LangChain

LangChain

Unclaimed verified 4 oct 2026
[  score · 48  ]

Observe, Evaluate, and Deploy Reliable AI Agents

Pricing: Freemium - $0 (Developer plan); $39/seat/month (Plus plan) Company: LangChain Founded: 2023 Last verified: 2026-10-04
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Updated

TL;DR

LangChain is an open-source framework and agent-engineering ecosystem for building LLM applications, RAG systems, tool-using agents, and stateful workflows. It is primarily for software teams that need extensibility and production controls; its key differentiator is the combination of LangChain/LangGraph orchestration with LangSmith tracing, evaluation, debugging, and deployment capabilities.

What Users Actually Pay

No user-reported pricing yet.

Our Take

LangChain has a strong market position as one of the broadest ecosystems for developing LLM-powered applications. Its integration surface covers model providers, vector stores, retrievers, tools, document loaders, and deployment components, allowing teams to assemble sophisticated applications without implementing every connector from scratch.

Pros

  • + Broad integrations with model providers, APIs, vector stores, databases, retrievers, and tools.
  • + Fast prototyping for RAG, structured-output, and multi-step agent workflows.
  • + Modular architecture allows teams to swap models and infrastructure components.
  • + LangGraph adds stateful orchestration, persistence, streaming, retries, and human-in-the-loop patterns.
  • + LangSmith provides valuable tracing, evaluation, prompt management, and debugging for agent applications.

Cons

  • - Steep learning curve, especially for advanced workflows and multiple product components.
  • - Documentation and discoverability remain inconsistent despite recent improvements.
  • - Abstractions can obscure underlying behavior and may be unnecessary for simple LLM applications.
  • - Users report version churn, integration breakage, and troubleshooting overhead.
  • - The relationship among LangChain, LangGraph, LangSmith, Deep Agents, Fleet, and deployment products can be difficult for new users to understand.

Agent Readiness

77/100

LangChain has high readiness for engineering-led autonomous-agent development. Its public libraries, REST APIs, OpenAPI specifications, SDKs, streaming support, MCP capabilities, LangGraph state management, and LangSmith observability provide a strong foundation for tool-using, long-running, evaluated agents. Zapier offers a dedicated integration, while Make and n8n are generally better supported through HTTP, webhooks, MCP, or custom configuration rather than turnkey native connectors. The main limitations are ecosystem complexity, documentation discoverability, integration maintenance, and the engineering effort required to configure production deployments securely and reliably.

API Surface100
Public APIRESTHTTPSDKStreamingMCPFree TieropenApi
Protocol Support55
MCP (2 tools)
SDK Availability70
npm: langchain (official)npm: @langchain/aws (official)npm: @langchain/protocol (official)npm: @langfuse/langchain (official)npm: langfuse-langchain (official)npm: @langchain/pinecone (official)npm: @langchain/react (official)npm: @ai-sdk/langchain (official)npm: @osohq/langchain (official)npm: langchainhub (official)pypi: langchain (official)
Integration Ecosystem50
ZapierWebhooksLangChain integrations ecosystem covering model providers, vector stores, retrievers, document loaders, tools, and data sourcesMCP serversOpenTelemetryHTTP integrations for Make and n8nLangSmith prompt webhooks
Developer Experience100
Docs: goodSandboxVersioningChangelogStatus Page

Last checked Sep 22, 2026

MCP Integrations

17 servers2 tools2,894 total uses
io.github.doc2mcp/langchainio.github.doc2mcp/langchain
Bring a keyofficialRemoteHigh match

Needs a self-provisionable API key

MCP server for langchain documentation, generated by doc2mcp.

Secured LangChain OpenAI Agent
Secured LangChain OpenAI Agenta2a/authenticated-mcp-agent
smitheryRemote

Secured LangChain OpenAI Agent: composes bcrypt + langchain-core + mcp + openai + opentelemetry-sdk — crypto, orchestration, agent-protocol, llm-client, observability via A2A + MCP.

2,894 uses
2 tools
  • invokeJWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion. Unauthenticated calls are rejected.
  • selftestFREE, no payment required. Runs this agent's real capability on a fixed canned input and returns the genuine result, an honest assertion grade, and the full trust manifest (signed Agent Card, JWKS, governance/licence chain, safety posture) with a proof link for every claim. Intended for registries, graders and auditors: this is behavioural evidence, not a self-description.
ai.getvda/encrypted-langchain-token-agentai.getvda/encrypted-langchain-token-agent
officialRemote

Encrypted LangChain Token Agent

ai.getvda/google-oauth-langchain-agentai.getvda/google-oauth-langchain-agent
officialRemote

Google OAuth LangChain Agent

ai.getvda/google-sign-in-langchain-agentai.getvda/google-sign-in-langchain-agent
officialRemote

Google Sign-In LangChain Agent

ai.getvda/langchain-login-and-token-agentai.getvda/langchain-login-and-token-agent
officialRemote

