Quick answer: the best Lindy AI alternative for each need
Want usage-priced agents with unlimited seats: Gumloop. Agents on company data with a team workspace: Dust. Agents beside automations you already run: Zapier Agents or Make AI Agents. Open source: Activepieces. A free tier for agent apps: StackAI. An enterprise AI workforce: Relevance AI. Code steps with runtime billing: Latenode.
Each price here was read on the vendor's own pricing page in September 2026. Vendors that sell only through sales are described by their billing model, never by a guessed number. Nothing was taken from aggregator or review sites. That matters more than usual in this category, because the eight tools count eight different things. Lindy and Dust charge per seat, Gumloop and Activepieces charge credits, Zapier counts tasks and agent activities, Make counts module actions, StackAI counts runs and Latenode counts CPU seconds. Work out what your meter would be before you compare sticker prices.
Why teams look for Lindy alternatives in 2026
Lindy sells per user. Plus costs $29.99 a month per user and includes 3,000 credits per user per month. Pro costs $99.99 a month per user with 15,000 credits, five times the Plus allocation. Max costs $199.99 a month per user with 35,000 credits, about twelve times Plus. Credits are pooled across the workspace. Every seat adds its allocation to one shared pool, and admins can set allocations per seat. When the pool runs low, Lindy pauses credit-using actions instead of charging a surprise bill.
"One pool, whole team Every seat adds its credits to a shared pool, so anyone can draw on it when they need more. No surprise bills If the pool runs low, Lindy pauses and tells you. Admins can set credit allocations per seat."
Source: lindy.ai
In shape it is a Slack-native teammate rather than a canvas. It works in threads and mentions, runs scheduled routines and keeps persistent workspace context. It also records and summarizes meetings, schedules them, sends daily briefs and manages an inbox with drafts in your voice, with up to 5 connected inboxes. There are 40+ skills plus custom ones, computer use, model selection, built-in approvals, MCP support and thousands of integrations by its own count. Every plan includes the same features, so nothing is gated behind a higher tier. That last part is unusual.
So the reasons for shopping are rarely about a missing feature. Per-user pricing scales with headcount rather than with the amount of work. That hurts when ten people need occasional access to one agent. Credits arrive per seat, so a heavy user on a small team runs the shared pool down. Quiet seats keep paying for allocations they never touch. And a chat-first assistant is the wrong shape for long, branching processes. Those want a canvas, retries, custom code and a run history you can audit. Teams that hit one of those three walls start looking around.
Lindy AI alternatives at a glance
The eight tools below appear in the order of the sections that follow. Note the pricing column: it names the meter rather than a headline price. The meter is where these products actually differ.
| Tool | Best for | Pricing model | Free tier |
|---|---|---|---|
| Latenode | Code steps and runtime | Per CPU second | 10,000 CPU seconds |
| Gumloop | Usage-priced agents | Usage credits | No, 14-day trial |
| Dust | Agents on company data | Per seat, from 24 EUR | Yes, 500 credits |
| Zapier Agents | Teams running Zaps | Activity quotas | Yes, 400 runs a month |
| Make AI Agents | Agents in scenarios | Credits per module | Yes, 1,000 credits |
| Activepieces | Open-source hosting | Credits, user tiers | Yes, 100 credits a day |
| StackAI | Free agent apps | Free or custom quote | Yes, 500 runs a month |
| Relevance AI | Enterprise workforce | Custom, via sales | None published |
1. Latenode: best for agent workflows with code and runtime billing
Latenode is a low-code automation platform with an AI agent builder, not a chat-first AI teammate. The comparison is not like for like. You build in a visual drag-and-drop editor and ask the AI Copilot for help inside a workflow. Pick from 335+ LLM models under one subscription, add custom JavaScript nodes when a step needs real logic, and drive sites that have no API using the headless browser.
Billing runs on workflow runtime in CPU seconds, not per operation and not per step. So extra nodes do not multiply the bill. Both plans include the first 10,000 CPU seconds each month. Free is $0 a month forever with no card. It caps you at 5 active workflows, one execution worker and 3 minutes per run. Pay as you go has no base fee and charges $0.00012 per CPU second in the 10,001 to 100,000 bracket, with unlimited active scenarios and 10 minutes per run.
