Mar 26, 2026

8 Best Lindy Alternatives in 2026

Lindy is a no-code AI agent platform that lets you build custom agents for email triage, lead qualification, meeting scheduling, and research using a visual workflow builder. It connects to 3,000+ apps and supports multiple AI models. But users run into friction: the visual builder gets complex fast, the free tier’s 400 credits burn through quickly with multi-step agents, pricing jumps significantly on paid plans ($49.99/month for Pro), and the learning curve for building reliable multi-step agents is steeper than the marketing suggests. Here are eight alternatives.

1. Carly

Carly is an AI agent platform that works through email. Instead of building agents in a visual workflow builder, you set up agents with a name, email address, instructions, and tool access — then interact through email. No drag-and-drop canvas, no trigger configuration. Email your agent, and it handles the work across 200+ integrations in 40+ categories: CRM (HubSpot, Salesforce, Pipedrive), project management (Asana, Linear, Monday, ClickUp), messaging (Slack, Discord, Teams), file storage (Google Drive, Dropbox, Box), accounting (QuickBooks, Xero, FreshBooks), and more. Each agent gets its own memory and learns over time — writing its own skills and adapting to how you work. See our guide on how to build AI employees for step-by-step setup.

What makes it different from Lindy: Lindy requires building visual workflows with triggers and actions — you’re still designing logic flows, just with AI nodes instead of traditional automation nodes. Carly agents work through natural language instructions via email. No builder needed. You describe what you want, the agent figures out the execution. Lindy is more configurable for complex branching logic; Carly is faster to set up and more natural to interact with day-to-day.

Best for: Professionals who want AI agents that work through email without building visual workflows.

Pricing: $35/month

2. Manus

General-purpose autonomous agent that plans, executes, and delivers complex multi-step tasks. Hand it a project — market research, content creation, data analysis, competitive audits — and it works autonomously. Multi-agent architecture with planning, execution, and verification phases. Manus doesn’t automate a workflow; it takes ownership of a deliverable. It can browse the web, write and execute code, create files, and iterate on its own work. Acquired by Meta for $2 billion in December 2025 — the standalone service continues while being integrated into Facebook, Instagram, and WhatsApp. In January 2026, Manus launched an app publishing feature that lets users build and publish mobile apps without traditional development tools.

What makes it different from Lindy: Manus handles open-ended projects you’d normally do yourself over hours or days. Lindy handles repeatable business workflows with defined triggers and outputs. Manus is better for one-off complex tasks like “research 50 companies in this market and build a comparison spreadsheet with pricing, features, and funding data.” Lindy is better for recurring automations like “when a new lead comes in, enrich the contact, score them, and route to the right sales rep.” They solve fundamentally different problems — project execution vs. workflow automation.

Best for: Power users who want AI to own entire projects autonomously rather than automate specific workflow steps.

Pricing: Free tier with 300 daily credits. Basic $19/month. Plus $39/month. Pro $199/month.

3. Zapier + AI

The original workflow automation platform, now with AI features layered on top. Zapier Agents are autonomous AI teammates — you provide a goal, grant access to data sources, and set a schedule, and the agent reasons, browses the web, and decides the best course of action. Copilot generates automations from natural language descriptions. Canvas gives a bird’s-eye view of complex AI systems. 7,000+ app integrations — far more than any competitor in this list. All plans now include Tables, Forms, and Zapier MCP at no extra cost.

What makes it different from Lindy: Zapier has exponentially more integrations and a significantly more mature platform. You’ll find connectors for niche industry tools, legacy software, and vertical SaaS products that Lindy simply doesn’t support. Lindy’s AI reasoning is more sophisticated for complex decisions within a workflow — it can interpret ambiguous data and make judgment calls. Zapier is better for straightforward automations with massive app coverage where reliability and breadth matter more than AI intelligence. Note that Zapier Agents have separate pricing from standard Zaps — organizations running both need to budget for two subscription types.

Best for: Teams that need reliable workflow automation across thousands of apps without requiring agent-level AI reasoning.

Pricing: Free tier; paid from $19.99/month.

