# Alternatives to Haystack

Haystack (by deepset) is an open-source framework for building production LLM applications, RAG pipelines and agents.

Haystack ranks #4 of 10 in AI agent frameworks, with an Alt Score of 93. It is licensed under Apache-2.0 and open source with paid hosting from Free. 13 of 13 checklist rows are verified against a public source.

Source: https://altcatalog.com/alternatives/haystack/
Category: AI agent frameworks

## Overview

- **Who it's for**: Python developers building production-ready RAG systems, semantic search, and LLM agents who want an open-source orchestration framework with explicit, inspectable control over retrieval, tools, and generation.
- **What you get**: An open-source (Apache-2.0) Python framework for composing modular pipelines and agents out of reusable components, with built-in support for tool/function calling, multi-agent composition, streaming, state/memory, and tracing integrations (OpenTelemetry, Langfuse, Datadog, MLflow); deepset's Haystack Enterprise Platform adds a paid managed-cloud or self-hosted layer with a visual pipeline builder, testing/evaluation tools, and production observability on top of the open-source core.
- **How it works**: Developers assemble pipelines as directed (multi)graphs of components — retrievers, generators, tools, memory, and custom logic — that can branch, loop, and run concurrently, or use Haystack's built-in Agent component to run a tool-calling loop that plans, invokes tools, and updates shared state until a stopping condition is met.

## Profile

- **License**: Apache-2.0 (verified 2026-07-16)
- **Pricing model**: OSS + paid hosting (verified 2026-07-16)
- **Starts at**: Free (verified 2026-07-16)
- **Platforms**: ?
- **Status**: active (verified 2026-07-16)

## Ranked alternatives

| # | App | Alt Score | Licence | Platforms |
|---|-----|-----------|---------|-----------|
| 1 | [LangGraph](https://altcatalog.com/alternatives/langgraph.md) | 100 | MIT License | Linux, macOS, Windows, Web |
| 2 | [LlamaIndex](https://altcatalog.com/alternatives/llamaindex.md) | 96 | MIT License | ? |
| 3 | [CrewAI](https://altcatalog.com/alternatives/crewai.md) | 93 | MIT | Linux, macOS, Windows, Web |
| 4 | [Mastra](https://altcatalog.com/alternatives/mastra.md) | 93 | Apache License 2.0 | ? |
| 5 | [Agno](https://altcatalog.com/alternatives/agno.md) | 86 | Apache-2.0 | ? |
| 6 | [AutoGen](https://altcatalog.com/alternatives/autogen.md) | 86 | MIT | Linux, macOS, Windows |
| 7 | [Semantic Kernel](https://altcatalog.com/alternatives/semantic-kernel.md) | 86 | MIT | Linux, macOS, Windows |
| 8 | [OpenAI Agents SDK](https://altcatalog.com/alternatives/openai-agents-sdk.md) | 83 | MIT | ? |
| 9 | [Pydantic AI](https://altcatalog.com/alternatives/pydantic-ai.md) | 79 | MIT | ? |

Alt Score = Verified coverage (90%) + Visibility (10%). See https://altcatalog.com/how-alt-score-works/

## Feature comparison

Legend: Yes / No / Partial / ? (not verified).

| AI agent frameworks checklist | Haystack | LangGraph | LlamaIndex | CrewAI | Mastra | Agno |
|---|---|---|---|---|---|---|
| Pricing model | OSS + paid hosting | OSS + paid hosting | OSS + paid hosting | OSS + paid hosting | OSS + paid hosting | OSS + paid hosting |
| Starts at | Free | $39/seat/month (LangSmith Plus plan, includes LangGraph hosted deployment; usage-based charges apply on top) | $50/month (LlamaParse Starter) | Free | $250/month | $150/month |
| License | Apache-2.0 | MIT License | MIT License | MIT | Apache License 2.0 | Apache-2.0 |
| Platforms | ? | Linux, macOS, Windows, Web | ? | Linux, macOS, Windows, Web | ? | ? |
| Open source | Yes | Yes | Yes | Yes | Yes | Yes |
| Language (Python) | Yes | Yes | Yes | Yes | No | ? |
| Language (JS/TS) | No | Yes | Partial | No | Yes | ? |
| Multi-agent orchestration | Yes | Yes | Yes | Yes | Yes | Yes |
| Graph / stateful workflows | Yes | Yes | Yes | Yes | Yes | Yes |
| Human-in-the-loop | Yes | Yes | Yes | Yes | Yes | Yes |
| Streaming support | Yes | Yes | Yes | Yes | Yes | Yes |
| Built-in memory / state persistence | Yes | Yes | Yes | Yes | Yes | Yes |
| Tool / function calling | Yes | Yes | Yes | Yes | Yes | Yes |
| Model-agnostic (multi-provider) | Yes | Yes | Yes | Yes | Yes | Yes |
| Observability / tracing integration | Yes | Yes | Yes | Yes | Yes | Yes |
| Managed / hosted deployment | Yes | Yes | Yes | Yes | Yes | Yes |
| RAG support | Yes | Yes | Yes | Yes | Yes | Yes |

## Sources

Sources for Haystack. Each alternative is sourced on its own page.

