| Contributors | 25 | 469 |
| Last Commit | Mar 20, 2026 | Mar 31, 2026 |
| Open Issues | — | 509 |
| 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 FastAgency
FastAgency is a Python framework for rapidly building and deploying multi-agent AI workflows. It provides high-level abstractions for agent creation, tool integration, and deployment with support for multiple LLM providers. Focuses on speed of development and production readiness.
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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