{
    "products": [
        {
            "slug": "haystack",
            "name": "Haystack",
            "kind": "resource",
            "website": "https://haystack.deepset.ai/",
            "page": "https://listme.name/software/haystack",
            "tagline": "Apache-2.0 framework for pipelines, retrieval and agent workflows",
            "summary": "Haystack is an Apache-2.0 open-source framework from deepset for building LLM applications, retrieval pipelines, semantic search and agent workflows. Its repository states it is built for production-ready applications.",
            "developer": "deepset",
            "platforms": [
                "windows",
                "macos",
                "linux"
            ],
            "pricing": "open-source",
            "price_note": "Free Apache-2.0 framework; the repository lists no fee",
            "free_to_use": true,
            "open_source": true,
            "license": "Apache-2.0",
            "source": "https://github.com/deepset-ai/haystack",
            "strengths": [
                "Apache-2.0 licensed with source on GitHub",
                "Explicit pipelines for retrieval and routing",
                "Supports agent workflows"
            ],
            "limits": [
                "Pipeline concepts take time to learn",
                "Narrower agent focus than LangChain"
            ],
            "checked": "2026-10-10",
            "connected_to_publisher": false,
            "overview": "Haystack is an open-source AI orchestration framework that builds LLM applications from modular pipelines. Its repository describes explicit control over retrieval, routing, memory and generation, and it supports agent workflows. The project is licensed under Apache 2.0.\n\nHaystack is best known for retrieval-augmented generation and semantic search, which are among the topics listed on its GitHub page. It sits between a full agent library and a retrieval toolkit, and it is more pipeline-oriented than CrewAI or the OpenAI Agents SDK. Teams that want explicit, inspectable pipeline graphs for search may prefer it to LangChain."
        },
        {
            "slug": "langchain",
            "name": "LangChain",
            "kind": "resource",
            "website": "https://www.langchain.com/",
            "page": "https://listme.name/software/langchain",
            "tagline": "MIT-licensed framework for LLM apps and agents, with LangGraph",
            "summary": "LangChain is an MIT-licensed framework for building LLM applications and agents, with the LangGraph library for agent workflows. Its company also sells LangSmith, a hosted tracing and evaluation service.",
            "developer": "LangChain",
            "platforms": [
                "self-hosted"
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            "pricing": "open-source",
            "price_note": "MIT-licensed framework is free; LangSmith hosted service has Developer, Plus and Enterprise plans",
            "free_to_use": true,
            "open_source": true,
            "license": "MIT",
            "source": "https://github.com/langchain-ai/langchain",
            "strengths": [
                "MIT licensed with a large community",
                "LangGraph for agent workflows",
                "Optional LangSmith tracing and evaluation"
            ],
            "limits": [
                "Large API surface can be heavy for small projects",
                "Hosted tracing requires the separate LangSmith plans"
            ],
            "checked": "2026-10-10",
            "connected_to_publisher": false,
            "overview": "LangChain is a framework for building LLM applications and agents, with abstraction layers that let developers work at a high or low level. Its repository is MIT licensed, and its topics list Python and TypeScript. The LangGraph library in the same organization is used for lower-level agent workflows.\n\nThe framework itself has no fee. The LangSmith pricing page lists a Developer plan at $0 per seat with pay-as-you-go traces, a Plus plan at $39 per seat and Enterprise on custom terms. LangChain suits teams that want a large ecosystem and hosted observability. Smaller libraries such as Pydantic AI or smolagents can be simpler for focused projects."
        }
    ],
    "differences": [
        "Only Haystack runs on Windows.",
        "Only Haystack runs on macOS.",
        "Only Haystack runs on Linux."
    ],
    "shared_rankings": [
        {
            "list": "ai-agent-tooling",
            "name": "AI agent frameworks and tooling",
            "page": "https://listme.name/best/ai-agent-tooling",
            "of": 12,
            "results": [
                {
                    "product": "haystack",
                    "rank": 6,
                    "score": 85,
                    "verdict": "Explicit, inspectable pipelines for retrieval and agent workflows under Apache 2.0. Pipeline design takes time to learn, and its agent focus is narrower than LangChain's.",
                    "best_for": "Retrieval pipelines with explicit control",
                    "spec": {
                        "language": "Python",
                        "agent_style": "Explicit pipelines",
                        "hosted_service": "Not listed"
                    }
                },
                {
                    "product": "langchain",
                    "rank": 1,
                    "score": 92,
                    "verdict": "The largest ecosystem here, with LangGraph for agent workflows and LangSmith for tracing on paid tiers. Its breadth can be heavy for small projects, which is where the smaller frameworks fit better.",
                    "best_for": "Large agent projects that need many integrations",
                    "spec": {
                        "language": "Python and TypeScript",
                        "agent_style": "Graph workflows with LangGraph",
                        "hosted_service": "LangSmith paid plans"
                    }
                }
            ]
        }
    ],
    "ranks_higher_in_closest_shared_list": "langchain",
    "page": "https://listme.name/compare/haystack-vs-langchain",
    "json": "https://listme.name/api/v1/compare/haystack-vs-langchain.json",
    "notes": [
        "Scores are editorial and only comparable inside one list. Products with connected_to_publisher true receive a disclosed ranking lift: https://listme.name/methodology"
    ],
    "source": "https://listme.name",
    "license": "Free to read and cite with attribution to listme.name.",
    "docs": "https://listme.name/developers"
}