LangChain Login and Token Agent

ai.getvda/llm-observability-orchestration-agent-langchainai.getvda/llm-observability-orchestration-agent-langchain
officialRemote

LLM Observability & Orchestration Agent (Langchain)

ai.getvda/llm-observability-orchestration-agent-langchain-communityai.getvda/llm-observability-orchestration-agent-langchain-community
officialRemote

LLM Observability & Orchestration Agent (LangChain Community)

io.github.baixianger/langchain-mcpio.github.baixianger/langchain-mcp
official

LangChain/LangGraph/DeepAgents knowledge + LangGraph agent debugging (Polly-like)

ai.getvda/llm-orchestration-agent-langchain-anthropicai.getvda/llm-orchestration-agent-langchain-anthropic
officialRemote

LLM Orchestration Agent (Langchain Anthropic)

ai.getvda/llm-orchestration-agent-langchain-coreai.getvda/llm-orchestration-agent-langchain-core
officialRemote

LLM Orchestration Agent (Langchain Core)

ai.getvda/llm-orchestration-agent-langchain-openaiai.getvda/llm-orchestration-agent-langchain-openai
officialRemote

LLM Orchestration Agent (Langchain Openai)

ai.getvda/oauth-langchain-openai-agentai.getvda/oauth-langchain-openai-agent
officialRemote

OAuth LangChain OpenAI Agent

ai.getvda/structured-output-mcp-agent-langchain-coreai.getvda/structured-output-mcp-agent-langchain-core
officialRemote

Structured Output MCP Agent (Langchain Core)

ai.getvda/traced-openai-langchain-agentai.getvda/traced-openai-langchain-agent
officialRemote

Traced OpenAI LangChain Agent

ai.getvda/encrypted-langchain-session-agentai.getvda/encrypted-langchain-session-agent
officialRemote

Encrypted LangChain Session Agent

ai.getvda/llm-orchestration-agent-langchainai.getvda/llm-orchestration-agent-langchain
officialRemote

LLM Orchestration Agent (Langchain)

Last checked Sep 9, 2026

[ features ]

Compliance & Security

Security certifications, compliance features, and access control capabilities.

SOC 2

SOC 2 Type I or Type II certification.

Type II
ISO 27001

ISO 27001 information security certification.

[  yes  ]
GDPR Tools

Built-in tools for GDPR compliance (data export, deletion, consent).

[  yes  ]
Audit Trail

Complete audit log of all data changes.

no
Role-Based Access Control

Granular permissions based on user roles.

[  yes  ]
SSO Support

Single Sign-On integration support.

Both

Deployment & Onboarding

Features related to ease, speed, and simplicity of initial setup and deployment.

One-Click Deployment

Supports deployment with a single click or minimal steps.

[  yes  ]
Deployment Time

Estimated time to get a basic instance running.

Manual setup required
No SSH Required

Deployment without needing SSH access or manual server configuration.

no
Git Auto-Deploys

Automatic deployments triggered by Git pushes.

no
Self-Hosting Support

Can be run fully self-hosted on user hardware/servers.

[  yes  ]

Integrations & Compatibility

Supported technologies, stacks, channels, and ecosystems.

Supported Messaging Channels

Chat apps for interacting with agents/apps.

[  None  ]
Supported Runtimes/Stacks

Application stacks or languages supported.

[  Python  ] [  LLM Apps  ]
Supported Cloud Providers

Cloud platforms for hosting.

[  Any/Self-Managed  ]

Scaling & Operations

Features for managing, scaling, monitoring, and maintaining deployments.

Autoscaling

Automatic scaling based on load.

[  yes  ]
Managed Backups

Automated, managed backup services.

no
Built-in Monitoring

Dashboard for logs, performance, health metrics.

[  yes  ]
Managed Databases

Supported managed DB services.

[  None  ]
Team Management

Multi-user/team collaboration features.

[  yes  ]

Pricing & Plans

Pricing structure, tiers, and value propositions.

Free Tier

Offers a usable free plan or tier.

[  yes  ]
Lifetime Deal Option

One-time payment for perpetual access.

no
Bring Your Own Server

Use existing servers/infra without lock-in.

[  yes  ]
Unlimited Sites

No limits on number of sites/apps/projects.

[  yes  ]
Has Free Tier or Trial

Availability of a free plan or trial with usable outputs.

[  yes  ]
Starting Price (USD)

Entry-level price for basic generation package.

0
Uses Credit-Based System

Whether usage is limited by credits rather than unlimited in plans.

no
Supports Team Plans

Discounted or bulk options for teams/enterprises.

[  yes  ]
Free Plan Available

Offers a permanent free plan with usable limits

[  yes  ]
Monthly Invoice Limit (Free)

Maximum invoices allowed per month on free plan

0
Starting Annual Price

Lowest annual subscription price in EUR

468

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