Lindy vs AutoGPT
A side-by-side comparison to help you choose the right tool.
74
Lindy scores higher overall (74/100)
But the best choice depends on your specific needs. Compare below.
| Feature | Lindy | AutoGPT |
|---|---|---|
| Our score | 74 | 65 |
| Pricing | Free tier with limited tasks. Pro starts around $49/month with thousands of monthly tasks and full integrations. Business and Enterprise tiers add team seats, priority support, and custom workflows. | Free and open-source. Requires your own API keys for underlying LLM providers. Cloud-hosted version in development. |
| Free plan | Yes | Yes |
| Best for | founders and operators offloading inbox and calendar work, sales teams automating prospect research and outreach, small businesses building customer-facing AI agents without engineers, consultants who want a 24/7 phone and SMS assistant | developers and researchers experimenting with autonomous AI agents, technical users who want to automate multi-step research workflows, AI enthusiasts exploring the boundaries of agent-based systems, teams prototyping agent-based automation before building custom solutions |
| Platforms | web | desktop, web |
| API | Yes | No |
| Languages | en | en |
| Pros |
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| Visit site | Visit site |
Lindy
74
- Pricing
- Free tier with limited tasks. Pro starts around $49/month with thousands of monthly tasks and full integrations. Business and Enterprise tiers add team seats, priority support, and custom workflows.
- Free plan
- Yes
- Best for
- founders and operators offloading inbox and calendar work, sales teams automating prospect research and outreach, small businesses building customer-facing AI agents without engineers, consultants who want a 24/7 phone and SMS assistant
- Platforms
- web
- API
- Yes
- Languages
- en
AutoGPT
65
- Pricing
- Free and open-source. Requires your own API keys for underlying LLM providers. Cloud-hosted version in development.
- Free plan
- Yes
- Best for
- developers and researchers experimenting with autonomous AI agents, technical users who want to automate multi-step research workflows, AI enthusiasts exploring the boundaries of agent-based systems, teams prototyping agent-based automation before building custom solutions
- Platforms
- desktop, web
- API
- No
- Languages
- en
74Choose Lindy if:
- You are founders and operators offloading inbox and calendar work
- You are sales teams automating prospect research and outreach
- You are small businesses building customer-facing AI agents without engineers
- You want to start free
65Choose AutoGPT if:
- You are developers and researchers experimenting with autonomous AI agents
- You are technical users who want to automate multi-step research workflows
- You are AI enthusiasts exploring the boundaries of agent-based systems
- You want to start free
FAQ
- What is the difference between Lindy and AutoGPT?
- Lindy is a no-code ai assistant platform that lets you build personal agents which handle email, calendar, meetings, and outreach over text, voice, and integrations with hundreds of apps. AutoGPT is open-source autonomous ai agent framework that chains together llm calls to complete multi-step tasks independently, pioneering the concept of self-directed ai agents.
- Which is cheaper, Lindy or AutoGPT?
- Lindy: Free tier with limited tasks. Pro starts around $49/month with thousands of monthly tasks and full integrations. Business and Enterprise tiers add team seats, priority support, and custom workflows.. AutoGPT: Free and open-source. Requires your own API keys for underlying LLM providers. Cloud-hosted version in development.. Lindy has a free plan. AutoGPT has a free plan.
- Who is Lindy best for?
- Lindy is best for founders and operators offloading inbox and calendar work, sales teams automating prospect research and outreach, small businesses building customer-facing AI agents without engineers, consultants who want a 24/7 phone and SMS assistant.
- Who is AutoGPT best for?
- AutoGPT is best for developers and researchers experimenting with autonomous AI agents, technical users who want to automate multi-step research workflows, AI enthusiasts exploring the boundaries of agent-based systems, teams prototyping agent-based automation before building custom solutions.