# Alternatives to LangGraph

LangGraph is a low-level orchestration framework (by LangChain) for building stateful, multi-agent applications as graphs.

LangGraph ranks #1 of 10 in AI agent frameworks, with an Alt Score of 100. It is licensed under MIT License, open source with paid hosting from $39/seat/month (LangSmith Plus plan, includes LangGraph hosted deployment; usage-based charges apply on top) and available on Linux, macOS, Windows and Web. 13 of 13 checklist rows are verified against a public source.

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

## Where LangGraph stands out

- **Language (JS/TS)** — 3 of 9 apps with a verified answer have this

## Overview

- **Who it's for**: Python and JS/TS developers building complex, long-running, or multi-agent LLM applications who need low-level control over orchestration rather than a high-level black-box agent loop.
- **What you get**: An open-source (MIT-licensed) orchestration framework and runtime that models agents as stateful graphs, with built-in durable execution, checkpointed persistence, human-in-the-loop interrupts, streaming, and memory; a managed hosted deployment option (LangSmith Deployment, formerly LangGraph Platform) plus a Studio IDE are available as paid add-ons for production use.
- **How it works**: Developers define agent logic as nodes (functions that call models or tools) connected by edges that route execution based on shared state, using LangGraph's StateGraph API; the runtime executes the graph step by step, checkpointing state after each step so agents can pause for human review, resume after failures, or persist context across long-running sessions.

## Profile

- **License**: MIT License (verified 2026-07-16)
- **Pricing model**: OSS + paid hosting (verified 2026-07-16)
- **Starts at**: $39/seat/month (LangSmith Plus plan, includes LangGraph hosted deployment; usage-based charges apply on top) (verified 2026-07-16)
- **Platforms**: Linux, macOS, Windows, Web
- **Status**: active (verified 2026-07-16)

## Ranked alternatives

| # | App | Alt Score | Licence | Platforms |
|---|-----|-----------|---------|-----------|
| 1 | [LlamaIndex](https://altcatalog.com/alternatives/llamaindex.md) | 96 | MIT License | ? |
| 2 | [CrewAI](https://altcatalog.com/alternatives/crewai.md) | 93 | MIT | Linux, macOS, Windows, Web |
| 3 | [Haystack](https://altcatalog.com/alternatives/haystack.md) | 93 | Apache-2.0 | ? |
| 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 | LangGraph | LlamaIndex | CrewAI | Haystack | Mastra | Agno |
|---|---|---|---|---|---|---|
| Pricing model | OSS + paid hosting | OSS + paid hosting | OSS + paid hosting | OSS + paid hosting | OSS + paid hosting | OSS + paid hosting |
| Starts at | $39/seat/month (LangSmith Plus plan, includes LangGraph hosted deployment; usage-based charges apply on top) | $50/month (LlamaParse Starter) | Free | Free | $250/month | $150/month |
| License | MIT License | MIT License | MIT | Apache-2.0 | 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) | Yes | Partial | No | 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 LangGraph. Each alternative is sourced on its own page.