- **License**: Apache-2.0 — <https://raw.githubusercontent.com/deepset-ai/haystack/main/LICENSE> (verified 2026-07-16)
  - Quote: “Apache License Version 2.0, January 2004”
- **Status**: active — <https://api.github.com/repos/deepset-ai/haystack> (verified 2026-07-16)
  - Note: archived": false" — GitHub API also shows "pushed_at": "2026-07-16T15:58:46Z" — a commit pushed the same day as this research.
- **Pricing model**: OSS + paid hosting — <https://www.deepset.ai/pricing> (verified 2026-07-16)
  - Note: Haystack itself is free and open source (Apache-2.0, see license claim). deepset's Enterprise Platform tier for managed/self-hosted deployment is custom-priced ('Custom'/'contact us'), confirming a fr
  - Quote: “Great for teams building production grade AI applications Custom”
- **Starts at**: Free — <https://www.deepset.ai/pricing> (verified 2026-07-16)
  - Note: Only the entry-level 'Studio' tier has a public price ($0, 'sign up for free'). The paid 'Enterprise' tier is listed as 'Custom' / 'contact us' with no public price, so there is no publicly disclosed
  - Quote: “$0”
- **Open source**: Yes — <https://raw.githubusercontent.com/deepset-ai/haystack/main/README.md> (verified 2026-07-16)
  - Quote: “Haystack is an open-source AI orchestration framework for building production-ready LLM applications in Python.”
- **Language (Python)**: Yes — <https://raw.githubusercontent.com/deepset-ai/haystack/main/README.md> (verified 2026-07-16)
  - Quote: “Haystack is an open-source AI orchestration framework for building production-ready LLM applications in Python.”
- **Language (JS/TS)**: No — <https://raw.githubusercontent.com/deepset-ai/haystack/main/README.md> (verified 2026-07-16)
  - Note: README and docs describe Haystack exclusively as a Python framework (pip/uv/conda install); no JS/TS SDK is mentioned on any fetched page.
  - Quote: “Haystack is an open-source AI orchestration framework for building production-ready LLM applications in Python.”
- **Multi-agent orchestration**: Yes — <https://docs.haystack.deepset.ai/docs/agents> (verified 2026-07-16)
  - Quote: “Multi-agent systems: Wrap an Agent as a ComponentTool to build coordinator/specialist architectures.”
- **Graph / stateful workflows**: Yes — <https://docs.haystack.deepset.ai/docs/pipelines> (verified 2026-07-16)
  - Quote: “The pipelines in Haystack are directed multigraphs of different Haystack components and integrations.”
- **Human-in-the-loop**: Yes — <https://docs.haystack.deepset.ai/docs/agents> (verified 2026-07-16)
  - Quote: “Human-in-the-loop: Intercept tool calls for human review before execution.”
- **Streaming support**: Yes — <https://docs.haystack.deepset.ai/docs/agents> (verified 2026-07-16)
  - Quote: “Streaming: Stream token-by-token output with a streaming_callback.”
- **Built-in memory / state persistence**: Yes — <https://docs.haystack.deepset.ai/docs/agents> (verified 2026-07-16)
  - Quote: “State management: Share typed data between tools, accumulate results across iterations, and surface them in the result dict using state_schema.”
- **Tool / function calling**: Yes — <https://docs.haystack.deepset.ai/docs/agents> (verified 2026-07-16)
  - Quote: “Haystack has a built-in Agent component that manages the full tool-calling loop — it calls the LLM, invokes tools, updates state, and continues until a stopping condition is met.”
- **Model-agnostic (multi-provider)**: Yes — <https://raw.githubusercontent.com/deepset-ai/haystack/main/README.md> (verified 2026-07-16)
  - Quote: “Integrate with OpenAI, Mistral, Anthropic, Cohere, Hugging Face, Azure OpenAI, AWS Bedrock, local models, and many others. Swap models or infrastructure components without rewriting your system.”
- **Observability / tracing integration**: Yes — <https://docs.haystack.deepset.ai/docs/tracing> (verified 2026-07-16)
  - Note: Same page lists supported tracers: OpenTelemetry, MLflow, Datadog, Langfuse, and Weights & Biases Weave.
  - Quote: “Haystack provides out-of-the-box support for several backends, and you can also quickly implement support for additional providers of your choosing.”
- **Managed / hosted deployment**: Yes — <https://www.deepset.ai/products-and-services/haystack-enterprise-platform> (verified 2026-07-16)
  - Quote: “Deploy to managed cloud or self-host on your infrastructure.”
- **RAG support**: Yes — <https://docs.haystack.deepset.ai/docs/intro> (verified 2026-07-16)
  - Quote: “Haystack is an open-source AI framework for building production-ready AI Agents, powerful RAG applications and scalable multimodal search systems.”

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Ranked by verified data, never by who paid. https://altcatalog.com/trust/