--- title: "agency vs langchaingo" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/neurocult-agency-vs-tmc-langchaingo" tools: ["neurocult-agency", "tmc-langchaingo"] --- # agency vs langchaingo *GraphCanon updated Aug 21, 2026* ## Verdict Pick agency if agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques; pick langchaingo if langChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability. [agency](https://github.com/neurocult/agency) reports 514 GitHub stars, 36 forks, and 4 open issues, last pushed Jan 8, 2025. [langchaingo](https://tmc.github.io/langchaingo/) has 9.6k stars, 1.1k forks, and 410 open issues, last pushed Jan 11, 2026. Figures are from public GitHub metadata via [agency's repository](https://github.com/neurocult/agency) and [langchaingo's repository](https://github.com/tmc/langchaingo). | | [agency](/tools/neurocult-agency.md) | [langchaingo](/tools/tmc-langchaingo.md) | | --- | --- | --- | | Tagline | Library for exploring Large Language Models and generative AI in Go | LangChain for Go, the easiest way to write LLM-based programs in Go | | Stars | 514 | 9,600 | | Forks | 36 | 1,135 | | Open issues | 4 | 410 | | Language | Go | Go | | Adopt for | Agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques. | LangChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agency](/tools/neurocult-agency.md) | [langchaingo](/tools/tmc-langchaingo.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 589d | 208d | | Open issues (now) | 4 | 410 | | Stars delta | +2 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/neurocult-agency/trust.md) | [trust report](/tools/tmc-langchaingo/trust.md) | ## Decision facts: agency - **Pricing:** freemium - Agency is available under MIT license and is free for use, modification, and distribution. Additional services or integrations might involve costs not outlined within the repository. - **Adopt for:** Agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques. ## 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 agency if… - Pricing: Agency is available under MIT license and is free for use, modification, and distribution. Additional services or integrations might involve costs not outlined within the repository.. - Tags unique to agency: agents, generative-ai, language-models, neural-networks. - Also covers AI Agents. - If you're proficient in Go and want to implement LLMs within a familiar ecosystem, consider agency. ### Choose langchaingo if… - Tags unique to langchaingo: ai, golang, langchain. - Also covers Developer Tools. - - You are working on a project that requires LLM-based capabilities, but prefer to code in Go. ## When NOT to use agency - Avoid agency if your primary programming expertise lies outside of the Go ecosystem. - Not recommended if you require real-time performance characteristics that surpass what typical LLM exploration libraries can provide. ## 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 agency and langchaingo? agency: Library for exploring Large Language Models and generative AI in 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 agency over langchaingo? Choose agency over langchaingo when Pricing: Agency is available under MIT license and is free for use, modification, and distribution. Additional services or integrations might involve costs not outlined within the repository.; Tags unique to agency: agents, generative-ai, language-models, neural-networks; Also covers AI Agents; If you're proficient in Go and want to implement LLMs within a familiar ecosystem, consider agency. ### When should I choose langchaingo over agency? Choose langchaingo over agency when Tags unique to langchaingo: ai, golang, langchain; Also covers Developer Tools; - You are working on a project that requires LLM-based capabilities, but prefer to code in Go. ### When should I avoid agency? Avoid agency if your primary programming expertise lies outside of the Go ecosystem. Not recommended if you require real-time performance characteristics that surpass what typical LLM exploration libraries can provide. ### 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 agency or langchaingo more popular on GitHub? langchaingo has more GitHub stars (9,600 vs 514). Stars measure visibility, not whether either tool fits your constraints. ### Are agency and langchaingo open source? Yes - both are open-source projects on GitHub (agency: MIT, langchaingo: MIT). ### Where can I find alternatives to agency or langchaingo? GraphCanon lists graph-backed alternatives at [agency alternatives](/tools/neurocult-agency/alternatives) and [langchaingo alternatives](/tools/tmc-langchaingo/alternatives) ([agency markdown twin](/tools/neurocult-agency/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/neurocult-agency-vs-tmc-langchaingo.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agency or langchaingo? agency: Dormant. 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 agency and langchaingo? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agency trust report](/tools/neurocult-agency/trust); [langchaingo trust report](/tools/tmc-langchaingo/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=neurocult-agency`](/api/graphcanon/graph?tool=neurocult-agency) - 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/_