--- title: "prompts.chat vs langchaingo" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/f-prompts-chat-vs-tmc-langchaingo" tools: ["f-prompts-chat", "tmc-langchaingo"] --- # prompts.chat vs langchaingo *GraphCanon updated Jul 11, 2026* ## Verdict Pick prompts.chat if critical decision points for evaluating `prompts.chat`; pick langchaingo if langChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability. [prompts.chat](https://prompts.chat) reports 165k GitHub stars, 21k forks, and 60 open issues, last pushed Jul 11, 2026. [langchaingo](https://tmc.github.io/langchaingo/) has 9.5k stars, 1.1k forks, and 404 open issues, last pushed Jan 11, 2026. Figures are from public GitHub metadata via [prompts.chat's repository](https://github.com/f/prompts.chat) and [langchaingo's repository](https://github.com/tmc/langchaingo). | | [prompts.chat](/tools/f-prompts-chat.md) | [langchaingo](/tools/tmc-langchaingo.md) | | --- | --- | --- | | Tagline | Share, discover, and collect prompts from the community | LangChain for Go, the easiest way to write LLM-based programs in Go | | Stars | 165,372 | 9,527 | | Forks | 21,400 | 1,118 | | Open issues | 60 | 404 | | Language | HTML | Go | | Adopt for | Critical decision points for evaluating `prompts.chat` | LangChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [prompts.chat](/tools/f-prompts-chat.md) | [langchaingo](/tools/tmc-langchaingo.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 180d | | Open issues (now) | 60 | 404 | | Security scan | No lockfile | 22 low (22 low) | | Full report | [trust report](/tools/f-prompts-chat/trust.md) | [trust report](/tools/tmc-langchaingo/trust.md) | ## Decision facts: prompts.chat - **Adopt for:** Critical decision points for evaluating `prompts.chat` ## Decision facts: langchaingo - **Adopt for:** LangChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability. ## Choose when ### Choose prompts.chat if… - prompts.chat is primarily HTML; langchaingo is Go. - License: prompts.chat is Other, langchaingo is MIT. - Tags unique to prompts.chat: artificial-intelligence, awesome-list, chatgpt, claude. - Critical decision points for evaluating `prompts.chat` ### Choose langchaingo if… - langchaingo is primarily Go; prompts.chat is HTML. - License: langchaingo is MIT, prompts.chat is Other. - Tags unique to langchaingo: go, golang, langchain. - - You are working on a project that requires LLM-based capabilities, but prefer to code in Go. ## When NOT to use prompts.chat - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use langchaingo - - If your project strictly adheres to another programming language where other implementations of LangChain are available. - - When your application requires heavy customization at the framework level that might not be directly supported within LangChainGo’s current implementation. ## Common questions ### What is the difference between prompts.chat and langchaingo? prompts.chat: Share, discover, and collect prompts from the community. langchaingo: LangChain for Go, the easiest way to write LLM-based programs in Go. See the comparison table for live GitHub stats and shared categories. ### When should I choose prompts.chat over langchaingo? Choose prompts.chat over langchaingo when prompts.chat is primarily HTML; langchaingo is Go; License: prompts.chat is Other, langchaingo is MIT; Tags unique to prompts.chat: artificial-intelligence, awesome-list, chatgpt, claude; Critical decision points for evaluating `prompts.chat`. ### When should I choose langchaingo over prompts.chat? Choose langchaingo over prompts.chat when langchaingo is primarily Go; prompts.chat is HTML; License: langchaingo is MIT, prompts.chat is Other; Tags unique to langchaingo: go, golang, langchain; - You are working on a project that requires LLM-based capabilities, but prefer to code in Go. ### When should I avoid prompts.chat? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid langchaingo? - If your project strictly adheres to another programming language where other implementations of LangChain are available. - When your application requires heavy customization at the framework level that might not be directly supported within LangChainGo’s current implementation. ### Is prompts.chat or langchaingo more popular on GitHub? prompts.chat has more GitHub stars (165,372 vs 9,527). Stars measure visibility, not whether either tool fits your constraints. ### Are prompts.chat and langchaingo open source? Yes - both are open-source projects on GitHub (prompts.chat: Other, langchaingo: MIT). ### Where can I find alternatives to prompts.chat or langchaingo? GraphCanon lists graph-backed alternatives at [prompts.chat alternatives](/tools/f-prompts-chat/alternatives) and [langchaingo alternatives](/tools/tmc-langchaingo/alternatives) ([prompts.chat markdown twin](/tools/f-prompts-chat/alternatives.md), [langchaingo markdown twin](/tools/tmc-langchaingo/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/f-prompts-chat-vs-tmc-langchaingo.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, prompts.chat or langchaingo? prompts.chat: Very active. langchaingo: Slowing. 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 prompts.chat and langchaingo? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [prompts.chat trust report](/tools/f-prompts-chat/trust); [langchaingo trust report](/tools/tmc-langchaingo/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=f-prompts-chat`](/api/graphcanon/graph?tool=f-prompts-chat) - 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/_