--- title: "agent-framework vs langchain-hs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-agent-framework-vs-tusharad-langchain-hs" tools: ["microsoft-agent-framework", "tusharad-langchain-hs"] --- # agent-framework vs langchain-hs *GraphCanon updated Aug 11, 2026* ## Verdict Pick agent-framework if the agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments; pick langchain-hs if langChain-HS offers a unique implementation in Haskell, bringing functional programming paradigms to AI development. [agent-framework](https://aka.ms/agent-framework) reports 13k GitHub stars, 2.1k forks, and 685 open issues, last pushed Aug 10, 2026. [langchain-hs](https://tusharad.github.io/langchain-hs/) has 52 stars, 7 forks, and 4 open issues, last pushed Aug 7, 2026. Figures are from public GitHub metadata via [agent-framework's repository](https://github.com/microsoft/agent-framework) and [langchain-hs's repository](https://github.com/tusharad/langchain-hs). | | [agent-framework](/tools/microsoft-agent-framework.md) | [langchain-hs](/tools/tusharad-langchain-hs.md) | | --- | --- | --- | | Tagline | Framework for building and deploying AI agents and multi-agent workflows | Haskell implementation of LangChain | | Stars | 12,718 | 52 | | Forks | 2,143 | 7 | | Open issues | 685 | 4 | | Language | Python | Haskell | | Adopt for | The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments. | LangChain-HS offers a unique implementation in Haskell, bringing functional programming paradigms to AI development. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Developer Tools | Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-framework](/tools/microsoft-agent-framework.md) | [langchain-hs](/tools/tusharad-langchain-hs.md) | | --- | --- | --- | | Open issues (now) | 685 | 4 | | Owner type | Organization | User | | Full report | [trust report](/tools/microsoft-agent-framework/trust.md) | [trust report](/tools/tusharad-langchain-hs/trust.md) | ## Decision facts: agent-framework - **Requirements:** Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages. - **Adopt for:** The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments. ## Decision facts: langchain-hs - **Adopt for:** LangChain-HS offers a unique implementation in Haskell, bringing functional programming paradigms to AI development. ## Choose when ### Choose agent-framework if… - agent-framework is primarily Python; langchain-hs is Haskell. - Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages.. - Tags unique to agent-framework: agent-framework, agentic-ai, agents, multi-agent. - Also covers AI Agents. - Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems. ### Choose langchain-hs if… - langchain-hs is primarily Haskell; agent-framework is Python. - Tags unique to langchain-hs: ai development library, functional programming, haskell, langchain. - Also covers Model Training. - You require a robust AI functionality with a preference or need for functional programming approaches ## When NOT to use agent-framework - Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively. - Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework. ## When NOT to use langchain-hs - When your team lacks experience with functional programming as Haskell requires a different mindset compared to imperative languages. - If performance optimization is the top priority, given that Haskell might not match the speed of languages like Python in all scenarios. ## Common questions ### What is the difference between agent-framework and langchain-hs? agent-framework: Framework for building and deploying AI agents and multi-agent workflows. langchain-hs: Haskell implementation of LangChain. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-framework over langchain-hs? Choose agent-framework over langchain-hs when agent-framework is primarily Python; langchain-hs is Haskell; Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages.; Tags unique to agent-framework: agent-framework, agentic-ai, agents, multi-agent; Also covers AI Agents; Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems. ### When should I choose langchain-hs over agent-framework? Choose langchain-hs over agent-framework when langchain-hs is primarily Haskell; agent-framework is Python; Tags unique to langchain-hs: ai development library, functional programming, haskell, langchain; Also covers Model Training; You require a robust AI functionality with a preference or need for functional programming approaches. ### When should I avoid agent-framework? Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively. Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework. ### When should I avoid langchain-hs? When your team lacks experience with functional programming as Haskell requires a different mindset compared to imperative languages. If performance optimization is the top priority, given that Haskell might not match the speed of languages like Python in all scenarios. ### Is agent-framework or langchain-hs more popular on GitHub? agent-framework has more GitHub stars (12,718 vs 52). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-framework and langchain-hs open source? Yes - both are open-source projects on GitHub (agent-framework: MIT, langchain-hs: MIT). ### Where can I find alternatives to agent-framework or langchain-hs? GraphCanon lists graph-backed alternatives at [agent-framework alternatives](/tools/microsoft-agent-framework/alternatives) and [langchain-hs alternatives](/tools/tusharad-langchain-hs/alternatives) ([agent-framework markdown twin](/tools/microsoft-agent-framework/alternatives.md), [langchain-hs markdown twin](/tools/tusharad-langchain-hs/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/microsoft-agent-framework-vs-tusharad-langchain-hs.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-framework or langchain-hs? agent-framework: Very active. langchain-hs: 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 agent-framework and langchain-hs? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-framework trust report](/tools/microsoft-agent-framework/trust); [langchain-hs trust report](/tools/tusharad-langchain-hs/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=microsoft-agent-framework`](/api/graphcanon/graph?tool=microsoft-agent-framework) - 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/_