--- title: "langchain vs superagent" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langchain-ai-langchain-vs-superagent-ai-superagent" tools: ["langchain-ai-langchain", "superagent-ai-superagent"] --- # langchain vs superagent *GraphCanon updated Jul 11, 2026* ## Verdict Pick langchain when langchain is primarily Python; superagent is TypeScript; pick superagent when superagent is primarily TypeScript; langchain is Python. [langchain](https://docs.langchain.com/langchain/) reports 142k GitHub stars, 24k forks, and 419 open issues, last pushed Jul 11, 2026. [superagent](https://superagent.sh) has 6.7k stars, 963 forks, and 9 open issues, last pushed Apr 11, 2026. Figures are from public GitHub metadata via [langchain's repository](https://github.com/langchain-ai/langchain) and [superagent's repository](https://github.com/superagent-ai/superagent). | | [langchain](/tools/langchain-ai-langchain.md) | [superagent](/tools/superagent-ai-superagent.md) | | --- | --- | --- | | Tagline | The agent engineering platform. | Superagent protects your AI applications against prompt injections, data leaks, and harmful outputs. Embed safety directly into your app and prove compliance to your customers. | | Stars | 141,504 | 6,669 | | Forks | 23,516 | 963 | | Open issues | 419 | 9 | | Language | Python | TypeScript | | Adopt for | LangChain is an open-source platform designed specifically for building agents and applications that leverage large language models (LLMs). It provides a standard framework to develop interoperable components and connect | - | | Persona | - | - | | Runtime | - | - | | License | MIT License, allowing free use for both personal and commercial purposes under its stipulated terms. | MIT | | Categories | LLM Frameworks, AI Agents | AI Agents, LLM Frameworks, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langchain](/tools/langchain-ai-langchain.md) | [superagent](/tools/superagent-ai-superagent.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 91d | | Open issues (now) | 419 | 9 | | Full report | [trust report](/tools/langchain-ai-langchain/trust.md) | [trust report](/tools/superagent-ai-superagent/trust.md) | ## Shared compatibility - **Python**: [langchain](/tools/langchain-ai-langchain.md) - Python runtime; [superagent](/tools/superagent-ai-superagent.md) - Python runtime ## Decision facts: langchain - **Pricing:** freemium - LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI. - **Adopt for:** LangChain is an open-source platform designed specifically for building agents and applications that leverage large language models (LLMs). It provides a standard framework to develop interoperable components and connect - **License detail:** MIT License, allowing free use for both personal and commercial purposes under its stipulated terms. ## Choose when ### Choose langchain if… - langchain is primarily Python; superagent is TypeScript. - Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI.. - Tags unique to langchain: agents, gemini, deepagents, generative-ai. - * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations. ### Choose superagent if… - superagent is primarily TypeScript; langchain is Python. - Tags unique to superagent: prompt-injection, llm, ai, security. - Also covers Inference & Serving. ## When NOT to use langchain - * When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity. - * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth - * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework. ## When NOT to use superagent - Last GitHub push was 92 days ago (slowing maintenance, Apr 11, 2026). Validate activity before betting a new project on superagent. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## Common questions ### What is the difference between langchain and superagent? langchain: The agent engineering platform.. superagent: Superagent protects your AI applications against prompt injections, data leaks, and harmful outputs. Embed safety directly into your app and prove compliance to your customers.. See the comparison table for live GitHub stats and shared categories. ### When should I choose langchain over superagent? Choose langchain over superagent when langchain is primarily Python; superagent is TypeScript; Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI.; Tags unique to langchain: agents, gemini, deepagents, generative-ai; * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations. ### When should I choose superagent over langchain? Choose superagent over langchain when superagent is primarily TypeScript; langchain is Python; Tags unique to superagent: prompt-injection, llm, ai, security; Also covers Inference & Serving. ### When should I avoid langchain? * When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity. * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework. ### When should I avoid superagent? Last GitHub push was 92 days ago (slowing maintenance, Apr 11, 2026). Validate activity before betting a new project on superagent. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is langchain or superagent more popular on GitHub? langchain has more GitHub stars (141,504 vs 6,669). Stars measure visibility, not whether either tool fits your constraints. ### Are langchain and superagent open source? Yes - both are open-source projects on GitHub (langchain: MIT, superagent: MIT). ### Where can I find alternatives to langchain or superagent? GraphCanon lists graph-backed alternatives at [langchain alternatives](/tools/langchain-ai-langchain/alternatives) and [superagent alternatives](/tools/superagent-ai-superagent/alternatives) ([langchain markdown twin](/tools/langchain-ai-langchain/alternatives.md), [superagent markdown twin](/tools/superagent-ai-superagent/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/langchain-ai-langchain-vs-superagent-ai-superagent.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langchain or superagent? langchain: Very active. superagent: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for langchain and superagent? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langchain trust report](/tools/langchain-ai-langchain/trust); [superagent trust report](/tools/superagent-ai-superagent/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langchain-ai-langchain`](/api/graphcanon/graph?tool=langchain-ai-langchain) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_