Best Lindy AI Alternatives for Small Business (2026): Gumloop, Zapier Agents, Make, n8n, and Relevance AI

The best Lindy AI alternative depends on why you want to switch. Choose Gumloop for a managed, agent-first workspace; Zapier Agents for broad SaaS connectivity and low-friction adoption; Make for transparent visual orchestration; n8n for technical control and self-hosting; and Relevance AI for designed multi-agent workforces.

Do not compare these products by headline price alone. Lindy now charges per user and pools each seat’s credits across the workspace. Its alternatives meter different things: Gumloop credits, Zapier Agent activities plus separate Zap tasks, Make credits plus possible model-token costs, n8n workflow executions plus AI costs, and Relevance AI Actions plus Vendor Credits. The fair comparison is the cost and failure rate of one completed, reviewed business outcome.

This guide was checked against live first-party pricing and documentation on September 28, 2026. It is vendor-document-verified editorial analysis, not hands-on testing. Google Search Console and GA4 evidence was unavailable, so no first-party traffic or conversion claims were used.

Start with the reason for switching. These platforms are not interchangeable substitutes.

Lindy AI alternatives by switching reason

Fast verdict: Gumloop is the closest philosophical substitute for Lindy. Zapier Agents is the easiest ecosystem-led trial. Make and n8n are stronger when the work should be explicit and deterministic. Relevance AI is the most deliberate choice when the goal is a coordinated workforce rather than one shared assistant.

What changed in Lindy pricing—and why old pages can mislead

Lindy’s current lineup is Plus, Pro, Max, and Enterprise, priced per user with pooled workspace credits. The current official pricing page lists Plus at $29.99 per user per month with 3,000 credits per user, Pro at $99.99 with 15,000 credits, and Max at $199.99 with 35,000 credits. Official documentation rounds those prices to $30, $100, and $200.

Every paid seat adds credits to one shared workspace pool. Plan credits refresh monthly and do not roll over. Purchased top-up credits are different: Lindy documents them at $10 per 1,000 credits, and says they carry over without expiring. If the shared pool runs low, credit-consuming actions pause instead of automatically creating an unlimited surprise bill.

Stale-page warning: any page still describing a Lindy Free, Starter, or Business lineup is not describing the current September 2026 plans. Use Lindy’s canonical pricing page and current pricing documentation before budgeting or renewing. Search snippets, old reviews, and historical vendor posts are particularly easy to mistake for current terms.

The shift matters because headcount now changes both cost and capacity. A ten-person workspace on Plus costs almost $300 per month even if only two people regularly delegate heavy work. The pooled credits help uneven teams, but a business should confirm who truly needs a paid seat and who merely needs to receive an output in Slack, email, a CRM, or another system.

How one, five, and ten users change the Lindy cost

Lindy is the only product in this shortlist where the current public self-serve price maps cleanly to every named user. The table below uses current monthly list prices before tax and assumes every person needs a paid seat.

Alternative platforms do not scale by the same formula:

• Gumloop Pro is currently $37 per month with 20,000 credits and a 14-day trial. Its public credit documentation does not provide enough collaborator-entitlement detail to multiply that price confidently by one, five, or ten users, so confirm workspace access before treating $37 as a ten-person cost.
• Zapier Agents Pro currently starts around $33.33 per month on annual billing with 1,500 Agent activities per month. Agent activities are separate from Zap tasks. Team and Enterprise share activities across the account, but the core Zapier plan and task tier may add cost.
• n8n is not priced publicly as a simple seat multiplier. Its current Cloud page says Starter and Pro include unlimited users, while projects, concurrency, insights, executions, and AI-credit allowances vary. Self-hosting can remove a Cloud seat question while adding infrastructure cost.
• Relevance AI Pro is $19 per month annual or $29 monthly for two build users. Team is $234 per month annual or $349 monthly for five build users and 45 end users. One user fits Pro; five builders fit Team; ten builders require an Enterprise discussion. Ten people with only a few builders may still fit Team.
• Make uses organization plans and credit capacity rather than a clean per-user comparison. Its public pricing page was Cloudflare-blocked in this research environment, so no unverified plan price is quoted here.

This is why a five-person cost comparison must define roles. Five builders, five approvers, and one builder plus four output recipients are three different licensing problems.

Do not compare pooled credits, activities, executions, and Actions as if they match

The billing meters measure different slices of work, so raw unit prices are meaningless without a test workflow. One “run” may include one answer, ten tool calls, four deterministic actions, or a complete multi-step workflow depending on the platform.

Price one completed outcome through every meter. A thousand units in one platform is not a thousand units in another.

