8 Lindy AI Alternatives to Build AI Agents in 2026

According to Microsoft’s 2025 Work Trend Index, 81% of leaders expect AI agents to be moderately or extensively integrated into their company’s AI strategy within the next 12–18 months.

As businesses rely more on AI agents, they need platforms that can handle complex workflows without becoming too expensive or difficult to manage. Lindy AI is a popular option for building AI agents, but it may not be the ideal solution for everyone.

To help you find a platform that better fits your needs, we’ve created this list of eight best Lindy AI alternatives.

Why Teams Look for Lindy AI Alternatives

Reviews on G2 highlight several limitations:

• High subscription costs: Some reviewers find Lindy expensive, especially as usage increases or teams need more advanced capabilities.
• Steep learning curve: Learning how to set up agents and more complex automations can take time, especially for users without previous automation experience.
• Limited features: Some users report limited features and functionality, which can make Lindy less suitable for large teams with complex needs.
• AI inaccuracies: Reviewers note that some AI-generated outputs can be inaccurate or inconsistent, so additional review may be required.

How We Selected the Lindy AI Alternatives

A solid Lindy alternative needs to do more than generate responses or connect to business apps. It should let you build agents with clear instructions, give them access to the right tools and company data, and control the actions they can take.

We evaluated more than 20 AI agent builders and selected eight based on the following weighted criteria:

• Agent building capabilities (30%): We looked at how easily teams can create, configure, and deploy agents using each platform’s official product pages and documentation.
• Tools and integrations (25%): We compared how agents connect to business applications, APIs, databases, knowledge sources, and other external tools.
• Agent orchestration and automation (20%): We assessed support for multi-step workflows, triggers, multi-agent systems, tool calling, and recurring automations.
• Context and knowledge (15%): We reviewed how agents access company data through RAG, memory, shared workspaces, documents, and other knowledge sources.
• Control and governance (10%): We compared permissions, human approval steps, workflow guardrails, debugging tools, and other options for managing agent behavior.

8 Lindy AI Alternatives to Build AI Agents

Before we get into the details, here is a quick overview of the best Lindy AI alternatives:

1. Hops

Hops is an AI workspace where your team can work alongside an AI agent across conversations, documents, tables, and connected business applications. It includes @Hops as a built-in AI agent and lets you create skills for specific roles and recurring workflows, such as sales, marketing, finance, legal, and support.

You can configure each skill with its own instructions, app connections, and access permissions, then add it to the Spaces where it needs to work. Once added, the agent can use the Space’s shared conversations, documents, tables, and other context to understand ongoing work and complete tasks without being briefed from scratch each time.

Key Features:

1. Custom agents: Hops lets you build the agent’s skills around specific roles and recurring workflows. You can start from scratch with a blank agent, use a role-based template such as HR or Marketing, or describe what you need the agent to do and let Hops generate its initial setup.

• Define its role and behavior: Add instructions covering what the agent should do, how it should respond, what it should prioritize, and what it should avoid.
• Connect specific apps: Give the agent access to the tools it needs through Hops’ catalog of 2,000+ integrations.
• Control agent access: Choose who can manage the agent and which team members can add it to Spaces.
• Customize the agent by Space: Set global instructions or override them with Space-specific instructions for particular teams, clients, or projects.
• Deploy skills where they are needed: Add an agent to a Space and tag it with @name whenever you want it to work on a task.

2. Spaces: Hops lets you create Spaces for different teams, clients, or projects, and connect the agent with the relevant people, conversations, files, and tools.

• Give Hops standing context: Create a Space Context document with project goals, priorities, previous decisions, instructions, output preferences, and other information that the agent reads automatically.
• Work alongside the agent in conversations: Use chats, DMs, and threads to collaborate with team members and Hops.
• Control where the agent works: Have it operate only in Spaces where it’s been invited.
• Apply shared permissions: Use Space-level permissions to control what both people and the agent can access.

3. Shared memory: Hops keeps decisions, changes, and conversations connected to the work where they happened. The agent can use this context when handling future tasks, while team members can inspect, edit, or remove what is stored in memory.

