AgentWorks vs Lindy: The European AI Agent Choice

If you are choosing an AI agent platform from Europe, the decision often comes down to more than features: where your data lives, which models you can run, and whether you can see what each run actually costs. This is an honest look at how AgentWorks and Lindy compare on those points.

Two different starting points

Lindy is a US-based platform for building AI assistants and automations, popular for connecting apps and triggering workflows from everyday tools. It is capable and broad, and many teams reach for it first because of its large template library.

AgentWorks takes a different starting point. It is an EU-native AI workforce platform, built in the Netherlands and founded in 2025, designed from the ground up around European data residency and the EU AI Act. Instead of asking you to assemble everything yourself, it ships with 50+ pre-built AI agents available from the Free plan, so a new team can start working on day one rather than building from an empty canvas.

Both platforms let you automate real work. The question is which trade-offs match your priorities, and that is where the differences get concrete.

European compliance as a default, not an add-on

For teams handling customer or employee data inside the EU, compliance is usually the first filter. AgentWorks is designed to make this the default path rather than a configuration project. It offers EU data residency, using EU model endpoints where they are available, and works only with no-training, zero-retention model contracts so your prompts are not used to train third-party models.

Governance is built into how agents run. Every agent carries a per-agent risk classification, state-changing actions require human-in-the-loop approval, and every step is written to an immutable, append-only audit trail you can export as CSV or JSON. Personally identifiable information is masked at the gateway before any request reaches a model. A DPA is available on request.

One important nuance: AgentWorks describes itself as EU AI Act-ready, not blanket "compliant." Actual obligations depend on your specific use case and risk tier, so the platform gives you the classification and controls to meet them rather than claiming compliance on your behalf. You can read the full approach on the compliance page.

Model choice and the AUTO router

A practical difference between the two platforms is how much control you have over which model runs each task. AgentWorks is deliberately multi-model. You can use GPT-5 and GPT-5 mini, Claude Opus, Sonnet and Haiku, Gemini Pro and Flash with up to a 1M-token context window, and Mistral Large, plus image models including Gemini image (Nano Banana) and OpenAI image. Enterprise customers can add local and small language models for fully private inference. The full list lives on the models page.

In multi-LLM chat you can switch models mid-conversation, and lean on tools like web search, image generation, cited Deep Research, code execution, and your own company knowledge. You can even create and export Word, PowerPoint, Excel, and PDF files in a live canvas and open them in Google Drive or OneDrive.

The AUTO router ties this together: each message is sent to the cheapest model capable of handling it, so you are not paying premium rates for simple tasks. This kind of routing is central to controlling spend at scale, and it is on by default.

Cost transparency you can actually see

Pricing clarity is where many teams feel the difference over time. AgentWorks bills tokens at cost plus 10% from a single, transparent euro wallet. You see live per-run spend, and you can set budgets at organisation, team, and user level so nobody is surprised by a bill.

The plans are straightforward. Free costs nothing and includes a one-time €5 credit, the 50+ agents, up to three integrations, a personal knowledge base, and the AUTO router. Pro is €39/month with a €10/month balance included, adding custom agents, the visual workflow builder, scheduled agents, and both personal and organisation knowledge bases. Team is €49/seat/month with an extra €10/month balance and shared chat, knowledge, and admin controls. Enterprise is custom and adds advanced engineer-built agents, self-hosting or private cloud, SSO/SAML, an SLA, and local models. The full breakdown is on the pricing page.

Building agent workflows

Both platforms are built to do more than chat. In AgentWorks you can assemble multi-agent pipelines, for example research to draft to review to publish, and run them on a daily, weekly, or monthly schedule on Pro and above, or trigger them from a webhook. Every step is logged and carries its own risk class, which keeps automation auditable rather than opaque.

Knowledge grounding is handled through a proper RAG layer. You can upload PDF, DOCX, TXT, and CSV files, or connect URLs, Notion, and Confluence, all indexed with pgvector. Answers come back with citations, and when something is not in your knowledge base the agent says "I don't know" instead of inventing an answer. The details are on the knowledge & RAG page.

On connectivity, AgentWorks covers the tools most European teams already use: Slack, Microsoft Teams, Gmail, Google Workspace, Google Drive, OneDrive, SharePoint, Salesforce, HubSpot, Pipedrive, Notion, Confluence, Jira, Asana, Monday, Calendly, GitHub, GitLab, and Exact Online, plus MCP servers and a REST API with inbound webhook triggers. See the full list on the integrations page.

Which one fits your team

Lindy is a strong choice if you want a large template ecosystem and are comfortable with a US-hosted platform. AgentWorks is the better fit when European data residency, EU AI Act readiness, model choice, and cost transparency are non-negotiable, and when you would rather start from 50+ working agents than build everything from scratch.

Summary: Lindy and AgentWorks both build AI agents and automations. AgentWorks differentiates on EU-native compliance (data residency, per-agent risk classes, human approval, audit trails), broad multi-model choice with an AUTO cost router, and transparent euro-wallet billing at cost plus 10% — with 50+ agents free from day one.

Frequently asked questions

Is AgentWorks EU AI Act compliant?

AgentWorks is EU AI Act-ready, not blanket "compliant." It provides per-agent risk classification, human-in-the-loop approval on state-changing actions, and an exportable audit trail, but your specific obligations depend on your use case and risk tier. The platform gives you the controls to meet them.

Can I choose which AI model runs each task?

Yes. AgentWorks supports GPT-5, Claude, Gemini, and Mistral models, and you can switch mid-conversation. The AUTO router also sends each message to the cheapest capable model automatically, so you keep control without micromanaging every request.

How does AgentWorks pricing compare?

AgentWorks bills tokens at cost plus 10% from one transparent euro wallet, with live per-run spend and budgets per organisation, team, and user. Plans run from Free (€0, with a €5 credit and 50+ agents) through Pro, Team, and custom Enterprise.