Gumloop’s current docs value one credit at $0.005. They describe model calls billed at cost, successful tool calls starting at one credit, active compute at five credits per session-minute, and an 8% default orchestration fee. BYOK moves model charges to your provider and changes the documented orchestration fee to 16% for agent chats. That can still reduce total Gumloop credits, but it creates two bills.

Zapier says one Agent activity can be a trigger, a knowledge-source answer, an app action, web browsing or scraping, a web search, or a Chrome-extension message. The documented allowance is 400 activities on Free and 1,500 on Pro, with per-run caps of 10 and 40 respectively. Zapier’s ordinary automation task economy remains separate.

Make documentation distinguishes operations from credits. A module run processes or checks data; modules can run once per bundle, so upstream fan-out multiplies downstream operations. Make also warns that AI agents can create both Make-credit charges and LLM-provider token charges.

n8n’s current Cloud pricing surface organizes capacity around complete workflow executions and separately lists AI-credit allowances: 2,300 per month on Starter and up to 13,700 on Pro at the time checked. Its new Gateway credits are another distinct balance for supported AI models and external services. Self-hosted Community Edition is free software, not free operations.

Relevance AI counts an Action when an agent runs a Tool. Vendor Credits pay for model and tool-vendor usage. Pro includes 2,500 monthly Actions and $20 monthly Vendor Credits; Team includes 7,000 Actions and $70 Vendor Credits. Extra Actions cost $80 per 1,000 and extra Vendor Credits cost $20 per 10,000. Plan Actions reset, while purchased Action top-ups and Vendor Credits have different rollover rules.

Gumloop is the closest managed, agent-first Lindy alternative

Choose Gumloop when you want to keep delegating open-ended work to managed agents but want a workspace-level subscription and more granular credit visibility. Gumloop is oriented around agents that choose tools, call connected apps, run from triggers, use shared skills and knowledge, and create artifacts.

A representative SMB workflow is a lead-research agent that reads a CRM record, checks the company website, enriches the account, drafts a qualification note, and requests approval before writing back. Gumloop’s detailed credit breakdown can show model, tool, compute, orchestration, brain, and other charges for a conversation. Per-chat credit thresholds can pause an expensive run and create an Action Request for approval.

The compromise is still variable usage. Long context, premium models, many connected tool definitions, external enrichment, subagents, and deep research can raise credits. Organization-level Insights is documented as an Enterprise feature, so a small Pro customer should confirm whether its per-chat and credit-log visibility is enough for governance.

Best for: operations and go-to-market teams that want managed agent work, shared tools, and less infrastructure ownership.

Avoid or pilot carefully if: every important step must be deterministic, source-controlled, self-hosted, or inspected in a fixed graph.

Read our Gumloop pricing guide and Gumloop alternatives guide.

Zapier Agents is the easiest choice for app coverage

Choose Zapier Agents when the hardest requirement is connecting common SaaS products quickly and giving nontechnical staff a familiar path into automation. Zapier’s biggest advantage is not that every connector is equally deep; it is that a buyer has a strong chance of finding a supported starting point for the apps already in use.

A representative workflow is an inbound-lead agent that reads a form, enriches the company, checks CRM history, drafts a response, and hands approved fields to a Zap that creates the contact and alerts sales. This split keeps ambiguous research in the agent and predictable writes in a deterministic workflow.

The billing catch is important. Agent activities do not consume Zap tasks, and Zap tasks do not increase the Agent allowance. A business may need an Agents add-on plus a Professional or Team automation plan and an appropriate task tier. Connector logos also do not prove the exact trigger, search, attachment, pagination, or write action you need.

Best for: mixed SaaS stacks, common sales and marketing tools, quick pilots, and low-code teams.

Avoid or pilot carefully if: the workflow has many actions per event, needs self-hosting, depends on custom runtime control, or requires deep governance below Enterprise.

See our Zapier Agents pricing guide, Zapier pricing guide, and n8n vs Zapier comparison.

Make is the clearest option for visual orchestration

Choose Make when the team wants to inspect how data moves through routers, filters, iterators, aggregators, and app modules. Make is less like a conversational teammate and more like a transparent automation canvas that can include AI where judgment is useful.

A representative SMB workflow is invoice intake: watch an inbox, extract a document, map supplier fields, branch on confidence, request review for exceptions, create the accounting record, and archive the file. Operators can inspect bundles and operation counts at each module, which is useful when debugging a multi-system handoff.

The risk is fan-out. Ten input bundles moving through five downstream modules can create many operations. AI features may also use dynamic credit rules or an external provider bill. Because Make’s current pricing page was not extractable in this environment, verify the live plan price, included credits, users, roles, scheduling, extra-credit rate, and AI-provider rules before buying.

