The best Lindy AI alternative for building and deploying AI agents
Lindy popularized the idea of 'AI employees' — agents you assemble from templates and triggers inside a dedicated builder. It's a clean way in, but you're working inside Lindy's interface and its model of what an agent can be.
Matagi meets you where you already build. You describe the agent to Claude, Cursor, or Codex, and Matagi provisions the infrastructure and wires the tools. The agent is code-defined and yours — not locked inside a proprietary builder.
Lindy is a no-code AI agent platform where you build 'AI employees' from templates, triggers, and a visual flow builder. It's aimed at non-technical teams who want assistants for email, scheduling, and customer-facing tasks.
| Matagi | Lindy | |
|---|---|---|
| How you build | Describe the agent in plain English to Claude, Cursor, or Codex. It builds and deploys it for you. | Assemble agents from templates and triggers inside Lindy's visual flow builder. |
| Where the agent lives | Code-defined and portable — it runs on infrastructure Matagi provisions, and the logic is real code. | Inside Lindy's platform, shaped by what the builder exposes. |
| Infrastructure | Servers, databases, memory, inboxes, crawlers, and search auto-provisioned and wired together. | Managed for you within Lindy's product, with less direct control over the backend. |
| Integrations | 3,000+ tools plus anything with an API or MCP. Credentials are proxied, never in the code. | A curated set of integrations focused on common assistant tasks. |
| AI & model access | Proxied Claude, GPT, Gemini, and Perplexity built in — or bring your own keys. | Models are managed inside the platform with limited choice of provider. |
| Pricing model | Flat from $49/mo. Runtime, LLM calls, and infrastructure billed at cost with zero markup. | Task/credit-based pricing that scales with agent usage. |
When Lindy is the better fit
- You want a fully guided, template-first builder and never touch code or coding agents.
- Your needs map closely to Lindy's prebuilt assistant templates.
- You prefer everything to live inside a single managed product.
When Matagi is the better fit
- You build with Claude, Cursor, or Codex and want your agents defined in real code.
- You need deeper customization, custom tools, or your own MCPs.
- You want infrastructure and model access handled without a closed builder.
/01What's the best alternative to Lindy AI?
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What's the best alternative to Lindy AI?
+If you want to build and deploy AI agents using the coding tools you already use — Claude, Cursor, or Codex — Matagi is a strong Lindy alternative. Instead of assembling agents in a proprietary builder, you describe what you want and Matagi builds a code-defined agent with infrastructure and integrations provisioned for you.
/02How is Matagi different from Lindy?
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How is Matagi different from Lindy?
+Lindy is a closed, template-first builder for 'AI employees'. Matagi is open-ended: agents are defined in real code, run on infrastructure Matagi provisions, and connect to 3,000+ tools through a secure proxy. You get more control and portability without managing the backend yourself.
/03Do I need to code to use Matagi instead of Lindy?
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Do I need to code to use Matagi instead of Lindy?
+No. You describe the agent in plain English to a coding agent and it does the building. The difference is the result is real, portable code rather than a flow locked inside one platform — and you can book a call to build your first agent live.
/04Can Matagi build the same kinds of agents as Lindy?
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Can Matagi build the same kinds of agents as Lindy?
+Yes — email, scheduling, support, and operations agents are all well within scope, and because Matagi agents are code-defined they can go well beyond template-based assistants when you need them to.
See it for yourself
Describe what you want done in plain English. Matagi provisions the infrastructure, wires the integrations, and deploys your agent. Free 7-day trial, no card required.
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