--- title: "workflow vs langchain" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/durable-workflow-workflow-vs-langchain-ai-langchain" tools: ["durable-workflow-workflow", "langchain-ai-langchain"] --- # workflow vs langchain *GraphCanon updated Jul 15, 2026* ## Verdict Pick workflow when workflow is primarily PHP; langchain is Python; pick langchain when langchain is primarily Python; workflow is PHP. [workflow](https://durable-workflow.com) reports 1.2k GitHub stars, 70 forks, and 0 open issues, last pushed Jul 15, 2026. [langchain](https://docs.langchain.com/langchain/) has 142k stars, 24k forks, and 419 open issues, last pushed Jul 14, 2026. Figures are from public GitHub metadata via [workflow's repository](https://github.com/durable-workflow/workflow) and [langchain's repository](https://github.com/langchain-ai/langchain). | | [workflow](/tools/durable-workflow-workflow.md) | [langchain](/tools/langchain-ai-langchain.md) | | --- | --- | --- | | Tagline | Core package for defining and running durable workflows and activities. Supports long-running persistent workflows, retries, queues, parallel execution, workflow monitoring, dedicated storage connecti | The agent engineering platform. | | Stars | 1,217 | 141,713 | | Forks | 70 | 23,545 | | Open issues | 0 | 419 | | Language | PHP | Python | | Adopt for | - | LangChain is an open-source platform designed specifically for building agents and applications that leverage large language models (LLMs). It provides a standard framework to develop interoperable components and connect | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT License, allowing free use for both personal and commercial purposes under its stipulated terms. | | Categories | AI Agents, Data & Retrieval, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [workflow](/tools/durable-workflow-workflow.md) | [langchain](/tools/langchain-ai-langchain.md) | | --- | --- | --- | | Open issues (now) | 0 | 419 | | Full report | [trust report](/tools/durable-workflow-workflow/trust.md) | [trust report](/tools/langchain-ai-langchain/trust.md) | ## Decision facts: langchain - **Pricing:** freemium - LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI. - **Adopt for:** LangChain is an open-source platform designed specifically for building agents and applications that leverage large language models (LLMs). It provides a standard framework to develop interoperable components and connect - **License detail:** MIT License, allowing free use for both personal and commercial purposes under its stipulated terms. ## Choose when ### Choose workflow if… - workflow is primarily PHP; langchain is Python. - Tags unique to workflow: background-jobs, bpm, bpmn, durable-functions. - Also covers Data & Retrieval. ### Choose langchain if… - langchain is primarily Python; workflow is PHP. - Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI.. - Tags unique to langchain: agents, ai-agents, anthropic, chatgpt. - * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations. ## When NOT to use workflow - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use langchain - * When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity. - * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth - * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework. ## Common questions ### What is the difference between workflow and langchain? workflow: Core package for defining and running durable workflows and activities. Supports long-running persistent workflows, retries, queues, parallel execution, workflow monitoring, dedicated storage connecti. langchain: The agent engineering platform.. See the comparison table for live GitHub stats and shared categories. ### When should I choose workflow over langchain? Choose workflow over langchain when workflow is primarily PHP; langchain is Python; Tags unique to workflow: background-jobs, bpm, bpmn, durable-functions; Also covers Data & Retrieval. ### When should I choose langchain over workflow? Choose langchain over workflow when langchain is primarily Python; workflow is PHP; Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI.; Tags unique to langchain: agents, ai-agents, anthropic, chatgpt; * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations. ### When should I avoid workflow? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid langchain? * When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity. * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework. ### Is workflow or langchain more popular on GitHub? langchain has more GitHub stars (141,713 vs 1,217). Stars measure visibility, not whether either tool fits your constraints. ### Are workflow and langchain open source? Yes - both are open-source projects on GitHub (workflow: MIT, langchain: MIT). ### Where can I find alternatives to workflow or langchain? GraphCanon lists graph-backed alternatives at [workflow alternatives](/tools/durable-workflow-workflow/alternatives) and [langchain alternatives](/tools/langchain-ai-langchain/alternatives) ([workflow markdown twin](/tools/durable-workflow-workflow/alternatives.md), [langchain markdown twin](/tools/langchain-ai-langchain/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/durable-workflow-workflow-vs-langchain-ai-langchain.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, workflow or langchain? workflow: Very active. langchain: Very active. 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 workflow and langchain? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [workflow trust report](/tools/durable-workflow-workflow/trust); [langchain trust report](/tools/langchain-ai-langchain/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=durable-workflow-workflow`](/api/graphcanon/graph?tool=durable-workflow-workflow) - 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/_