4. 2,000+ integrations: Hops connects with more than 2,000 business applications, including Slack, Microsoft Teams, Gmail, Google Drive, GitHub, Jira, Linear, Intercom, Figma, HubSpot, Salesforce, and Notion. You can configure connections for skills, giving each one access to the tools it requires.

5. Automations: The agent can run recurring workflows based on a schedule or trigger. You can describe an automation in plain language, while sensitive actions such as sending emails, making payments, or changing records can be held for human approval.

Pricing

Hops offers a Free plan that includes the whole suite of features and 5,000 AI teammate credits. There’s also an Enterprise plan with custom pricing.

2. Relevance AI

Relevance AI is an enterprise AI agent platform that lets you build, deploy, and manage specialized agents for different business tasks. It is well-suited for automating repeatable workflows across sales, customer success, marketing, HR, and operations while keeping those agents connected to existing business systems.

Key Features:

• Flexible agent creation: Allows you to create agents by describing what you need in plain language, cloning a pre-built agent from its Marketplace, or building one from scratch for greater control
• Custom tool building: Lets you give agents specific tools to call APIs, run LLM prompts, search databases, send emails, or execute custom code, with tools reusable across multiple agents
• RAG-powered knowledge: Grounds agents in company-specific information from documents, websites, databases, Google Drive, SharePoint, Notion, and other sources so they can complete tasks using relevant context
• Flexible agent triggers: Starts agents automatically based on schedules, events in connected apps, webhooks, API calls, or other tools, allowing workflows to run without a manual prompt

Pricing

Relevance AI offers an Enterprise plan with custom pricing.

3. n8n

n8n is a workflow automation platform that lets you build AI agents and automated workflows by connecting steps in a visual workflow editor, while still allowing you to add JavaScript or Python when you need more control. It is particularly useful for building flexible, production-ready AI automations that connect models, business data, and applications across an organization.

Key Features:

• Multi-agent systems: Lets you coordinate multiple specialized agents, such as research, writing, and QA agents, so they can work together to execute complex processes
• RAG agents: Allows you to connect agents to documents, wikis, and internal data so they can retrieve current, relevant information before generating responses or taking actions
• Planning agents: Enables you to build agents that break larger tasks into smaller steps, determine what should happen next, and decide which agent should handle each step
• 600+ AI agent templates: Provides a library of community-built templates for use cases such as AI chatbots, RAG assistants, web research, autonomous crawling, and working with business data

Pricing

n8n offers three paid plans starting at €24 (~$23) per month, and an Enterprise plan with custom pricing.

4. Gumloop

Gumloop is an AI agent platform that helps teams build, deploy, and manage agents that automate work across their business tools. It brings company knowledge, connected apps, and reusable skills together so agents can easily access what they need to complete tasks.

Key Features:

• Agent builder: Lets you create AI agents by choosing a model, connecting relevant tools, and writing instructions that define how they should complete tasks
• Self-improving agents: Allows agents to reflect on previous runs and improve how they complete tasks over time, reducing the need for manual adjustments
• Flexible agent triggers: Enables agents to run on schedules, respond to events in connected apps, or use custom AI-built triggers that monitor multiple services and fire when specific conditions are met
• Built-in code execution: Gives agents a secure sandbox where they can run Python and shell commands for tasks such as data analysis, calculations, file processing, and custom automation logic

Pricing

Gumloop offers a Pro plan starting at $37 per month and an Enterprise plan with custom pricing.

5. Zapier

Zapier is an AI automation platform that lets you connect various apps, automate workflows, and build AI agents that can take actions across tools you already use. You can use it to automate tasks such as processing documents, qualifying leads, routing support tickets, and handling requests across different apps.

Key Features:

• Natural-language agent builder: Lets you create a custom agent by describing what should trigger it, what tasks it should complete, and which apps it should use
• Knowledge sources: Allows you to give agents access to company information from files and connected apps, including PDFs, DOCX files, CSVs, and other supported sources
• Web search and browsing: Gives agents built-in tools to search the web and visit public webpages, allowing them to gather outside information as part of a task without requiring another app integration
• Multi-agent workflows: Enables one agent to call other specialized agents, so a larger task can be divided into smaller jobs that different agents complete independently before the main agent brings the results together

Pricing

Zapier offers a Free plan, two paid plans starting at $29.99 per month, and an Enterprise plan with custom pricing.

