📖 The AI Tool Bible

LangGraph vs Lindy

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

 
LangGraph
Agents
Lindy
Agents
TaglineStateful, graph-based agent orchestration from LangChain.No-code AI agents for email, meetings, and the rest of your admin work
CategoryAgentsAgents
PricingFreemium· Free open-source; LangGraph Platform paidPaid· 7-day free trial (full Plus access) / Plus $49.99 per month (2 inboxes, standard usage) / Pro $99.99 per month (3 inboxes, 3x usage, computer use) / Max $199.99 per month (5 inboxes, 7x usage) / Enterprise custom (shared usage, SSO/SCIM, HIPAA, dedicated onboarding). Annual billing knocks roughly 17 percent off.
ModelBYO (Claude / GPT / open)Frontier LLMs (Anthropic Claude and OpenAI GPT families) selected per task; not user-configurable
Editorial score8.8 / 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
Websitewww.langchain.comwww.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