--- title: "agentops vs langchain-production-starter" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentops-ai-agentops-vs-steamship-core-langchain-production-starter" tools: ["agentops-ai-agentops", "steamship-core-langchain-production-starter"] --- # agentops vs langchain-production-starter *GraphCanon updated Aug 14, 2026* ## Verdict Pick agentops if agentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage; pick langchain-production-starter if langchain-production-starter offers a Python-based starter kit for deploying LangChain agents and integrating them with Telegram. [agentops](https://agentops.ai) reports 5.8k GitHub stars, 612 forks, and 176 open issues, last pushed Jun 25, 2026. [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 [agentops's repository](https://github.com/AgentOps-AI/agentops) and [langchain-production-starter's repository](https://github.com/steamship-core/langchain-production-starter). | | [agentops](/tools/agentops-ai-agentops.md) | [langchain-production-starter](/tools/steamship-core-langchain-production-starter.md) | | --- | --- | --- | | Tagline | Python SDK for AI agent monitoring and LLM cost tracking | Deploy LangChain Agents and connect them to Telegram | | Stars | 5,771 | 477 | | Forks | 612 | 557 | | Open issues | 176 | 4 | | Language | Python | Python | | Adopt for | AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage. | 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, Evaluation & Observability | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentops](/tools/agentops-ai-agentops.md) | [langchain-production-starter](/tools/steamship-core-langchain-production-starter.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 49d | 1114d | | Open issues (now) | 176 | 4 | | Stars delta | Unknown | 0 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/agentops-ai-agentops/trust.md) | [trust report](/tools/steamship-core-langchain-production-starter/trust.md) | ## Shared compatibility - **Python**: [agentops](/tools/agentops-ai-agentops.md) - Python runtime; [langchain-production-starter](/tools/steamship-core-langchain-production-starter.md) - Python runtime ## Decision facts: agentops - **Adopt for:** AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage. ## 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 agentops if… - Tags unique to agentops: ai-agents, benchmarking, cost-tracking. - Also covers Evaluation & Observability. - Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK ### Choose langchain-production-starter if… - 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. - Leaner open-issue backlog (4). ## When NOT to use agentops - If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI - In case self-hosting of components is impractical due to resource constraints ## 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 agentops and langchain-production-starter? agentops: Python SDK for AI agent monitoring and LLM cost tracking. 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 agentops over langchain-production-starter? Choose agentops over langchain-production-starter when Tags unique to agentops: ai-agents, benchmarking, cost-tracking; Also covers Evaluation & Observability; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK. ### When should I choose langchain-production-starter over agentops? Choose langchain-production-starter over agentops when 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; Leaner open-issue backlog (4). ### When should I avoid agentops? If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI In case self-hosting of components is impractical due to resource constraints ### 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 agentops or langchain-production-starter more popular on GitHub? agentops has more GitHub stars (5,771 vs 477). Stars measure visibility, not whether either tool fits your constraints. ### Are agentops and langchain-production-starter open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to agentops or langchain-production-starter? GraphCanon lists graph-backed alternatives at [agentops alternatives](/tools/agentops-ai-agentops/alternatives) and [langchain-production-starter alternatives](/tools/steamship-core-langchain-production-starter/alternatives) ([agentops markdown twin](/tools/agentops-ai-agentops/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/agentops-ai-agentops-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, agentops or langchain-production-starter? agentops: Steady. 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 agentops and langchain-production-starter? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentops trust report](/tools/agentops-ai-agentops/trust); [langchain-production-starter trust report](/tools/steamship-core-langchain-production-starter/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agentops-ai-agentops`](/api/graphcanon/graph?tool=agentops-ai-agentops) - 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/_