One trade-off: cost follows run duration. CPU seconds do not map onto tasks or credits, so you have to measure your own workflows before you can compare.
2. Gumloop: best for usage-priced agents with unlimited seats
Gumloop describes itself as an AI agent platform. You build agents that use your tools and data, then run them on triggers, on schedules or through the API, with Python and JavaScript SDKs. Pro and Enterprise both list unlimited agents, unlimited seats and teams, 35+ models, bring-your-own API keys, shared credentials, Gumloop MCP and the Gumloop CLI. A growing team is not priced by headcount.
"Additionally, Gumloop charges you an 8% orchestration fee on the full list cost of the task (including tokens, compute, and tool calls). Please note that if you bring your own API key(s) for models, the orchestration fee increases to 16%."
Source: gumloop.com
Pro starts at $37 a month and includes 20,000 credits, made up of 7,400 credits plus 12,600 bonus credits, with credits indexed at $0.005 each. Enterprise is custom-priced through sales. Every new account starts on a 14-day free trial of Pro that requires a card. The trial is a one-time offer per customer and rolls into a paid Pro subscription unless you cancel first. Each run is billed at the list cost of model tokens, compute and paid tool calls, plus an 8% orchestration fee on that list cost. Bring your own model keys and the fee rises to 16%.
Two limitations. There is no permanent free plan on the pricing page. Credits do not roll over month to month outside Enterprise, so an unused allowance simply expires.
3. Dust: best for team agents on company data
Dust builds agents that sit on your company's own material. You give an agent skills, knowledge and tools, then chain several into multi-agent workflows on schedules and triggers. Connect Slack, Notion, GitHub, Drive and 20 more sources, or anything else through MCP. Behind them sit 20+ frontier models including GPT, Claude, Gemini and Mistral, plus team workspaces, SSO and a choice of US or EU data residency.
Self-serve Business plans cover teams of up to 100 people. Free costs 0 euros with 500 lifetime credits. Pro costs 24 euros per seat a month with 8,000 credits, and Max costs 120 euros per seat a month with 40,000 credits. Yearly billing saves 20% and prices exclude VAT. A credit is the unit of AI usage, charged per message depending on the model, the task complexity and the tools the agent calls. Programmatic usage on Business costs $0.01 per credit. Enterprise, arranged with sales, adds unlimited connectors and MCP servers, pooled credits, SCIM, audit logs and single-tenant deployment.
Two limits stand out. You pay per seat in euros, and the plan comparison lists up to 3 data-source connectors, 5 remote MCP servers and 5 spaces on Business.
4. Zapier Agents: best for teams already running Zaps
For a team that already runs Zaps, Zapier Agents is the option that keeps agents and automations under one vendor. The Zapier Agents Free plan lets agent behaviors run up to 400 times a month. Agents Pro costs $400 billed annually, equivalent to $33.33 a month, and allows up to 1,500 activities a month.
The platform underneath keeps its own meter. Zapier Free costs $0 a month and includes 100 tasks a month with Zap workflows, Tables and Forms. Professional costs $19.99 a month billed annually and includes 750 tasks a month. One MCP tool call consumes two tasks from that quota. Worth knowing before you wire an agent into a dozen MCP-driven steps. Copilot, the AI-powered building assistant, is available on every plan, with a daily cap on Free.
The limitation fits in one line. Agent activities and Zap tasks are two separate meters. A busy agent can drain the second one through the automations it sets off.
5. Make AI Agents: best for agents inside visual scenarios
Make put agents inside the builder its users already live in. You create, run and debug an agent in the Scenario Builder. Give it context by uploading files instead of assembling a RAG workflow first, then let it orchestrate processes across 3,000+ apps by its own count. Agents are available on all plans and run either on Make's AI Provider or on your own LLM key. Maia, described as a co-worker for AI and automation, turns plain language into automation and Make AI Agents, and is included in all plans.
Pricing is credit-based. A credit is consumed by each module action in a scenario, such as adding a Google Sheet row or fetching Gmail data. Free costs $0 a month with up to 1,000 credits a month. With yearly billing selected, Core costs $9 a month, Pro costs $16 a month and Teams costs $29 a month, each billed annually and each carrying 10,000 credits a month.
Two caveats. Make AI Agents are still in beta. And because the meter counts module actions rather than finished tasks, an agent that touches many modules per job burns credits faster than the plan sizes suggest.
