Dify vs Lindy: pricing, features and which to choose

Dify is an application platform from LangGenius, founded in March 2023 according to the company. Its visual workflow canvas connects language models with business systems and covers application building, deployment, monitoring, and knowledge retrieval. LangGenius said in March 2026 that Dify ran on more than 1.4 million machines, reached users in more than 175 countries and regions, and had more than 2,000 teams and 280 enterprises. The announcement also reported a $30 million Series Pre-A led by HSG, with GL Ventures, Alt-Alpha Capital, 5Y Capital, Mizuho Leaguer Investment, and NYX Ventures participating. These figures describe company-reported scale and funding. Dify’s central appeal is control over the application layer, model connections, deployment location, and operational interface.

A typical Dify project begins with an app type such as Chatflow, Workflow, Agent, or text-generation application. The builder connects prompt and LLM nodes, conditional logic, code, HTTP requests, tools, and human-input steps on a canvas. Knowledge bases ingest documents, create embeddings, retrieve passages, and can rerank results for RAG responses. Teams add a provider key, test runs in the visual interface, inspect logs, annotate answers, and publish a web app or call the application through a REST API. Plugins and marketplace integrations add providers and tools. The API documentation covers chat messages, workflow execution, file uploads, conversations, feedback, annotations, knowledge bases, and streaming events. This makes Dify useful for prototypes that need a defined path toward production deployment.

Dify’s main trade-off is operational choice: Cloud reduces administration, while self-hosting puts upgrades, security, storage, and provider credentials under the customer’s control. Community use must comply with the Dify Open Source License, whose source-available terms can restrict some commercial deployments. Langflow and Flowise are closer visual builders, while n8n focuses on broad automation and event integration. Dify fits teams needing a model-flexible LLM application layer, RAG, application APIs, and cloud or self-hosted deployment. Choose n8n when AI is one step inside a wider business process, or Langflow when a developer-oriented orchestration canvas is the priority. Pick Dify if your team needs to build and operate AI applications with visible workflows, knowledge bases, and provider choice.

Lindy is a hosted AI assistant and team agent made by the company founded by Flo Crivello. The product launched in March 2023 as an assistant for calendars, email, travel, prospecting, and meeting summaries, then expanded into AI employees and a shared teammate. Lindy says people can use it privately through email, iMessage, Slack DMs, and the web app, while teams can mention it in shared Slack channels. Its current product includes persistent workspace context, shared meetings and files, scheduled routines, and connected workplace tools. Lindy is closed source and hosted by the vendor. Its history includes an aborted Meta acquisition and a return to independent operation on September 1, 2026. The company does not publish a current employee count or funding total.

A typical Lindy workflow starts by connecting an inbox, calendar, meeting service, CRM, or another supported tool. A user can request inbox triage, a meeting brief, a draft reply, a CRM update, or a recurring report. In Slack, teammates mention Lindy in a channel or thread and follow the work there. Lindy can record meetings, create notes, organize shared folders, answer questions about earlier calls, and run scheduled routines such as daily briefs. The service supports more than 1,500 integrations according to its current product pages, plus hosted MCP servers and direct API credentials. Reads occur without approval, while outside actions can wait for approval in Slack. Administrators can set workspace connections, spend caps, and action guardrails for shared work.

Lindy's main tradeoff is variable credit consumption combined with per-seat billing. A colleague who uses Lindy, including through a Slack mention, can require a paid seat, and a large task can consume much of an allocation. Monthly credits stop when the pool is empty, although administrators can buy top-ups. Reclaim AI focuses more closely on calendar and time planning, while Lindy covers broader workplace tools and Slack-based team work. Zapier Agents emphasizes configurable automation across app connections, whereas Lindy emphasizes conversational delegation, meetings, memory, and approvals. Microsoft Copilot Studio is more closely tied to Microsoft's enterprise stack and governance controls. Pick Lindy if your work spans inboxes, meetings, Slack, and several business tools, and you accept hosted per-seat billing.