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LangChain

Agent Frameworks & Orchestration

Last updated · Compiled from public sources with automated enrichment

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Widely used open-source framework for building LLM-powered applications.

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Details

Category
Agent Frameworks & Orchestration
Founded
2022
Status
Active
Open source
Yes
Pricing
Freemium
Funding stage
Series A
Total raised
—
Popularity
Rising
Modality
Code
GitHub stars
141,584 ★

Relationships

27 of 35 confirmed by two independent sources, 8 under review · 32 backed by a published source.

competes with6
  • AutoGenAutoGen competes with LangChain for building LLM-powered agent applications.
  • GriptapeGriptape competes with LangChain in AI agent orchestration frameworks.
  • Haystack (deepset)Both are frameworks for building LLM applications with RAG pipelines
  • HumanloopCompetes in the prompt management and LLM evaluation space.
  • LlamaIndexBoth are popular frameworks for building LLM applications, with LlamaIndex focusing on data indexing and retrieval.
  • Microsoft Semantic KernelCompeting open-source framework for LLM orchestration
integrates with20
  • AnthropicLangChain supports Anthropic's Claude models
  • BrowserbaseOfficial integration for browser automation
  • ComposioComposio provides tools and integrations for LangChain agents.
  • CrewAIDeep integration for tool usage and agents
  • DifySupports LangChain as a core integration for orchestration
  • E2BE2B provides sandbox execution for LangChain agents
  • GiskardSupports testing of LLM chains from LangChain.
  • HeliconeProvides observability for LangChain LLM applications
  • LakeraLakera Guard integrates with LangChain for LLM application security.
  • LangfuseNative integration for tracing
  • Letta (MemGPT)Integrates with LangChain for agent orchestration
  • Neo4jUsed for GraphRAG applications
  • OllamaLangChain supports Ollama as a local model provider
  • OpenAILangChain provides integrations for OpenAI models
  • PineconePinecone is a supported vector store in LangChain
  • PromptLayerPromptLayer integrates with LangChain for logging and monitoring LLM calls.
  • QdrantLLM framework integration
  • Redis (vector search)Redis is a supported vector store in LangChain for RAG
  • TraceloopSupports tracing for LangChain applications
  • WeaviateVector store integration
used by5
  • AgentGPTAgentGPT uses LangChain components for agent orchestration and LLM application workflows.
  • All Hands AI (OpenHands)Uses LangChain in some early implementations
  • FlowiseBuilt on top of LangChain for LLM orchestration
  • n8nIntegrates with LangChain for AI agent workflows
  • TemporalLangChain uses Temporal for durable execution of agent workflows
powered by1
  • LangSmithLangSmith is a platform built by LangChain for debugging and monitoring LLM applications
powers3
  • LangflowBuilt on LangChain framework for agent and RAG flows
  • LangSmithLangSmith is the official observability platform for LangChain.
  • SuperagentSuperagent's framework is built on LangChain components.

References

Published sources supporting the relationships above.

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