How many prompts does LangChain Hub have?

Over 11,800 community-contributed prompts across ChatPromptTemplate, StringPromptTemplate, and StructuredPrompt types, in 7 languages.

LangChain Hub Review 2026: Free Community LLM Prompt Library

LangChain Hub Overview: Free Community LangChain Hub Prompts

Central hub for versioned AI prompts and workflows

LangChain Hub is a free, public community repository (part of LangSmith) where anyone can explore and contribute prompts for LLM applications. It hosts thousands of real-world prompts tagged by type, use case, model, and language, ranked by favorites, views, and downloads -- no account, subscription, or team plan required to browse.

11,800+

Prompts

community-shared

Template Types

Chat, String, Structured

Languages

English, Chinese, more

Free

no account needed

Quick Navigation

1Strategic Role 2Who Is It For 3Key Features 4Pricing 5Where Strong 6Use Cases 7Getting Started 8Is It Worth It 9Comparison 10FAQ 11Key Takeaways 12Alternatives

Quick Summary
Overall Rating 4.2/5
Best For Product teams deploying multiple LLM workflows
Pricing Completely free -- a public community prompt repository with no subscription tiers.
Free Plan Yes
Ease of Use 4.5/5
Business Value 4.3/5

What Is LangChain Hub and Why Does It Matter?

LangChain Hub is a platform to explore and contribute prompts to the community hub, as stated on the site. It serves as a repository where users can discover prompts ranked by metrics such as Top Favorited, Top Viewed, Top Downloaded, and Recently Updated. The hub hosts a variety of prompt types, including ChatPromptTemplate, StringPromptTemplate, and StructuredPrompt, and supports multiple languages such as English, Chinese, French, German, Korean, Russian, and Spanish. Prompts are tagged with use cases like Agents, Chatbots, Summarization, and QA over documents, and are associated with models such as openai:gpt-3.5-turbo, openai:gpt-4, anthropic:claude-2, google:gemini-pro, and meta:llama-2-70b-chat. Examples include hardkothari/prompt-maker, rlm/rag-prompt, and hwchase17/react. The hub facilitates community sharing and reuse of prompts for various LLM applications.

Who Should Use LangChain Hub?

Prompt engineers Explore and contribute prompts to the community hub, with tags like prompt-engineering, prompt-optimization, and prompt-optimization.
LLM application developers Find prompts for agents, chatbots, QA over documents, and interacting with APIs, with types including ChatPromptTemplate, StringPromptTemplate, and StructuredPrompt.
RAG and QA builders Use prompts such as rlm/rag-prompt for retrieval-augmented-generation, useful for chat, QA, or other applications that rely on passing context to an LLM.
Model-specific prompt users Browse prompts tagged for openai:gpt-3.5-turbo, openai:gpt-4, anthropic:claude-2, google:gemini-pro, meta:llama-2-70b-chat, and other listed models.

Professional reality: The hub lists prompts with tags, types, and update dates -- there are no pricing tiers, certifications, or third-party integrations beyond the listed models and tags, since it is a free, standalone prompt library.

LangChain Hub Features That Drive Results

DISCOVERY

Explore and Contribute Prompts

LangChain Hub lets users explore and contribute prompts to the community hub, similar in spirit to how Hugging Face Hub shares models.

Find and share prompts with the community.

SORTING

Sort by Popularity and Recency

Prompts can be sorted by Top Favorited, Top Viewed, Top Downloaded, and Recently Updated.

Surface the most relevant prompts quickly.

PROMPT TYPES

Multiple Prompt Template Types

The hub includes ChatPromptTemplate, StringPromptTemplate, and StructuredPrompt types.

Choose the template format that fits your use case.

Browse by Tags

Prompts are tagged with categories such as Agents, Chatbots, Summarization, Extraction, QA over documents, Classification, Code writing, Code understanding, SQL, and more.

Filter prompts by task or topic.

MODELS

Model-Specific Prompts

Prompts are tagged with models including openai:gpt-3.5-turbo, openai:gpt-4, openai:gpt-4-turbo, anthropic:claude-2, google:gemini-pro, and meta:llama-2-70b-chat.

Find prompts compatible with your chosen model.

LANGUAGES

Multilingual Prompts

Prompts are available in languages including English, Chinese, French, German, Korean, Russian, and Spanish.