4. Make (formerly Integromat)

Visual automation platform with a node-based builder that gives you more granular control than most competitors. Supports complex branching, loops, iterators, error handling, and data transformations. Native AI modules for OpenAI, Anthropic Claude, Google Gemini, and Stability AI let you build AI content pipelines, research systems, and chatbot integrations without coding. Paid plan users can bring their own API keys to pay AI providers directly for token usage. 3,000+ app integrations. The visual canvas is similar to Lindy’s approach, but Make is focused on deterministic automation rather than AI agents. Particularly strong for scenarios that involve data mapping between systems — syncing inventory across platforms, transforming webhook payloads, or routing data through conditional logic.

What makes it different from Lindy: Make gives you finer control over data flow, transformations, and error handling. You can inspect data at every node, map fields precisely, and handle edge cases explicitly. Lindy’s agents can reason and make judgment calls mid-workflow; Make follows deterministic logic you define. Make is better for complex data processing where you need predictable, repeatable outputs. Lindy is better when you need AI to interpret ambiguous inputs and decide what to do next.

Best for: Technical users who want full control over complex automations with a visual builder and don’t need AI reasoning.

Pricing: Free tier; paid from $9/month.

5. Relevance AI

Enterprise-focused AI agent platform. Build multi-step agent workflows with tool access, knowledge bases, and human-in-the-loop approval gates. Designed for teams that need governance controls — who can deploy agents, what data they can access, and when a human needs to approve an action. Agents can be shared across teams, versioned, and monitored through a centralized dashboard. The “Invent” feature lets you describe what you want and it suggests tools and implementation steps. SOC 2 Type II compliant and GDPR-adherent. Pricing uses a split model since September 2025: Actions (what your agent does) and Vendor Credits (model costs with no markup) — paid plans let you bring your own API keys to bypass vendor credits entirely.

What makes it different from Lindy: Relevance AI is built for enterprise teams with stronger governance, approval workflows, audit trails, and team management. Lindy is more accessible for individual users and small teams but lacks the compliance and oversight features larger organizations require. If you need SOC 2 compliance, role-based access control, and manager approvals before an agent sends a client-facing email, Relevance AI is the better fit. Lindy is faster to get started with for individual use cases.

Best for: Enterprise teams that need AI agents with approval workflows, audit trails, and compliance controls.

Pricing: Free tier (200 actions/month); Pro from $29/month. Team $349/month.

6. n8n

Open-source workflow automation with a self-hosting option. Visual node editor, 500+ integrations (with HTTP Request nodes for connecting to any API), and AI agent nodes for LLM-powered workflows with native nodes for OpenAI, Anthropic, and Cohere. Full control over your data and infrastructure. AI features like LLM nodes and agent support are included with no additional licensing cost. The community is large and active — thousands of shared workflow templates, an active forum, and regular contributions to the open-source project. You can deploy on your own servers, a VPS, or use n8n’s managed cloud.

What makes it different from Lindy: n8n is self-hostable and open-source — you own your data and infrastructure entirely. Lindy is cloud-only with no self-hosting option. n8n requires more technical setup and ongoing maintenance; Lindy is easier to start with. If data sovereignty, on-premise deployment, or GDPR compliance matters, n8n wins. If you want to get started fast without managing infrastructure, Lindy is simpler. n8n’s AI agent nodes let you add LLM reasoning to specific steps, but you’re still building node-based workflows rather than defining agents.

Best for: Technical teams who want self-hosted automation with AI capabilities and full data ownership.

Pricing: Free (self-hosted); cloud from $20/month.

7. Microsoft Copilot Studio

Build custom AI agents within the Microsoft ecosystem. Deep integration with Dynamics 365, Teams, SharePoint, Power Platform, and the full M365 stack. Low-code builder with enterprise security, identity management, and data loss prevention policies baked in. Agents can be deployed in Teams channels, embedded in websites, or connected to phone systems. Work IQ is the intelligence layer that tunes agents for your specific workflows and business needs. Microsoft’s Responsible AI framework is applied to all agent interactions.

