--- title: "langchain-serve vs serve" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jina-ai-langchain-serve-vs-jina-ai-serve" tools: ["jina-ai-langchain-serve", "jina-ai-serve"] --- # langchain-serve vs serve *GraphCanon updated Jul 12, 2026* ## Verdict Pick langchain-serve when tags unique to langchain-serve: autogpt, autonomous-agents, babyagi, chatbot; pick serve when tags unique to serve: cloud-native, cncf, deep-learning, docker. [langchain-serve](https://cloud.jina.ai) reports 1.6k GitHub stars, 133 forks, and 15 open issues, last pushed Sep 20, 2023. [serve](https://jina.ai/serve) has 22k stars, 2.2k forks, and 25 open issues, last pushed Mar 24, 2025. Figures are from public GitHub metadata via [langchain-serve's repository](https://github.com/jina-ai/langchain-serve) and [serve's repository](https://github.com/jina-ai/serve). | | [langchain-serve](/tools/jina-ai-langchain-serve.md) | [serve](/tools/jina-ai-serve.md) | | --- | --- | --- | | Tagline | ⚡ Langchain apps in production using Jina & FastAPI | ☁️ Build multimodal AI applications with cloud-native stack | | Stars | 1,639 | 21,856 | | Forks | 133 | 2,241 | | Open issues | 15 | 25 | | Language | Python | Python | | Adopt for | - | Serve is a cloud-native framework from Jina, designed for building and deploying multimodal AI services using modern technologies like Kubernetes, gRPC, and OpenTelemetry. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | 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) | [serve](/tools/jina-ai-serve.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Dormant (18%) | | Days since push | 1025d | 474d | | Archived on GitHub | Yes | No | | Open issues (now) | 15 | 25 | | Full report | [trust report](/tools/jina-ai-langchain-serve/trust.md) | [trust report](/tools/jina-ai-serve/trust.md) | ## Shared compatibility - **Python**: [langchain-serve](/tools/jina-ai-langchain-serve.md) - Python runtime; [serve](/tools/jina-ai-serve.md) - Python runtime ## Decision facts: serve - **Adopt for:** Serve is a cloud-native framework from Jina, designed for building and deploying multimodal AI services using modern technologies like Kubernetes, gRPC, and OpenTelemetry. ## Choose when ### Choose langchain-serve if… - Tags unique to langchain-serve: autogpt, autonomous-agents, babyagi, chatbot. - Leaner open-issue backlog (15). ### Choose serve if… - Tags unique to serve: cloud-native, cncf, deep-learning, docker. - Serve is a cloud-native framework from Jina, designed for building and deploying multimodal AI services using modern technologies like Kubernetes, gRPC, and OpenTelemetry. - More GitHub stars (22k vs 1.6k) - visibility, not fit. ## 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 serve - Last GitHub push was 474 days ago (dormant maintenance, Mar 24, 2025). Validate activity before betting a new project on serve. - 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 langchain-serve and serve? langchain-serve: ⚡ Langchain apps in production using Jina & FastAPI. serve: ☁️ Build multimodal AI applications with cloud-native stack. See the comparison table for live GitHub stats and shared categories. ### When should I choose langchain-serve over serve? Choose langchain-serve over serve when Tags unique to langchain-serve: autogpt, autonomous-agents, babyagi, chatbot; Leaner open-issue backlog (15). ### When should I choose serve over langchain-serve? Choose serve over langchain-serve when Tags unique to serve: cloud-native, cncf, deep-learning, docker; Serve is a cloud-native framework from Jina, designed for building and deploying multimodal AI services using modern technologies like Kubernetes, gRPC, and OpenTelemetry; More GitHub stars (22k vs 1.6k) - visibility, not fit. ### 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 serve? Last GitHub push was 474 days ago (dormant maintenance, Mar 24, 2025). Validate activity before betting a new project on serve. 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 langchain-serve or serve more popular on GitHub? serve has more GitHub stars (21,856 vs 1,639). Stars measure visibility, not whether either tool fits your constraints. ### Are langchain-serve and serve open source? Yes - both are open-source projects on GitHub (langchain-serve: Apache-2.0, serve: Apache-2.0). ### Where can I find alternatives to langchain-serve or serve? GraphCanon lists graph-backed alternatives at [langchain-serve alternatives](/tools/jina-ai-langchain-serve/alternatives) and [serve alternatives](/tools/jina-ai-serve/alternatives) ([langchain-serve markdown twin](/tools/jina-ai-langchain-serve/alternatives.md), [serve markdown twin](/tools/jina-ai-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/jina-ai-langchain-serve-vs-jina-ai-serve.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langchain-serve or serve? langchain-serve: Archived. serve: 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 serve? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langchain-serve trust report](/tools/jina-ai-langchain-serve/trust); [serve trust report](/tools/jina-ai-serve/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/_