--- title: "aisix vs langchain-serve" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/api7-aisix-vs-jina-ai-langchain-serve" tools: ["api7-aisix", "jina-ai-langchain-serve"] --- # aisix vs langchain-serve *GraphCanon updated Sep 20, 2026* ## Verdict Pick aisix if aISIX is a Rust-native AI gateway designed for routing and managing traffic to various AI providers; pick langchain-serve if langchain-serve is a tool for deploying Langchain applications in production using Jina and FastAPI, with support for Docker Compose or Kubernetes deployment and secrets management. [aisix](https://api7.ai/ai-gateway) reports 151 GitHub stars, 30 forks, and 106 open issues, last pushed Sep 13, 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 [aisix's repository](https://github.com/api7/aisix) and [langchain-serve's repository](https://github.com/jina-ai/langchain-serve). | | [aisix](/tools/api7-aisix.md) | [langchain-serve](/tools/jina-ai-langchain-serve.md) | | --- | --- | --- | | Tagline | Open-source AI gateway for LLMs & AI agents | Self-host LLM Apps with Docker Compose or Kubernetes | | Stars | 151 | 1,639 | | Forks | 30 | 133 | | Open issues | 106 | 15 | | Language | Rust | Python | | Adopt for | AISIX is a Rust-native AI gateway designed for routing and managing traffic to various AI providers | Langchain-serve is a tool for deploying Langchain applications in production using Jina and FastAPI, with support for Docker Compose or Kubernetes deployment and secrets management. | | Persona | - | - | | Runtime | - | - | | License | AISIX is available under the Apache License, Version 2.0 which allows you to freely use, modify, and distribute it with proper attribution | Apache-2.0 | | Categories | AI Agents, Inference & Serving | Developer Tools, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [aisix](/tools/api7-aisix.md) | [langchain-serve](/tools/jina-ai-langchain-serve.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 0d | 1094d | | Archived on GitHub | No | Yes | | Open issues (now) | 106 | 15 | | Stars delta | +59 (30d) | -1 (30d) | | Open issues delta | +8 (30d) | 0 (30d) | | Full report | [trust report](/tools/api7-aisix/trust.md) | [trust report](/tools/jina-ai-langchain-serve/trust.md) | ## Decision facts: aisix - **Pricing:** freemium - The open-source core (AISIX Gateway) can be used for free. For advanced features like team governance, budgets, and audit dashboard access, the AISIX Cloud is available on a managed SaaS model. - **Requirements:** Requires etcd running to store configurations; Self-hosted setup requires Docker Compose for local testing with example configuration files - **Adopt for:** AISIX is a Rust-native AI gateway designed for routing and managing traffic to various AI providers - **License detail:** AISIX is available under the Apache License, Version 2.0 which allows you to freely use, modify, and distribute it with proper attribution ## Decision facts: langchain-serve - **Pricing:** freemium - Base credits ensure high availability by maintaining at least one instance running continuously, while serving credits are charged when the application is actively serving requests. Pricing is based, - **Requirements:** Min 1 GB RAM; Requires Docker; Requires Docker Compose or Kubernetes for deployment.; Secrets management is supported via `.env` files. - **Adopt for:** Langchain-serve is a tool for deploying Langchain applications in production using Jina and FastAPI, with support for Docker Compose or Kubernetes deployment and secrets management. ## Choose when ### Choose aisix if… - aisix is primarily Rust; langchain-serve is Python. - Pricing: The open-source core (AISIX Gateway) can be used for free. For advanced features like team governance, budgets, and audit dashboard access, the AISIX Cloud is available on a managed SaaS model.. - Requirements: Requires etcd running to store configurations; Self-hosted setup requires Docker Compose for local testing with example configuration files. - Tags unique to aisix: ai-agents, llm-gateway, observability, openai-compatible. - Also covers AI Agents. - aisix ships Docker support for self-hosted deployment. - When you need an OpenAI-compatible API that can route requests to multiple LLM providers like OpenAI, Anthropic, Gemini, and Bedrock ### Choose langchain-serve if… - langchain-serve is primarily Python; aisix is Rust. - Pricing: Base credits ensure high availability by maintaining at least one instance running continuously, while serving credits are charged when the application is actively serving requests. Pricing is based, . - Requirements: Min 1 GB RAM; Requires Docker; Requires Docker Compose or Kubernetes for deployment.; Secrets management