--- title: "langchain-serve vs langcorn" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jina-ai-langchain-serve-vs-msoedov-langcorn" tools: ["jina-ai-langchain-serve", "msoedov-langcorn"] --- # langchain-serve vs langcorn *GraphCanon updated Jul 12, 2026* ## Verdict Pick langchain-serve when license: langchain-serve is Apache-2.0, langcorn is MIT; pick langcorn when license: langcorn is MIT, langchain-serve is Apache-2.0. [langchain-serve](https://cloud.jina.ai) reports 1.6k GitHub stars, 133 forks, and 15 open issues, last pushed Sep 20, 2023. [langcorn](https://langcorn.vercel.app/docs) has 938 stars, 69 forks, and 21 open issues, last pushed Jul 15, 2024. Figures are from public GitHub metadata via [langchain-serve's repository](https://github.com/jina-ai/langchain-serve) and [langcorn's repository](https://github.com/msoedov/langcorn). | | [langchain-serve](/tools/jina-ai-langchain-serve.md) | [langcorn](/tools/msoedov-langcorn.md) | | --- | --- | --- | | Tagline | ⚡ Langchain apps in production using Jina & FastAPI | ⛓️ Serving LangChain LLM apps and agents automagically with FastApi. LLMops | | Stars | 1,639 | 938 | | Forks | 133 | 69 | | Open issues | 15 | 21 | | Language | Python | Python | | Adopt for | - | LangCorn automates the process of serving LangChain Large Language Model (LLM) applications using FastAPI, creating RESTful APIs for various LLM chains. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Inference & Serving, LLM Frameworks | AI Agents, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langchain-serve](/tools/jina-ai-langchain-serve.md) | [langcorn](/tools/msoedov-langcorn.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Dormant (18%) | | Days since push | 1025d | 725d | | Archived on GitHub | Yes | No | | Open issues (now) | 15 | 21 | | Owner type | Organization | User | | Security scan | No criticals | 131 low (131 low) | | Full report | [trust report](/tools/jina-ai-langchain-serve/trust.md) | [trust report](/tools/msoedov-langcorn/trust.md) | ## Shared compatibility - **Python**: [langchain-serve](/tools/jina-ai-langchain-serve.md) - Python runtime; [langcorn](/tools/msoedov-langcorn.md) - Python runtime ## Decision facts: langcorn - **Adopt for:** LangCorn automates the process of serving LangChain Large Language Model (LLM) applications using FastAPI, creating RESTful APIs for various LLM chains. ## Choose when ### Choose langchain-serve if… - License: langchain-serve is Apache-2.0, langcorn is MIT. - Tags unique to langchain-serve: autogpt, autonomous-agents, babyagi, chatbot. - More GitHub stars (1.6k vs 938) - visibility, not fit. ### Choose langcorn if… - License: langcorn is MIT, langchain-serve is Apache-2.0. - Tags unique to langcorn: api, langchain-python, large-language-models, llmops. - - When you need a streamlined way to serve multiple LangChain LLM applications with individual endpoints through FastAPI ## When NOT to use langchain-serve - langchain-serve is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use langcorn - - If your project does not use LangChain for LLMs, as LangCorn specifically wraps around this framework - - In cases where you do not wish to utilize FastAPI for serving purposes; if another web server or framework is already in place and you want minimal changes ## Common questions ### What is the difference between langchain-serve and langcorn? langchain-serve: ⚡ Langchain apps in production using Jina & FastAPI. langcorn: ⛓️ Serving LangChain LLM apps and agents automagically with FastApi. LLMops. See the comparison table for live GitHub stats and shared categories. ### When should I choose langchain-serve over langcorn? Choose langchain-serve over langcorn when License: langchain-serve is Apache-2.0, langcorn is MIT; Tags unique to langchain-serve: autogpt, autonomous-agents, babyagi, chatbot; More GitHub stars (1.6k vs 938) - visibility, not fit. ### When should I choose langcorn over langchain-serve? Choose langcorn over langchain-serve when License: langcorn is MIT, langchain-serve is Apache-2.0; Tags unique to langcorn: api, langchain-python, large-language-models, llmops; - When you need a streamlined way to serve multiple LangChain LLM applications with individual endpoints through FastAPI. ### When should I avoid langchain-serve? langchain-serve is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid langcorn? - If your project does not use LangChain for LLMs, as LangCorn specifically wraps around this framework - In cases where you do not wish to utilize FastAPI for serving purposes; if another web server or framework is already in place and you want minimal changes ### Is langchain-serve or langcorn more popular on GitHub? langchain-serve has more GitHub stars (1,639 vs 938). Stars measure visibility, not whether either tool fits your constraints. ### Are langchain-serve and langcorn open source? Yes - both are open-source projects on GitHub (langchain-serve: Apache-2.0, langcorn: MIT). ### Where can I find alternatives to langchain-serve or langcorn? GraphCanon lists graph-backed alternatives at [langchain-serve alternatives](/tools/jina-ai-langchain-serve/alternatives) and [langcorn alternatives](/tools/msoedov-langcorn/alternatives) ([langchain-serve markdown twin](/tools/jina-ai-langchain-serve/alternatives.md), [langcorn markdown twin](/tools/msoedov-langcorn/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/jina-ai-langchain-serve-vs-msoedov-langcorn.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langchain-serve or langcorn? langchain-serve: Archived. langcorn: Dormant. 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-serve and langcorn? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langchain-serve trust report](/tools/jina-ai-langchain-serve/trust); [langcorn trust report](/tools/msoedov-langcorn/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jina-ai-langchain-serve`](/api/graphcanon/graph?tool=jina-ai-langchain-serve) - 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/_