LangGraph vs Lindy

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

	LangGraph Agents	Lindy Agents
Tagline	Stateful, graph-based agent orchestration from LangChain.	No-code AI agents for email, meetings, and the rest of your admin work
Category	Agents	Agents
Pricing	Freemium· Developer: $0 / seat · Plus: $39 / seat · Enterprise: Custom pricing	Paid· Plus: $29.99 /mo per user · Pro: $99.99 /mo per user · Max: $199.99 /mo per user · Enterprise: Contact sales
Model	BYO (Claude / GPT / open)	Frontier LLMs (Anthropic Claude and OpenAI GPT families) selected per task; not user-configurable
Editorial score	8.8 / 10	—
Use cases	stateful agentshuman-in-loopproduction	AI executive assistantInbox triage and email draftingMeeting scheduling over emailMeeting notes and action-item extractionSDR outbound and lead qualificationRecruiting inbound triage and interview bookingCRM data entry and enrichmentCustomer support ticket autoresponseMulti-step workflow automationBrowser computer-use for API-less sites
Pros	Reliable, debuggable agent graphs Built-in persistence + HITL Production-grade Tight LangSmith integration	Visual, no-code agent builder with triggers, branches, and inter-agent hand-offs — non-developers ship working automations quickly Deep first-party integrations with Gmail, Google Calendar, Slack, HubSpot, Salesforce, Zoom, and 3,000+ apps Meeting agent that can join Zoom/Meet calls, transcribe, extract action items, and push them into your CRM or task tracker SMS/iMessage and phone-call channels let you delegate to a Lindy without opening the web app Higher-tier computer-use agent handles sites and workflows that have no API Enterprise controls (SSO/SCIM, HIPAA, shared usage pool, dedicated onboarding) suitable for regulated teams Shared memory across agents so a contact recognised by one Lindy is remembered by the others
Cons	Steeper learning curve than CrewAI Verbose to set up	No free tier — after the 7-day trial every seat is a real monthly cost, and heavier automations push you up the tiers fast Task-credit meter can be opaque; long-running or computer-use flows burn usage in ways that are hard to predict in advance Closed-source and cloud-only — no self-hosted option, and you cannot pin or swap the underlying model Public developer API and webhooks-as-a-first-class-citizen are limited compared with orchestration frameworks like n8n or LangGraph Reliability on long agentic chains still requires human review, especially for outbound email sent in your voice Pricing is per-inbox rather than per-seat, which gets awkward for teams with shared mailboxes
Website	www.langchain.com	www.lindy.ai

Pick LangGraph if

✅ Reliable, debuggable agent graphs
✅ Built-in persistence + HITL
✅ Production-grade
✅ Tight LangSmith integration

Pick Lindy if

✅ Visual, no-code agent builder with triggers, branches, and inter-agent hand-offs — non-developers ship working automations quickly
✅ Deep first-party integrations with Gmail, Google Calendar, Slack, HubSpot, Salesforce, Zoom, and 3,000+ apps
✅ Meeting agent that can join Zoom/Meet calls, transcribe, extract action items, and push them into your CRM or task tracker
✅ SMS/iMessage and phone-call channels let you delegate to a Lindy without opening the web app

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