is supported via `.env` files.. - Tags unique to langchain-serve: autogpt, autonomous-agents, babyagi, chatbot. - Also covers Developer Tools. - When you need to deploy Langchain applications with Jina and FastAPI on your own infrastructure. ## When NOT to use aisix - If you require a fully managed service with minimal setup and configuration since AISIX requires self-hosting or connecting to AISIX Cloud for management features - For projects preferring dynamic languages over statically compiled binaries, given that AISIX is built in Rust and ships as one static binary ## When NOT to use langchain-serve - If you do not require or prefer not to use Jina and FastAPI for your Langchain applications. - When you do not need or want to manage secrets through a `.env` file during deployment. - If you are not interested in deploying your applications using Docker Compose or Kubernetes. - If you are looking for a fully managed cloud service without the need to manage your own infrastructure. ## Common questions ### What is the difference between aisix and langchain-serve? aisix: Open-source AI gateway for LLMs & AI agents. langchain-serve: Self-host LLM Apps with Docker Compose or Kubernetes. See the comparison table for live GitHub stats and shared categories. ### When should I choose aisix over langchain-serve? Choose aisix over langchain-serve when aisix is primarily Rust; langchain-serve is Python; Pricing: The open-source core (AISIX Gateway) can be used for free. For advanced features like team governance, budgets, and audit dashboard access, the AISIX Cloud is available on a managed SaaS model.; Requirements: Requires etcd running to store configurations; Self-hosted setup requires Docker Compose for local testing with example configuration files; Tags unique to aisix: ai-agents, llm-gateway, observability, openai-compatible; Also covers AI Agents; aisix ships Docker support for self-hosted deployment; When you need an OpenAI-compatible API that can route requests to multiple LLM providers like OpenAI, Anthropic, Gemini, and Bedrock. ### When should I choose langchain-serve over aisix? Choose langchain-serve over aisix when langchain-serve is primarily Python; aisix is Rust; Pricing: Base credits ensure high availability by maintaining at least one instance running continuously, while serving credits are charged when the application is actively serving requests. Pricing is based, ; Requirements: Min 1 GB RAM; Requires Docker; Requires Docker Compose or Kubernetes for deployment.; Secrets management is supported via `.env` files.; Tags unique to langchain-serve: autogpt, autonomous-agents, babyagi, chatbot; Also covers Developer Tools; When you need to deploy Langchain applications with Jina and FastAPI on your own infrastructure. ### When should I avoid aisix? If you require a fully managed service with minimal setup and configuration since AISIX requires self-hosting or connecting to AISIX Cloud for management features For projects preferring dynamic languages over statically compiled binaries, given that AISIX is built in Rust and ships as one static binary ### When should I avoid langchain-serve? If you do not require or prefer not to use Jina and FastAPI for your Langchain applications. When you do not need or want to manage secrets through a `.env` file during deployment. If you are not interested in deploying your applications using Docker Compose or Kubernetes. If you are looking for a fully managed cloud service without the need to manage your own infrastructure. ### Is aisix or langchain-serve more popular on GitHub? langchain-serve has more GitHub stars (1,639 vs 151). Stars measure visibility, not whether either tool fits your constraints. ### Are aisix and langchain-serve open source? Yes - both are open-source projects on GitHub (aisix: Apache-2.0, langchain-serve: Apache-2.0). ### Where can I find alternatives to aisix or langchain-serve? GraphCanon lists graph-backed alternatives at [aisix alternatives](/tools/api7-aisix/alternatives) and [langchain-serve alternatives](/tools/jina-ai-langchain-serve/alternatives) ([aisix markdown twin](/tools/api7-aisix/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/api7-aisix-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, aisix or langchain-serve? aisix: 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 aisix and langchain-serve? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aisix trust report](/tools/api7-aisix/trust); [langchain-serve trust report](/tools/jina-ai-langchain-serve/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=api7-aisix`](/api/graphcanon/graph?tool=api7-aisix) - 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/_