--- title: "gateway vs langchain-serve" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/adaline-gateway-vs-jina-ai-langchain-serve" tools: ["adaline-gateway", "jina-ai-langchain-serve"] --- # gateway vs langchain-serve *GraphCanon updated Jul 12, 2026* ## Verdict Pick gateway when gateway is primarily TypeScript; langchain-serve is Python; pick langchain-serve when langchain-serve is primarily Python; gateway is TypeScript. [gateway](https://www.adaline.ai/docs) reports 599 GitHub stars, 27 forks, and 0 open issues, last pushed Jul 11, 2026. [langchain-serve](https://cloud.jina.ai) has 1.6k stars, 133 forks, and 15 open issues, last pushed Sep 20, 2023. Figures are from public GitHub metadata via [gateway's repository](https://github.com/adaline/gateway) and [langchain-serve's repository](https://github.com/jina-ai/langchain-serve). | | [gateway](/tools/adaline-gateway.md) | [langchain-serve](/tools/jina-ai-langchain-serve.md) | | --- | --- | --- | | Tagline | The only fully local production-grade Super SDK that provides a simple, unified, and powerful interface for calling more than 200+ LLMs. | ⚡ Langchain apps in production using Jina & FastAPI | | Stars | 599 | 1,639 | | Forks | 27 | 133 | | Open issues | 0 | 15 | | Language | TypeScript | Python | | Adopt for | Adaline Gateway is a comprehensive SDK for local deployment, capable of calling more than 300 language models with integrated features like batching, caching, and extensible plugins. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, Developer Tools, LLM Frameworks | AI Agents, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [gateway](/tools/adaline-gateway.md) | [langchain-serve](/tools/jina-ai-langchain-serve.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 0d | 1025d | | Archived on GitHub | No | Yes | | Open issues (now) | 0 | 15 | | Security scan | No lockfile | No criticals | | Full report | [trust report](/tools/adaline-gateway/trust.md) | [trust report](/tools/jina-ai-langchain-serve/trust.md) | ## Decision facts: gateway - **Pricing:** unknown - The repository description does not include pricing information. The software is available under the MIT license which allows for free usage but does not detail commercial support costs or enterprise- - **Adopt for:** Adaline Gateway is a comprehensive SDK for local deployment, capable of calling more than 300 language models with integrated features like batching, caching, and extensible plugins. ## Choose when ### Choose gateway if… - gateway is primarily TypeScript; langchain-serve is Python. - License: gateway is MIT, langchain-serve is Apache-2.0. - Pricing: The repository description does not include pricing information. The software is available under the MIT license which allows for free usage but does not detail commercial support costs or enterprise-. - Tags unique to gateway: ai, ai-agents, anthropic, language-model. - Also covers Developer Tools. - - You require a fully local execution environment, thus avoiding any internet dependency or proxy setup. ### Choose langchain-serve if… - langchain-serve is primarily Python; gateway is TypeScript. - License: langchain-serve is Apache-2.0, gateway is MIT. - Tags unique to langchain-serve: autogpt, autonomous-agents, babyagi, chatbot. - Also covers Inference & Serving. ## When NOT to use gateway - - Your project depends on cloud-based API endpoints that require internet connectivity; Gateway operates fully locally and does not function as an online proxy. - - You do not need support from over 300 LLMs or the extensive feature set provided by Gateway, preferring a simpler SDK with fewer integrations. ## 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. ## Common questions ### What is the difference between gateway and langchain-serve? gateway: The only fully local production-grade Super SDK that provides a simple, unified, and powerful interface for calling more than 200+ LLMs.. langchain-serve: ⚡ Langchain apps in production using Jina & FastAPI. See the comparison table for live GitHub stats and shared categories. ### When should I choose gateway over langchain-serve? Choose gateway over langchain-serve when gateway is primarily TypeScript; langchain-serve is Python; License: gateway is MIT, langchain-serve is Apache-2.0; Pricing: The repository description does not include pricing information. The software is available under the MIT license which allows for free usage but does not detail commercial support costs or enterprise-; Tags unique to gateway: ai, ai-agents, anthropic, language-model; Also covers Developer Tools; - You require a fully local execution environment, thus avoiding any internet dependency or proxy setup. ### When should I choose langchain-serve over gateway? Choose langchain-serve over gateway when langchain-serve is primarily Python; gateway is TypeScript; License: langchain-serve is Apache-2.0, gateway is MIT; Tags unique to langchain-serve: autogpt, autonomous-agents, babyagi, chatbot; Also covers Inference & Serving. ### When should I avoid gateway? - Your project depends on cloud-based API endpoints that require internet connectivity; Gateway operates fully locally and does not function as an online proxy. - You do not need support from over 300 LLMs or the extensive feature set provided by Gateway, preferring a simpler SDK with fewer integrations. ### 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. ### Is gateway or langchain-serve more popular on GitHub? langchain-serve has more GitHub stars (1,639 vs 599). Stars measure visibility, not whether either tool fits your constraints. ### Are gateway and langchain-serve open source? Yes - both are open-source projects on GitHub (gateway: MIT, langchain-serve: Apache-2.0). ### Where can I find alternatives to gateway or langchain-serve? GraphCanon lists graph-backed alternatives at [gateway alternatives](/tools/adaline-gateway/alternatives) and [langchain-serve alternatives](/tools/jina-ai-langchain-serve/alternatives) ([gateway markdown twin](/tools/adaline-gateway/alternatives.md), [langchain-serve markdown twin](/tools/jina-ai-langchain-serve/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/adaline-gateway-vs-jina-ai-langchain-serve.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, gateway or langchain-serve? gateway: Very active. langchain-serve: Archived. 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 gateway and langchain-serve? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [gateway trust report](/tools/adaline-gateway/trust); [langchain-serve trust report](/tools/jina-ai-langchain-serve/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=adaline-gateway`](/api/graphcanon/graph?tool=adaline-gateway) - 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/_