LangChain vs Knock
The framework for building LLM apps — chains, agents, RAG, LangGraph
vs. Notifications-as-a-service: in-app feeds, email, push, SMS, chat via one API
Pricing tiers
LangChain
OSS (MIT)
MIT-licensed core library. Free forever. Python + JS.
$0 base (usage-based)
LangSmith (see entry)
Observability layer — Developer free, Plus $39/seat. Separate platform.
$0 base (usage-based)
LangGraph Platform — Developer
Deploy LangGraph agents as an API. Free tier — limited execution minutes.
$0 base (usage-based)
LangGraph Platform — Plus
$39/seat/mo (tied to LangSmith Plus). More execution credit. Production features.
$39/mo
Enterprise
Custom. Self-host, dedicated support, SSO.
Custom
Knock
Developer
Free forever. 10K messages, 500 guide users, 500 AI credits/month.
$0 base (usage-based)
Starter
$250/mo. 50K messages, 2.5K guide users, 2K AI credits. Remove branding.
$250/mo
Enterprise
Custom pricing. White-label, i18n, data warehouse, Datadog, SCIM, SAML, HIPAA/BAA.
Custom
Free-tier quotas head-to-head
Comparing oss on LangChain vs starter on Knock.
| Metric | LangChain | Knock |
|---|---|---|
| guide users | — | 2500 users |
| guide users overage | — | $0.05/user USD/user |
| messages monthly | — | 50000 messages/mo |
| messages overage | — | $0.005/message USD/message |
Features
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).
Knock · 13 features
- AI Agents — Autonomous notification drafting & workflow generation.
- Batch + Digest — Group notifications into digests on schedule or window.
- Chat — Slack, Microsoft Teams, Discord.
- Email — Send via SendGrid/Postmark/Resend/Mailgun/AWS SES as relays.
- Guides — In-product messaging, announcements, modals, banners.
- i18n / Localization — Translate templates by user locale.
- In-App Feed — Notification inbox with React/Vue/iOS/Android drop-in components.
- Multi-tenancy — Per-tenant branding, preferences, quiet hours.
- Outbound Webhooks — Subscribe to delivery events.
- Preferences — User + tenant preference center with granular controls.
- Push — iOS (APNs), Android (FCM), Expo, Web Push.
- SMS — Twilio, MessageBird, Telnyx, Vonage as providers.
- Workflows — Visual notification orchestration (branch, batch, delay, throttle).
Developer interfaces
| Kind | LangChain | Knock |
|---|---|---|
| CLI | — | Knock CLI |
| SDK | @langchain/core (Node), langchain (Python), langgraph (JS), langgraph (Python), LangServe | knockapi (Python), knockapi (Ruby), knock-elixir, knock-go, knock-java, @knocklabs/node, @knocklabs/react |
| REST | LangGraph Platform | Knock REST API |
| MCP | — | Knock MCP Server |
| OTHER | — | Outbound Webhooks |
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