Use prompts in your preferred language.

LangChain Hub Pricing in 2026

LangChain Hub is entirely free -- it's a public community prompt repository with a Log in link for contributing, not a paid product. There are no subscription tiers, premium features, or usage limits; prompt listings show engagement metrics (favorites, views, downloads) rather than billing information.

Plan	Price	What You Get
Community Hub	Free	Browse, copy, and contribute prompts -- no account, subscription, or usage limits.

Browse the live hub directly at smith.langchain.com/hub -- no signup required to view or copy prompts.

Where LangChain Hub Is Strong / Where It Needs Care

LangChain Hub is filed in theaitoolsbox.com's AI Coding Tools category alongside other developer-focused AI platforms.

Where LangChain Hub Is Strong

Large, Active Prompt LibraryThe hub hosts thousands of prompts, with pagination showing 663 pages of results. Prompts are tagged with usage metrics such as favorites, views, and downloads, making it easy to identify popular and widely used templates.
Diverse Model and Template SupportPrompts are available for many models, including openai:gpt-3.5-turbo, openai:gpt-4, openai:gpt-4-turbo, openai:gpt-4-vision, openai:gpt-4o, anthropic:claude-2, anthropic:claude-2.1, anthropic:claude-3-haiku-20240307, anthropic:claude-3-opus-20240229, anthropic:claude-3-sonnet-20240229, google:gemini-pro, google:gemini-ultra, meta:llama-2-70b-chat, and others. Template types include ChatPromptTemplate, StringPromptTemplate, and StructuredPrompt.
Rich Categorization and TaggingPrompts are organized with extensive tags covering use cases (e.g., Agents, Chatbots, Summarization, QA over documents, Code writing, Extraction), techniques (e.g., Chain of Thought, Few-shot Learning, Role Prompting, Skeleton of Thought), languages (e.g., English, Chinese, French, German, Korean, Russian, Spanish), and model families.
Community Contribution and DiscoveryThe hub allows users to explore and contribute prompts. Prompts are sortable by Top Favorited, Top Viewed, Top Downloaded, and Recently Updated, and individual prompts show author names, update recency, and engagement counts.

Where LangChain Hub Needs Care

No Pricing or Certification InformationThere are no pricing details, paid tiers, or certification programs because the hub is entirely free -- users should not assume any commercial terms exist.
Limited Metadata for Some PromptsSome prompt listings omit certain fields such as model tags, language, or template type. For example, hwchase17/react and hwchase17/react-chat show limited metadata, so users may need to open the prompt for full details.
Unofficial or Community-Maintained PromptsSome prompts are explicitly labeled as unofficial, such as chuxij/open-interpreter-system described as 'the unofficial open interpreter system prompt for GPT-4.' Users should verify suitability and maintenance status before relying on them.
Recency and Versioning VaryPrompts show different update ages (e.g., 'Updated 3 years ago', 'Updated 2 years ago', 'Updated a year ago') and some carry version tags like v1, v1.0.1, v2, or version:v2. Users should check update dates and versions to ensure compatibility with current models and practices.

Real-World Use Cases

For the wider AI coding landscape, see our roundup of the best AI coding tools in 2026.

Retrieval-Augmented Generation (RAG)

Use the rlm/rag-prompt for retrieval-augmented generation, useful for chat, QA, or other applications that rely on passing context to an LLM -- a pattern also supported by frameworks like LlamaIndex. This prompt has 392k downloads and is tagged with QA over documents.

Prompt Improvement

Use hardkothari/prompt-maker to convert your small and lazy prompt into a detailed and better prompt -- a useful companion when working in GitHub Copilot or similar AI coding tools. This template has 109k downloads and is tagged with Summarization.

Text-to-SQL

Use rlm/text-to-sql for generating SQL queries from natural language. This prompt has 49.5k downloads and is tagged with SQL.

YouTube Transcript to Article

Use muhsinbashir/youtube-transcript-to-article to convert any YouTube video transcript into an SEO-friendly article. This prompt has 18.7k downloads and is tagged with Summarization.

How to Get Started With LangChain Hub

For the wider developer tooling landscape, see our guide to the best AI tools for developers in 2026.

Visit smith.langchain.com/hub -- no signup required to browse.

Filter by tag, model, or template type to find a prompt for your use case.