Best for: visual operators, agencies, ecommerce workflows, data routing, and deterministic multi-app processes.

Avoid or pilot carefully if: the business needs local hosting, Git-first deployment, very high-volume predictable economics, or agent-first delegation rather than workflow design.

Read our Make pricing guide, Make AI Agents pricing guide, and Zapier vs Make comparison.

n8n is the best option for technical control and self-hosting

Choose n8n when a technical owner wants explicit workflows, code, APIs, custom nodes, deployment choice, and control over credentials and data paths. n8n Cloud removes infrastructure work; self-hosting provides deeper control through Community, Business, or Enterprise editions.

A representative workflow is support triage: receive a ticket, classify it with a model, fetch customer and billing context, apply deterministic routing rules, pause for approval on refunds, update the help desk, and log the outcome. The AI step can interpret language while the rest of the graph remains visible and testable.

Self-hosting is not a magic coupon. Someone must own Docker or Kubernetes, the database, backups, encryption keys, TLS, updates, worker scaling, monitoring, security patches, and incidents. Some governance features—SSO, environments, projects, external secrets, log streaming, and Git version control—require paid editions.

Best for: technical founders, internal automation teams, API-heavy work, self-hosting requirements, and deterministic control around AI.

Avoid or pilot carefully if: no one owns infrastructure or JavaScript, business users must build everything alone, or the job is mostly open-ended research and drafting.

See our n8n pricing guide, Make vs n8n comparison, and Gumloop vs n8n comparison.

Relevance AI is the strongest choice for designed multi-agent workforces

Choose Relevance AI when the operating model calls for several specialist agents coordinated as a workforce, with builders, end users, triggers, escalations, activity monitoring, and explicit capacity. It is a more designed system than a single assistant that everyone mentions in Slack.

A representative workflow is an outbound sales workforce: one agent researches accounts, another qualifies fit, another drafts outreach, and a coordinator routes exceptions to a person before an approved message is sent. Relevance AI supports Workforces, unlimited agents and tools on paid plans, scheduled tasks, Smart Escalations, an Activity Center, and app triggers. Team adds analytics; Enterprise adds agent evaluations, work-hour controls, SSO, RBAC, and audit logs.

The main SMB tradeoff is the plan jump. Pro supports two build users and one project. A team with five builders needs Team at $234 per month annual-equivalent, and stronger governance remains an Enterprise conversation. Actions and Vendor Credits also need separate forecasting.

Best for: structured go-to-market workforces, specialist-agent systems, and teams that can define roles, handoffs, quality checks, and escalation rules.

Avoid or pilot carefully if: the business needs one simple assistant, only one deterministic workflow, self-hosting, or low-cost access for many builders.

Who should stay with Lindy

Stay with Lindy when the product already handles the work well and the per-user model does not create a material waste problem. Switching platforms introduces migration effort, new failure modes, retraining, and a period of duplicate cost.

Lindy remains a strong fit when:

• staff delegate from Slack, iMessage, inbox, calendar, and meetings rather than building workflow diagrams;
• pooled credits match uneven use across a small number of genuinely active seats;
• built-in approval before outside-impact actions matches the risk model;
• meeting prep, recording, follow-up, inbox work, and workspace context matter more than self-hosting;
• the current connected actions work reliably and are difficult to reproduce elsewhere;
• Plus, Pro, or Max costs less than rebuilding, monitoring, and supporting an alternative.

Do not switch solely because another product advertises a lower monthly number. If Lindy replaces three fragmented tools and staff actually use it, a higher seat price may still be cheaper. If ten paid seats exist mainly so two operators can use the assistant, the economics deserve a pilot.

Migration and lock-in risks to test before switching

The biggest migration risk is not moving prompts; it is reproducing behavior at system boundaries. Inventory every trigger, credential, approval, schedule, knowledge source, tool action, output, owner, and exception path before rebuilding.

Check these lock-in points:

1. Conversation and workspace context. Determine what can be exported and what must be reconstructed.
2. Credentials and ownership. Replace employee-owned OAuth connections with approved service identities where possible.
3. Prompts, skills, and agent instructions. Version them outside the platform if the vendor allows export or API access.
4. Connector depth. Test the exact objects, fields, attachments, pagination, scopes, and write actions—not the app logo.
5. Approval semantics. Distinguish approval to publish a workflow from runtime approval of an agent action.
6. Observability. Require searchable run history, inputs, outputs, tool calls, cost, errors, retries, actor identity, and timestamps.
7. Rollback. Run old and new systems in shadow mode, with only one allowed to write, until parity is proven.

