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Langgraph Alternatives
Similar projects and alternatives to langgraph
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ollama
Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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Playwright
Playwright is a framework for Web Testing and Automation. It allows testing Chromium, Firefox and WebKit with a single API.
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qdrant
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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helicone
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
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langfuse
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
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wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
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crewAI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
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plugins
Serverless Plugins – Extend the Serverless Framework with these community driven plugins – (by serverless)
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n8n
n8n is a workflow automation platform for building AI-powered workflows and agents, connecting any AI model to any business system with full control over data, security, and deployment. Build visually or in code while n8n handles infrastructure from prototype to production with fully auditable executions.
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storm
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better langgraph alternative or higher similarity.
langgraph discussion
langgraph reviews and mentions
Posts with mentions or reviews of langgraph.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2026-06-09.
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Wait... FDE Is Not a JavaScript Framework?
LLM / agentic frameworks: LangChain, LlamaIndex, LangGraph, AutoGen, MCP, RAG. (Fiddler and Razorpay both list these. "Hands-on counts, not just awareness," as Razorpay puts it.)
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Agent-Ready Engineering Infrastructure
LangGraph AGENTS.md
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Part 3 — Making Gemma 4 Agents Production-Ready: Guardrails, Structured Outputs, and Self-Healing Systems
Orchestration • https://github.com/langchain-ai/langgraph • https://github.com/langchain-ai/langgraph-example
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Building a Multi-Agent Research System with LangGraph: How I Taught Three AI Agents to Collaborate
Instead, I modeled the system as a directed graph using LangGraph, where each node is an autonomous agent with a single responsibility:
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Designing Multi-Agent Systems with Gemma 4: Supervisor and Worker Pattern
Resources • https://github.com/langchain-ai/langgraph • https://github.com/emarco177/langgraph-course • https://codelabs.developers.google.com/aidemy-multi-agent/instructions
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Multichannel AI Agent: Shared Memory Across Messaging Platforms
Built with Amazon Bedrock AgentCore, AWS CDK, and Strands Agents. Similar patterns can be applied using LangGraph, AutoGen, or the Amazon Bedrock Agents SDK.
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What Is Multi-Agent Orchestration? A Technical Guide for 2026
LangGraph by LangChain provides a graph-based approach to orchestrating agent workflows. It excels at creating complex, non-linear agent interactions.
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Your AI Agent Just Failed in Production. Where Do You Even Start Debugging?
This is documented as bug reports in crewAI and AutoGen, acknowledged as a production reliability gap in LangGraph's RFC#6617, and reported at the model level with OpenAI. Academic research has measured tool hallucination rates as high as 91.1% on challenging subsets.
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I Evaluated Every AI Agent Observability Tool on the Market. Here's What's Actually Missing.
This is documented across every major framework: crewAI, LangGraph, AutoGen, and at the model level with OpenAI. Academic research has found tool hallucination rates as high as 91.1% for specific models under adversarial test conditions.
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95% of AI Pilots Fail. The Ones That Succeed All Do This One Thing.
This isn't theoretical. It's documented across every major framework — crewAI, LangGraph, AutoGen, and even at the model level with OpenAI. Academic research has found tool hallucination rates as high as 91.1% on challenging subsets. LangGraph proposed a "grounding" parameter (RFC #6617) to address this, but hasn't shipped it.
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A note from our sponsor - SaaSHub
www.saashub.com | 11 Jun 2026
Stats
Basic langgraph repo stats
41
33,889
9.9
7 days ago
langchain-ai/langgraph is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of langgraph is Python.
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