6. Activepieces: best open-source alternative
Activepieces is the open-source option here. The core is open source, and every plan costs the same whether it runs on the Activepieces cloud or on your own servers. For teams that need the engine inside their own network, that is the whole point. There are 760+ integrations, unlimited automations and every integration on every plan, and the builder can be embedded inside another product.
Free costs $0 with 100 credits a day for one user. Plus costs $16 a month billed annually with 10,000 credits a month for up to 5 users. Team costs $166 a month with 50,000 credits a month for 25 users, and Ultimate is custom-priced. Overage on Plus and Team costs $0.007 per credit. For ordinary steps, one credit covers a whole run no matter how many steps it contains. Long flows stay cheap to operate.
AI is where that generosity stops. A step that calls a model costs 2 credits for a fast model, 10 for a smart model and 20 for a frontier model. An agent-heavy build drains a daily or monthly allowance far quicker than a plain integration flow does.
7. StackAI: best free tier for enterprise-style agent apps
StackAI gives you a standing free tier for building agent apps rather than a countdown trial. Free costs $0 a month and includes 500 runs a month, 2 projects, 1 seat and community support on Discord. That is enough to put an internal tool in front of colleagues before anyone signs anything.
The plan comparison lists agent and flow modules, vision and speech modules, Python and JavaScript code logic, and data loaders for web scraping, file upload, Google Drive and Notion. It also lists a Chrome extension, a REST API and a Slack bot, plus knowledge bases and readers for PDF, Word and PowerPoint files. That is a wide surface for something you can start on without a card.
Enterprise is custom-priced. It adds a custom number of runs and seats, unlimited projects, all features and data loaders, dedicated infrastructure and solution engineers, on-prem or VPC deployment, access control, SSO and SOC 2, HIPAA and GDPR compliance. The gap between the two is the problem. Nothing sits in between, so the moment 500 runs or a single seat stops being enough, you are in a sales conversation.
8. Relevance AI: best for an enterprise AI workforce
Relevance AI sells an AI workforce rather than a per-seat assistant, and it publishes exactly one plan: Enterprise, priced through sales. There is no self-serve price at all, so the only way to get a number is to ask. Any figure you find on a third-party page is worth checking against the vendor's pricing page before you plan around it.
What the plan covers is broad. Custom actions and vendor credits, unlimited agents, tools, users, projects and workforces, 2,000+ integrations, calling and meeting agents, enterprise triggers, agent evaluations, A/B testing and analytics, SSO, RBAC and audit logs, and a dedicated account manager. The evaluation and analytics side is the tell. It reads as a platform for running many agents as a team and measuring them, rather than for tending one person's inbox.
The limitation is worth stating plainly. With no published price and no free tier, you cannot size a budget from the website. A small team that wants to test an idea this week has no self-serve way in.
How to choose
Run through these before you commit to a meter.
- What the meter counts. Seats and credits per seat with Lindy and Dust, usage credits with Gumloop, Make and Activepieces, tasks and activities with Zapier, runs with StackAI, CPU seconds with Latenode.
- Whether the price scales with people or with work. A per-seat plan grows with headcount even in a month when nobody uses it.
- Where the agent lives. In Slack and email, on a canvas beside the scenarios you already run, or inside an app you ship to your own users.
- What the free tier or trial actually caps: runs, projects, seats, credits a day, credits a month or CPU seconds, and whether it expires.
- Model choice and bring-your-own-key, which changes both the ceiling on quality and, in Gumloop's case, the fee charged on top of the model bill.
- MCP and integrations, including how MCP calls are metered. On Zapier one MCP tool call costs two tasks.
- Enterprise controls: SSO, SCIM, audit logs, data residency, single-tenant or VPC deployment, and who carries an SLA.
Two searches bring most people here. Permanent free tiers exist on Latenode with 10,000 CPU seconds a month, Dust with 500 lifetime credits, and Zapier with 100 tasks and 400 agent runs a month. On Make it is 1,000 credits a month, on Activepieces 100 credits a day and on StackAI 500 runs a month. Gumloop offers a 14-day trial that requires a card instead of a free plan, and Relevance AI publishes neither. Only Activepieces is open source at the core. It charges the same on its own cloud as on your servers, so self-hosting there is about control rather than cost.
