Kinde vs LangChain

Kinde

LangChain

Kinde · 14 features

• API Scopes — OAuth scopes for your APIs, enforced server-side (Plus+).
• B2B Organizations — Multi-tenant orgs with user roles, invitations, feature flags per org.
• Custom Domain — Host auth at auth.yourbrand.com. Free tier includes this.
• Enterprise SSO — SAML 2.0 + OIDC enterprise connections (Plus unlimited).
• Feature Flags — Built-in feature flags with per-user/org overrides. No separate service needed.
• Kinde AI — AI-assisted query and insights over your Kinde data.
• Kinde Billing (preview) — Built-in subscription billing linked to users/orgs. Stripe under the hood.
• Machine-to-Machine — Client credentials grant for service-to-service auth.
• Multi-Factor Auth — TOTP authenticator apps, SMS, email, passkey.
• Passwordless — Email code + passkey (WebAuthn).
• Roles & Permissions — RBAC with roles → permissions. Assigned per user or per organization.
• SCIM Provisioning — Directory provisioning from IdPs (Scale tier).
• Sign-in Widget — Hosted pages + themeable widget for login/signup. Customizable with CSS.
• Webhooks — Event webhooks: user.created/updated, organization events, MFA, etc.

LangChain · 18 features

• Agents — Tool-using agents with reasoning loops.
• Chains (LCEL) — LangChain Expression Language — pipe primitives into chains.
• Checkpointers (LangGraph) — Persist agent state to SQL, Mongo, Redis, Postgres.
• Document Loaders — 150+ loaders for PDF, HTML, Notion, Google Drive, S3, GitHub, etc.
• Human-in-the-loop — Pause agent for approval, then resume.
• LangGraph — Stateful graph-based agent runtime. Durable, replayable, human-in-the-loop.
• LangGraph Platform — Managed hosting for LangGraph agents with state persistence.
• LangGraph Studio — Desktop IDE for debugging agent graphs.
• LangServe — Deploy chains as FastAPI endpoints.
• Memory — Buffer, summary, entity, vector memory stores.
• Output Parsers — Structured JSON, Pydantic schemas, function calling.
• Prompt Templates — Templating + partial filling + output parsers.
• RAG (Retrieval-Augmented Generation) — Standard patterns + 50+ retrievers.
• Streaming — First-class streaming at every layer.
• Subgraphs — Compose agent graphs hierarchically.
• Text Splitters — Recursive, token, semantic splitters for chunking.
• Tools — 400+ pre-built tools (web search, code, databases, APIs).
• Vector Store Integrations — 60+ vector DBs (Pinecone, Chroma, Weaviate, PGVector, Qdrant, Milvus).