--- title: "rulego vs langchaingo" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/rulego-rulego-vs-tmc-langchaingo" tools: ["rulego-rulego", "tmc-langchaingo"] --- # rulego vs langchaingo *GraphCanon updated Sep 20, 2026* ## Verdict Pick rulego if ruleGo serves as a lightweight and high-performance rule engine framework developed in Go, best suited for developers focused on AI tasks and automation needing flexibility through component orchestration; pick langchaingo if langChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability. [rulego](https://rulego.cc) reports 1.6k GitHub stars, 157 forks, and 4 open issues, last pushed Sep 14, 2026. [langchaingo](https://tmc.github.io/langchaingo/) has 9.7k stars, 1.1k forks, and 413 open issues, last pushed Jan 11, 2026. Figures are from public GitHub metadata via [rulego's repository](https://github.com/rulego/rulego) and [langchaingo's repository](https://github.com/tmc/langchaingo). | | [rulego](/tools/rulego-rulego.md) | [langchaingo](/tools/tmc-langchaingo.md) | | --- | --- | --- | | Tagline | RuleGo is a lightweight, high-performance rule engine framework for Go. | LangChain for Go, the easiest way to write LLM-based programs in Go | | Stars | 1,606 | 9,670 | | Forks | 157 | 1,146 | | Open issues | 4 | 413 | | Language | Go | Go | | Adopt for | RuleGo serves as a lightweight and high-performance rule engine framework developed in Go, best suited for developers focused on AI tasks and automation needing flexibility through component orchestration. | LangChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability. | | Persona | - | - | | Runtime | - | - | | License | The Apache-2.0 license ensures permissive usage rights with clear conditions for attribution and warranty disclaimers. | MIT | | Categories | Developer Tools | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [rulego](/tools/rulego-rulego.md) | [langchaingo](/tools/tmc-langchaingo.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 5d | 239d | | Open issues (now) | 4 | 413 | | Stars delta | +27 (30d) | +70 (30d) | | Open issues delta | -2 (30d) | +3 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/rulego-rulego/trust.md) | [trust report](/tools/tmc-langchaingo/trust.md) | ## Decision facts: rulego - **Adopt for:** RuleGo serves as a lightweight and high-performance rule engine framework developed in Go, best suited for developers focused on AI tasks and automation needing flexibility through component orchestration. - **License detail:** The Apache-2.0 license ensures permissive usage rights with clear conditions for attribution and warranty disclaimers. ## 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 rulego if… - License: rulego is Apache-2.0, langchaingo is MIT. - Tags unique to rulego: automation, data-flow, edge-computing, integrations. - You face intricate workflow management requirements within an AI application stack and prefer to use the Go language. ### Choose langchaingo if… - License: langchaingo is MIT, rulego is Apache-2.0. - Tags unique to langchaingo: golang, langchain. - Also covers LLM Frameworks. - - You are working on a project that requires LLM-based capabilities, but prefer to code in Go. ## When NOT to use rulego - If your organization has a strong preference for Python or another programming language over Go, as RuleGo is specifically designed for use within the Go ecosystem. - In situations where high-level abstract tools are needed and developer overhead can be minimized, considering RuleGo might add unnecessary complexity due to its focus on low-code frameworks. ## 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 rulego and langchaingo? rulego: RuleGo is a lightweight, high-performance rule engine framework for Go.. 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 rulego over langchaingo? Choose rulego over langchaingo when License: rulego is Apache-2.0, langchaingo is MIT; Tags unique to rulego: automation, data-flow, edge-computing, integrations; You face intricate workflow management requirements within an AI application stack and prefer to use the Go language. ### When should I choose langchaingo over rulego? Choose langchaingo over rulego when License: langchaingo is MIT, rulego is Apache-2.0; Tags unique to langchaingo: golang, langchain; Also covers LLM Frameworks; - You are working on a project that requires LLM-based capabilities, but prefer to code in Go. ### When should I avoid rulego? If your organization has a strong preference for Python or another programming language over Go, as RuleGo is specifically designed for use within the Go ecosystem. In situations where high-level abstract tools are needed and developer overhead can be minimized, considering RuleGo might add unnecessary complexity due to its focus on low-code frameworks. ### 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 rulego or langchaingo more popular on GitHub? langchaingo has more GitHub stars (9,670 vs 1,606). Stars measure visibility, not whether either tool fits your constraints. ### Are rulego and langchaingo open source? Yes - both are open-source projects on GitHub (rulego: Apache-2.0, langchaingo: MIT). ### Where can I find alternatives to rulego or langchaingo? GraphCanon lists graph-backed alternatives at [rulego alternatives](/tools/rulego-rulego/alternatives) and [langchaingo alternatives](/tools/tmc-langchaingo/alternatives) ([rulego markdown twin](/tools/rulego-rulego/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/rulego-rulego-vs-tmc-langchaingo.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, rulego or langchaingo? rulego: 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 rulego and langchaingo? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [rulego trust report](/tools/rulego-rulego/trust); [langchaingo trust report](/tools/tmc-langchaingo/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=rulego-rulego`](/api/graphcanon/graph?tool=rulego-rulego) - 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/_