--- title: "agency vs langchain-production-starter" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/neurocult-agency-vs-steamship-core-langchain-production-starter" tools: ["neurocult-agency", "steamship-core-langchain-production-starter"] --- # agency vs langchain-production-starter *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 langchain-production-starter if langchain-production-starter offers a Python-based starter kit for deploying LangChain agents and integrating them with Telegram. [agency](https://github.com/neurocult/agency) reports 514 GitHub stars, 36 forks, and 4 open issues, last pushed Jan 8, 2025. [langchain-production-starter](https://github.com/steamship-core/langchain-production-starter) has 477 stars, 557 forks, and 4 open issues, last pushed Jul 27, 2023. Figures are from public GitHub metadata via [agency's repository](https://github.com/neurocult/agency) and [langchain-production-starter's repository](https://github.com/steamship-core/langchain-production-starter). | | [agency](/tools/neurocult-agency.md) | [langchain-production-starter](/tools/steamship-core-langchain-production-starter.md) | | --- | --- | --- | | Tagline | Library for exploring Large Language Models and generative AI in Go | Deploy LangChain Agents and connect them to Telegram | | Stars | 514 | 477 | | Forks | 36 | 557 | | Open issues | 4 | 4 | | Language | Go | Python | | Adopt for | Agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques. | langchain-production-starter offers a Python-based starter kit for deploying LangChain agents and integrating them with Telegram. | | Persona | - | - | | Runtime | - | - | | License | MIT | - | | Categories | AI Agents, LLM Frameworks | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agency](/tools/neurocult-agency.md) | [langchain-production-starter](/tools/steamship-core-langchain-production-starter.md) | | --- | --- | --- | | Days since push | 589d | 1114d | | Stars delta | +2 (30d) | 0 (30d) | | Full report | [trust report](/tools/neurocult-agency/trust.md) | [trust report](/tools/steamship-core-langchain-production-starter/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: langchain-production-starter - **Adopt for:** langchain-production-starter offers a Python-based starter kit for deploying LangChain agents and integrating them with Telegram. ## Choose when ### Choose agency if… - agency is primarily Go; langchain-production-starter is Python. - 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, go, language-models. - Also covers LLM Frameworks. - If you're proficient in Go and want to implement LLMs within a familiar ecosystem, consider agency. ### Choose langchain-production-starter if… - langchain-production-starter is primarily Python; agency is Go. - Tags unique to langchain-production-starter: chatbot, gpt4, langchain, langchain-python. - - You require integration of your AI chatbot with the Telegram platform, as this tool specifically includes instructions to fetch a Telegram key for such integration. ## 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 langchain-production-starter - - If you are not using Python as your primary language since the repository requires installing dependencies with 'pip', making it less suitable if your development is in another language. - - Projects that do not require Telegram integration can find this starter kit less relevant, as a significant portion of its setup guide focuses on connecting to Telegram. - - If you need to deploy agents without any social media or messaging platform integrations. ## Common questions ### What is the difference between agency and langchain-production-starter? agency: Library for exploring Large Language Models and generative AI in Go. langchain-production-starter: Deploy LangChain Agents and connect them to Telegram. See the comparison table for live GitHub stats and shared categories. ### When should I choose agency over langchain-production-starter? Choose agency over langchain-production-starter when agency is primarily Go; langchain-production-starter is Python; 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, go, language-models; Also covers LLM Frameworks; If you're proficient in Go and want to implement LLMs within a familiar ecosystem, consider agency. ### When should I choose langchain-production-starter over agency? Choose langchain-production-starter over agency when langchain-production-starter is primarily Python; agency is Go; Tags unique to langchain-production-starter: chatbot, gpt4, langchain, langchain-python; - You require integration of your AI chatbot with the Telegram platform, as this tool specifically includes instructions to fetch a Telegram key for such integration. ### 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 langchain-production-starter? - If you are not using Python as your primary language since the repository requires installing dependencies with 'pip', making it less suitable if your development is in another language. - Projects that do not require Telegram integration can find this starter kit less relevant, as a significant portion of its setup guide focuses on connecting to Telegram. - If you need to deploy agents without any social media or messaging platform integrations. ### Is agency or langchain-production-starter more popular on GitHub? agency has more GitHub stars (514 vs 477). Stars measure visibility, not whether either tool fits your constraints. ### Are agency and langchain-production-starter open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to agency or langchain-production-starter? GraphCanon lists graph-backed alternatives at [agency alternatives](/tools/neurocult-agency/alternatives) and [langchain-production-starter alternatives](/tools/steamship-core-langchain-production-starter/alternatives) ([agency markdown twin](/tools/neurocult-agency/alternatives.md), [langchain-production-starter markdown twin](/tools/steamship-core-langchain-production-starter/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-steamship-core-langchain-production-starter.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agency or langchain-production-starter? agency: Dormant. langchain-production-starter: 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 agency and langchain-production-starter? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agency trust report](/tools/neurocult-agency/trust); [langchain-production-starter trust report](/tools/steamship-core-langchain-production-starter/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/_