Sort by Top Favorited, Top Viewed, or Top Downloaded to find proven, popular prompts.

Copy the prompt text directly, or log in to contribute your own to the community.

Is LangChain Hub Worth It in 2026?

LangChain Hub delivers real value for anyone building LLM applications, free of charge -- its community library saves time by letting you reuse proven prompts (like rlm/rag-prompt's 392k downloads) instead of writing from scratch. Its main limitation is that it's a public, unofficial repository -- prompts vary in quality and maintenance, and there's no built-in team permissions or private workspace. In 2026, it's a worthwhile free resource for prompt engineers and LLM developers at any company size.

LangChain Hub vs the Competition

Decision Area	LangChain Hub	When Another Option Wins
Best for	A free, public community library of reusable prompts	Flowise for visual flow building
Pricing	Completely free, no per-user cost	Open source alternatives for zero cost
Key feature	Thousands of real, tagged, community-vetted prompts	AgentGPT for conversational AI pipelines
Ease of use	Browse, filter, and copy prompts with no setup	Flowise for drag‑and‑drop flow design
Scaling	Millions of prompts support	Open source self‑hosted solutions

LangChain Hub vs Flowise

Flowise offers a visual drag‑and‑drop interface for building LLM workflows, making it ideal for non‑technical users. However, it lacks the granular audit trail that LangChain Hub provides, which is critical for regulated industries.

Choose LangChain Hub if: You need strict version control and audit logs for compliance. Choose Flowise if: You prefer a purely visual builder with no coding required.

LangChain Hub vs AgentGPT

AgentGPT automates task orchestration across multiple LLM calls for autonomous agent use cases, while LangChain Hub is a static library of individual prompts you copy and use yourself -- the two solve different problems.

Choose LangChain Hub if: You want a free, ready-made prompt for a specific task. Choose AgentGPT if: You need an autonomous agent that chains multiple LLM calls on its own.

Frequently Asked Questions

For more genuinely free, open-source AI tools, see our guide to the best free AI tools in 2026.

Is LangChain Hub free to use in 2026?

Yes -- LangChain Hub is completely free, with no tiers, limits, or hidden fees. Anyone can browse and copy prompts without an account.

What is LangChain Hub best used for?

It is best suited for prompt engineers and LLM developers who want to reuse proven, community-tested prompts (like rlm/rag-prompt or hwchase17/react) instead of writing from scratch.

How does LangChain Hub compare to Flowise?

Flowise is a visual tool for building and running complete LLM workflows, while LangChain Hub is just a free prompt library with nothing to build or run. Choose Flowise to build a workflow, LangChain Hub to find a ready-made prompt.

Is LangChain Hub worth it for small businesses?

Yes -- since LangChain Hub is entirely free with no account required, any business can browse and use its prompts regardless of size or existing LLM stack.

What are the main limitations of LangChain Hub?

It's a public, community-maintained repository -- prompt quality and maintenance vary (some are explicitly labeled unofficial), there's no private workspace or team permissions, and some listings have limited metadata.

Key Takeaways

LangChain Hub is a free, public community repository of thousands of reusable LLM prompts, part of LangSmith.
It's entirely free -- no subscription tiers, no account required to browse.
Its biggest strength is the large, real, community-vetted prompt library; main limitation is that quality and maintenance vary since it's a public, unofficial repository.

Best LangChain Hub Alternatives

Flowise — Provides a visual drag‑and‑drop interface with API access for building LLM workflows, ideal for non‑technical users
AgentGPT — Automates complex conversational agents with API access across multiple LLM calls, with minimal setup
LlamaIndex — Offers a low‑code framework with API access for indexing and querying large datasets in LLM applications

Bottom Line: LangChain Hub is a genuinely useful, completely free resource for anyone building LLM applications who wants to reuse proven prompts instead of writing from scratch -- just verify prompt quality and maintenance status before relying on community-contributed ones.

Last Reviewed: June 2026 | Reviewed by theaitoolsbox.com editorial team

Overall Rating	4.2/5
Best For	Product teams deploying multiple LLM workflows
Pricing	Completely free -- a public community prompt repository with no subscription tiers.
Free Plan	Yes
Ease of Use	4.5/5
Business Value	4.3/5

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LangChain Hub Review 2026: Free Community LangChain Hub Prompts

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