Coexistence is valid. An agent can research and produce structured output while Make or n8n validates the schema and performs approved writes. Zapier can supply an edge connector. Platform purity is not a business result.

Human approval and observability checks

Every candidate should prove approval and traceability on the exact high-impact workflow. Vendor plan tables are not enough.

• Lindy: current docs say actions with outside impact wait for approval, while read-only lookups from approved sources do not. Test email sends, ticket updates, channel posts, and document publication separately.
• Gumloop: test Action Requests, per-chat credit thresholds, the detailed credit breakdown, and what a reviewer sees before approving a tool action.
• Zapier Agents: test the paid per-run activity cap and any approval handoff into Zaps. Confirm whether the final system write is blocked by a person or merely logged afterward.
• Make: place a durable approval record before the consequential module. Confirm that retries cannot bypass it and that history preserves the reviewed payload.
• n8n: use an explicit wait, form, chat, or ticket approval step before the write node. Preserve execution data, reviewer identity, and a deterministic resume path.
• Relevance AI: test Smart Escalations, Activity Center evidence, Team analytics, and Enterprise eval or audit requirements. Confirm which controls exist on the selected plan.

For every platform, revoke a credential, send a duplicate event, exceed the usage limit, force a malformed record, and interrupt the approval. A clean demo is marketing; failure recovery is operations.

A 14-day pilot scorecard

Pilot one real workflow for two weeks and score outcomes, not feature counts. Use 20–50 representative cases and keep consequential writes behind review.

A candidate passes only when it completes the real job, records the evidence, and fails safely.

Days 1–2: define the outcome, acceptance rules, data scope, risk boundary, and cost baseline. Days 3–5: build the smallest useful version. Days 6–9: run representative cases and force failures. Days 10–12: shadow the existing Lindy workflow with writes disabled. Days 13–14: compare scores, forecast monthly usage, assign ownership, and make a stay, switch, or coexist decision.

Reject a candidate if any critical approval or rollback test fails, even when its weighted score looks good. Averages are excellent at hiding landmines. That is their main hobby.

Related 5Min Systems guides

• Gumloop pricing for small business
• Best Gumloop alternatives
• Zapier Agents pricing
• Zapier pricing
• Make pricing
• n8n pricing
• Make vs n8n
• n8n vs Zapier
• Best automation software for small business

Sources and verification notes

Primary evidence included Lindy pricing, Lindy pricing documentation, Gumloop credit documentation, Zapier pricing, Make pricing, Make credit and operation documentation, n8n pricing, n8n deployment guidance, n8n Gateway-credit documentation, and Relevance AI pricing documentation.

Vendor comparison pages were treated as interested-party evidence and were not used to establish competitor capabilities. Make’s live pricing page was blocked by Cloudflare in the available research environment, so current subscription prices were deliberately omitted. Prices, allowances, and features can change; verify the linked pages and checkout terms before buying.

FAQ

What is the best overall Lindy AI alternative?

Gumloop is the closest managed, agent-first alternative. Zapier Agents is better when app coverage and easy adoption dominate. Make and n8n are better when workflows should be explicit. Relevance AI is better for intentionally designed multi-agent workforces.

Is Gumloop cheaper than Lindy?

Gumloop Pro is currently $37 per month with 20,000 credits, while Lindy starts at $29.99 per paid user with 3,000 credits per seat. That does not prove Gumloop is cheaper: the products meter different work, and Gumloop collaborator entitlements must be confirmed. Compare a real workflow and its human-review cost.

Which Lindy alternative is easiest for a nontechnical team?

Zapier Agents is the easiest first trial for common SaaS stacks. Gumloop may feel more natural for open-ended agent delegation. Make is visual but more detailed, and n8n generally needs a technical owner.

Which Lindy alternative can be self-hosted?

n8n is the clear self-hosted option in this shortlist. Its Community Edition is free, while Business and Enterprise unlock additional governance. Self-hosting also makes your team responsible for infrastructure, upgrades, backups, security, and incidents.

Which alternative has the best human-approval controls?

There is no universal winner because approval can mean runtime action approval, workflow-change approval, or a custom wait step. Lindy documents approval before outside-impact actions. Gumloop documents Action Requests. Other candidates can implement review gates, but you must prove the exact runtime behavior on the chosen plan.

Should a small business use an agent or a deterministic workflow?

Use an agent for ambiguous language, research, classification, and drafting. Use deterministic workflows for validation, payments, deletions, customer commitments, permissions, and high-impact system writes. Reliable systems often combine both.

How long should a Lindy migration pilot run?

Fourteen days is enough for one bounded workflow if the pilot includes representative cases, forced failures, shadow runs, cost tracking, human approval, and rollback. It is not enough to migrate every workflow at once.