What makes it different from Lindy: Copilot Studio is native to Microsoft 365. It has direct access to your SharePoint documents, Teams conversations, Dynamics CRM records, and Exchange mailboxes without API configuration. Lindy connects to Microsoft tools via third-party API, which means slower setup and less depth. If your organization runs on Microsoft, Copilot Studio’s native access is a significant advantage. All Microsoft 365 Copilot licenses include Copilot Studio access for building internal agents at no additional cost. The downside is the cost for standalone use ($200/month for 25,000 Copilot Credits) and the fact that it’s largely locked into the Microsoft ecosystem — if you use Google Workspace or other tools, its value drops.

Best for: Enterprise teams on Microsoft 365 who want custom AI agents with native integration across their existing stack.

Pricing: $200/month for 25,000 Copilot Credits (included with Microsoft 365 Copilot licenses for internal agents). Pay-as-you-go also available.

8. Crew AI

Open-source Python framework for building multi-agent systems. Define agents with specific roles, goals, backstories, and tool access, then orchestrate them to collaborate on tasks. The open-source core (CrewAI OSS) is code-first — you write Python, you control everything. The framework handles agent memory, task delegation, and inter-agent communication. CrewAI also offers a hosted Agent Management Platform (AMP) with a visual editor, advanced monitoring, and enterprise deployment options — so you’re no longer limited to pure code if you want a managed experience.

What makes it different from Lindy: Crew AI started as a pure developer framework, but now offers both code-first and hosted options. The open-source core gives maximum flexibility and customization with Python. The hosted AMP adds a visual editor and monitoring for teams that want managed infrastructure. Lindy is point-and-click from the start; Crew AI gives you more architectural control over how agents collaborate — for example, a researcher agent that hands off findings to an analyst agent that produces a report reviewed by a QA agent. Lindy is better when you want something working in minutes without writing code.

Best for: Developers who want to build custom multi-agent systems with full code control and no platform constraints.

Pricing: Free (open-source, 50 executions/month on hosted free tier); Pro from $25/month. Enterprise custom pricing.

Lindy Alternatives Compared

Tool	Type	AI Reasoning	No-Code	Self-Hostable	Starting Price
Carly	Email-native AI agents	Yes	Yes	No	$35/mo
Manus	Autonomous project agent	Yes	Yes	No	Free / $19/mo
Zapier + AI	Workflow automation + AI	Basic	Yes	No	Free / $19.99/mo
Make	Visual workflow automation	Via modules	Yes	No	Free / $9/mo
Relevance AI	Enterprise AI agents	Yes	Yes	No	Free / $29/mo
n8n	Open-source automation	Via nodes	Yes	Yes	Free / $20/mo
Copilot Studio	Microsoft AI agents	Yes	Low-code	No	$200/mo
Crew AI	Multi-agent framework	Yes	Yes (hosted AMP)	Yes	Free / $25/mo

FAQ

Is Lindy free? Lindy offers a free tier with 400 credits/month, but credit limits are restrictive. Most real workflows burn through credits quickly, especially multi-step agents that call LLMs multiple times per run. A single agent handling email triage might use dozens of credits per day. Paid plans start at $49.99/month (Pro). Alternatives like Carly offer flat-rate pricing at $35/month with no per-action credit metering, and several tools on this list (Zapier, Make, n8n, Crew AI) offer generous free tiers.

Which Lindy alternative is easiest to set up? Carly is the fastest to get running — you write natural language instructions instead of building visual workflows, and agents start working immediately via email. Zapier is also straightforward for simple trigger-action automations. Make and n8n require more technical skill to configure properly. Crew AI’s hosted AMP now offers a visual editor, but the open-source framework still requires Python development and deployment infrastructure.

Which alternative is best for enterprise teams? Relevance AI and Microsoft Copilot Studio are purpose-built for enterprise with governance controls, approval workflows, and compliance features. Copilot Studio is the strongest choice if your organization is already on Microsoft 365. Relevance AI is more platform-agnostic and works well for teams using mixed tooling.

Can I build multi-agent systems without Lindy? Yes. Crew AI gives you full code control over multi-agent orchestration in Python. Carly lets you create multiple specialized agents — each with its own email, instructions, and tool access — that handle different business functions like sales, support, and operations. Relevance AI also supports multi-agent workflows with enterprise guardrails and human-in-the-loop approvals. For a broader look at what’s possible, see our guide on the best AI agent platforms.

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