- **License**: MIT License — <https://raw.githubusercontent.com/langchain-ai/langgraph/main/LICENSE> (verified 2026-07-16)
  - Quote: “MIT License”
- **Pricing model**: OSS + paid hosting — <https://www.langchain.com/langgraph> (verified 2026-07-16)
  - Note: The core LangGraph library is free/open-source. Hosted deployment (LangSmith Deployment, formerly LangGraph Platform/Cloud) is a separate paid product: langchain.com/pricing lists deployment access st
  - Quote: “Yes. LangGraph is an MIT-licensed open-source library and is free to use.”
- **Starts at**: $39/seat/month (LangSmith Plus plan, includes LangGraph hosted deployment; usage-based charges apply on top) — <https://www.langchain.com/pricing> (verified 2026-07-16)
  - Quote: “Plus For teams building and deploying agents. $39 / seat per month then pay as you go”
- **Platforms**: Linux, macOS, Windows, Web — <https://raw.githubusercontent.com/langchain-ai/langgraph/main/README.md> (verified 2026-07-16)
  - Note: LangGraph is a pip/npm-installable library (Python and JS/TS) with no OS restriction stated in docs, so treated as cross-platform. 'Web' added because LangSmith Studio is a browser-based agent IDE rea
  - Quote: “pip install -U langgraph”
- **Status**: active — <https://api.github.com/repos/langchain-ai/langgraph> (verified 2026-07-16)
  - Note: pushed_at": "2026-07-16T16:29:30Z"" — Repository is not archived ("archived": false) and had a commit pushed the same day as this research (2026-07-16).
- **Open source**: Yes — <https://www.langchain.com/langgraph> (verified 2026-07-16)
  - Quote: “Yes. LangGraph is an MIT-licensed open-source library and is free to use.”
- **Language (Python)**: Yes — <https://raw.githubusercontent.com/langchain-ai/langgraph/main/README.md> (verified 2026-07-16)
  - Quote: “pip install -U langgraph”
- **Language (JS/TS)**: Yes — <https://docs.langchain.com/oss/javascript/langgraph/overview> (verified 2026-07-16)
  - Quote: “npm install @langchain/langgraph @langchain/core”
- **Multi-agent orchestration**: Yes — <https://www.langchain.com/langgraph> (verified 2026-07-16)
  - Quote: “Design diverse control flows — single, multi-agent, hierarchical — all using one framework.”
- **Graph / stateful workflows**: Yes — <https://docs.langchain.com/oss/python/langgraph/graph-api> (verified 2026-07-16)
  - Quote: “At its core, LangGraph models agent workflows as graphs.”
- **Human-in-the-loop**: Yes — <https://docs.langchain.com/oss/python/langgraph/interrupts> (verified 2026-07-16)
  - Quote: “Interrupts allow you to pause graph execution at specific points and wait for external input before continuing. This enables human-in-the-loop patterns where you need external input to proceed.”
- **Streaming support**: Yes — <https://docs.langchain.com/oss/python/langgraph/streaming> (verified 2026-07-16)
  - Quote: “This page covers LangGraph's stream-mode API. It exposes graph execution through stream modes such as `updates`, `values`, `messages`, `custom`, `checkpoints`, `tasks`, and `debug`.”
- **Built-in memory / state persistence**: Yes — <https://docs.langchain.com/oss/python/langgraph/persistence> (verified 2026-07-16)
  - Note: Doc goes on to describe two systems: Checkpointers for short-term thread-scoped memory and Stores for long-term cross-thread memory.
  - Quote: “Persistence lets LangGraph applications keep useful information beyond a single graph run.”
- **Tool / function calling**: Yes — <https://docs.langchain.com/oss/python/langgraph/workflows-agents> (verified 2026-07-16)
  - Quote: “To build a workflow or agent, you can use any chat model that supports structured outputs and tool calling.”
- **Model-agnostic (multi-provider)**: Yes — <https://www.langchain.com/langgraph> (verified 2026-07-16)
  - Quote: “Build and ship agents fast with any model provider.”
- **Observability / tracing integration**: Yes — <https://docs.langchain.com/oss/python/langgraph/overview> (verified 2026-07-16)
  - Note: This is the 'Debugging with LangSmith' benefit listed on the LangGraph overview page.
  - Quote: “Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics.”
- **Managed / hosted deployment**: Yes — <https://docs.langchain.com/langsmith/deployments> (verified 2026-07-16)
  - Note: Same page: "Use the LangGraph CLI and app templates to deploy an application to LangSmith." (formerly branded LangGraph Platform/Cloud).
  - Quote: “LangSmith Deployment is a workflow orchestration runtime purpose-built for agent workloads. It provides the managed infrastructure agents need to run reliably in production at scale, supporting the fu”
- **RAG support**: Yes — <https://docs.langchain.com/oss/python/langgraph/agentic-rag> (verified 2026-07-16)
  - Quote: “Build a custom RAG agent with LangGraph”

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