Alternatives to LangGraph
Framework for stateful, multi-agent workflows
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.
LangGraph is a low-level orchestration framework (by LangChain) for building stateful, multi-agent applications as graphs.
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.
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.
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.
Where LangGraph stands out
Verified capabilities most alternatives don't have.
Why people leave LangGraph
Dashed reasons are sourced facts; the rest are opinions. Vendors can dispute.
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Ranked alternatives
Ordered by Alt Score. Click any score to see the breakdown.
LlamaIndex is a data framework for building LLM applications and agent workflows over your own data (RAG + agents).
CrewAI is a Python framework for orchestrating role-playing, autonomous AI agents that collaborate as a crew.
Haystack (by deepset) is an open-source framework for building production LLM applications, RAG pipelines and agents.
Mastra is an open-source TypeScript framework for building AI agents, workflows and RAG, from the team behind Gatsby.
Agno (formerly Phidata) is a full-stack Python framework for building multi-agent systems with memory, knowledge and tools.
AutoGen is an open-source Microsoft framework for building multi-agent applications with conversable, collaborating agents.
Semantic Kernel is a Microsoft open-source SDK for integrating LLMs and building AI agents in C#, Python and Java.
The OpenAI Agents SDK is a lightweight, provider-agnostic framework for building multi-agent workflows with handoffs and guardrails.
Pydantic AI is a Python agent framework that brings type-safe, structured outputs and dependency injection to LLM apps.
Feature comparison
Rows come from the AI agent frameworks checklist (17 rows). Human-verified cells only. ? means the value has not been verified.
| AI agent frameworks checklist | LangGraph | LlamaIndex | CrewAI | Haystack | Mastra | Agno |
|---|---|---|---|---|---|---|
| Pricing model | ||||||
| Starts at | ||||||
| License | ||||||
| Platforms | ||||||
| Open source | ||||||
| Language (Python) | ||||||
| Language (JS/TS) | ||||||
| Multi-agent orchestration | ||||||
| Graph / stateful workflows | ||||||
| Human-in-the-loop | ||||||
| Streaming support | ||||||
| Built-in memory / state persistence | ||||||
| Tool / function calling | ||||||
| Model-agnostic (multi-provider) | ||||||
| Observability / tracing integration | ||||||
| Managed / hosted deployment | ||||||
| RAG support |
Every fact and feature listed for LangGraph is verified against its own pages. Each alternative is sourced on its own page.
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License MIT License verified 2026-07-16
MIT License
https://raw.githubusercontent.com/langchain-ai/langgraph/main/LICENSE -
Pricing model OSS + paid hosting verified 2026-07-16
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
Yes. LangGraph is an MIT-licensed open-source library and is free to use.
https://www.langchain.com/langgraph -
Starts at $39/seat/month (LangSmith Plus plan, includes LangGraph hosted deployment; usage-based charges apply on top) verified 2026-07-16
Plus For teams building and deploying agents. $39 / seat per month then pay as you go
https://www.langchain.com/pricing -
Platforms Linux, macOS, Windows, Web verified 2026-07-16
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
pip install -U langgraph
https://raw.githubusercontent.com/langchain-ai/langgraph/main/README.md -
Status active verified 2026-07-16
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).
https://api.github.com/repos/langchain-ai/langgraph -
Open source Yes verified 2026-07-16
Yes. LangGraph is an MIT-licensed open-source library and is free to use.
https://www.langchain.com/langgraph -
Language (Python) Yes verified 2026-07-16
pip install -U langgraph
https://raw.githubusercontent.com/langchain-ai/langgraph/main/README.md -
Language (JS/TS) Yes verified 2026-07-16
npm install @langchain/langgraph @langchain/core
https://docs.langchain.com/oss/javascript/langgraph/overview -
Multi-agent orchestration Yes verified 2026-07-16
Design diverse control flows — single, multi-agent, hierarchical — all using one framework.
https://www.langchain.com/langgraph -
Graph / stateful workflows Yes verified 2026-07-16
At its core, LangGraph models agent workflows as graphs.
https://docs.langchain.com/oss/python/langgraph/graph-api -
Human-in-the-loop Yes verified 2026-07-16
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.
https://docs.langchain.com/oss/python/langgraph/interrupts -
Streaming support Yes verified 2026-07-16
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`.
https://docs.langchain.com/oss/python/langgraph/streaming -
Built-in memory / state persistence Yes verified 2026-07-16
Doc goes on to describe two systems: Checkpointers for short-term thread-scoped memory and Stores for long-term cross-thread memory.
Persistence lets LangGraph applications keep useful information beyond a single graph run.
https://docs.langchain.com/oss/python/langgraph/persistence -
Tool / function calling Yes verified 2026-07-16
To build a workflow or agent, you can use any chat model that supports structured outputs and tool calling.
https://docs.langchain.com/oss/python/langgraph/workflows-agents -
Model-agnostic (multi-provider) Yes verified 2026-07-16
Build and ship agents fast with any model provider.
https://www.langchain.com/langgraph -
Observability / tracing integration Yes verified 2026-07-16
This is the 'Debugging with LangSmith' benefit listed on the LangGraph overview page.
Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics.
https://docs.langchain.com/oss/python/langgraph/overview -
Managed / hosted deployment Yes verified 2026-07-16
Same page: "Use the LangGraph CLI and app templates to deploy an application to LangSmith." (formerly branded LangGraph Platform/Cloud).
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
https://docs.langchain.com/langsmith/deployments -
RAG support Yes verified 2026-07-16
Build a custom RAG agent with LangGraph
https://docs.langchain.com/oss/python/langgraph/agentic-rag
FAQ
Yes. AutoGen, Semantic Kernel and OpenAI Agents SDK have a free tier or are fully free. Free-tier limits in the comparison table are verified and dated.
LlamaIndex, CrewAI and Haystack — every license claim links its source.