6. Stack AI

Stack AI is an enterprise AI platform that lets teams build agents that connect to company data, tools, and business processes to complete tasks and automate workflows. It is built mainly for IT and enterprise teams that need to run AI across areas such as finance, compliance, customer service, and operations.

Key Features:

• Visual workflow builder: Lets you build agents by dragging and connecting components such as LLMs, apps, knowledge bases, logic, and utilities
• Human-in-the-loop controls: Allows you to add human approval at critical points in an agent workflow, so sensitive actions can be reviewed before the agent continues
• LLM flexibility: Supports models from providers such as OpenAI, Anthropic, Google, Meta, Mistral, xAI, as well as local models
• 100+ enterprise integrations: Connects agents with tools such as Salesforce, HubSpot, Slack, SharePoint, Jira, Workday, and Google Drive, allowing them to read, write, and execute actions within existing business systems

Pricing

Stack AI offers a Free plan and an Enterprise plan with custom pricing.

7. CrewAI

CrewAI is an AI agent platform that helps businesses build and run agents that can work together to automate complex, multi-step tasks. It supports both no-code and code-based development, so it suits both business teams and developers.

Key Features:

• Role-based multi-agent crews: Lets you give agents specific roles, goals, tools, and responsibilities, then organize them into crews that collaborate and delegate tasks to complete more complex work
• Deterministic Flows: Allows you to control how agent workflows run with defined execution paths, conditional logic, state management, and error handling
• Hundreds of agent tools: Gives agents ready-made tools for web search, website interaction, vector databases, code execution, and more, with MCP support for connecting additional tools and data sources
• Cognitive memory: Enables agents to retain useful information across tasks and runs, resolve conflicting memories, forget outdated information, and recall relevant context when needed

Pricing

CrewAI offers a Free plan and an Enterprise plan with custom pricing.

8. Make

Make is a visual automation platform for building and managing workflows and AI agents that connect business apps, data, and AI models. It works well for teams that want to automate multi-step processes and have AI agents take actions across their existing tools from one platform.

Key Features:

• Natural-language agent building: Lets you describe what you want an agent to do in plain language, then automatically creates a workflow that you can review and edit before deployment
• Reasoning panel: Shows the decisions an agent makes, including the tools it uses and the paths it takes, making it easier to test, debug, and refine its behavior
• Agent guardrails and approvals: Allows you to combine AI decision-making with fixed workflow logic, set rules, add manual approval steps, and stop an agent at specific points
• Reusable and ready-made agents: Lets you build an agent once and reuse it, or start with ready-made agents from Make’s Library of Agents and adapt them to your own processes

Pricing

Make offers a Free plan with 1,000 credits per month, three paid plans starting at $10.59 per month for 10,000 credits, and an Enterprise plan with custom pricing.

How to Choose the Best Lindy AI Alternative

The optimal Lindy AI alternative depends on how you want to build agents, how much control you need over their workflows, and how closely they have to work with your existing tools and company knowledge.

If you need technical control over agent logic and workflows, platforms like n8n, CrewAI, and Stack AI are strong options. For teams focused primarily on business process automation, tools like Zapier, Make, Gumloop, and Relevance AI are the go-tos. They make it easy to connect agents to existing apps and automate recurring work.

However, if you want a shared workspace where people can work together with an agent, using the same ongoing context, Hops is the best choice.

With Hops, you can:

• Build specialized agent skills for roles and recurring workflows, with their own instructions, tools, and permissions.
• Bring people and the agent together in Spaces organized around specific teams, clients, or projects.
• Give the agent persistent context through Space Context, shared conversations, documents, tables, files, and memory.
• Connect the agent to 2,000+ business applications while controlling which tools it can access.
• Automate recurring work with scheduled and event-based workflows while keeping sensitive actions behind human approval.
• Keep agent work in shared conversations, so team members can collaborate with the agent and review its output in the same place.

Start your free trial today and build a custom AI agent that can automate workflows, use your business context, and take action across your existing tools.