SpringBrandvsLindy

A Lindy alternative.
Build the agent once. Let it run.

Describe the job in chat, and SpringBrand builds the agent, runs it on a schedule and gets better every run. Compare SpringBrand vs Lindy on building, running, data and price.

Interactive design preview · Curated examples, no live agent runs

SpringBrand workspaceInteractive example
My workspaceSales · Lead listExample ready
You

Find 30 HVAC contractors in Denver, look up their public emails, keep the ones that fit our ICP and draft a first email for each.

SpringBrandSample output

A fictional sales agent: lead search → public emails → ICP filter → drafts.

googlemapsGoogle MapsapolloApollogoogle sheetsSheetsIllustrative tool stack
YOUR DELIVERABLE

Leads that fit, with a first email ready.

CompanyICP fitStatus
01Peak Air Services12 staff, books onlineReady
02Front Range HVACHiring two techniciansOn track
03Mile High HeatingNo public email foundReview

22 of 30 companies fit the ICP and have a draft email. Review the drafts, then sync the approved leads to HubSpot.

Review it once, then save it as an agent.

ONE TASK. SAVED AS AN AGENT.

Lead search → ICP filter → email drafts → CRM

THE SHORT VERSION

Which one should you choose?
It depends on the job.

Choose Lindy when you want one AI assistant that lives in Slack, joins your meetings and manages your inbox, and you are happy to pay per active user.

Choose SpringBrand when you want several agents that each do one job — lead lists, ad reports, channel digests — on a schedule, in parallel and on one credit balance from $29 a month.

THE PRACTICAL DIFFERENCES

The questions buyers ask, answered side by side.

Each row is a question buyers ask before switching. Lindy cells come from its public homepage and pricing page; SpringBrand cells from its own.

Swipe the table to see both answers.

What matters to your team
SpringBrand
AI agent builder · marketplace · schedules
Lindy
AI teammate in Slack, meetings & inbox
How do I build an agent?Describe the job in chat; SpringBrand proposes instructions, data sources, apps and skills and you confirm. Or fill in the same four parts in a form. No code.Ask Lindy in Slack, iMessage or the app; do something once and save it as a skill your whole team gets (40+ skills listed).
What happens while I'm offline?Agents run in the cloud on a schedule (by day, by week or at a set time) and push results to Slack, Microsoft Teams or Lark. Plus 3 daily tasks, Pro 20 every 15 min, Max unlimited every 5 min.Scheduled routines such as daily briefs, Monday reports and Friday nudges; iMessage available 24/7.
How does it get better?It learns from results and feedback and remembers your preferences, formats and usual tools for the next run.Persistent workspace memory kept in plain files you can open and edit.
What can it connect to?A marketplace of Agents, Skills and 10,000+ APIs and plugins on one credit balance; reads and writes Gmail, Slack, HubSpot and your company docs.1,500+ integrations, MCP support, computer use and model choice per task.
How many jobs can run at once?1 agent at a time on Free, 2 on Plus, 5 on Pro and 20 on Max, with runs from 5 minutes up to 4 hours.Not published as a per-plan number; usage is limited by the shared credit pool.
Who on my team can use it?Share an agent by link or publish it; Team plans add Owner, Admin and Member roles and pooled credits; SSO and SCIM on Enterprise.Seats on one bill with a pooled credit balance; SSO, SCIM, audit logs and HIPAA BAA on Enterprise.
What will it cost?Plus $29, Pro $59, Max $199 a month ($23 / $47 / $159 billed annually); a typical task uses about 15–40 credits; top-ups $5 per 1,000.Team from $49.99 per active user a month for 5,000 credits; top-ups $10 per 1,000 credits.
Where can I start for free?Free plan: 300 credits on signup, then 100 a month, no credit card; 1 agent at a time.$50 in free credits that last 7 days, no credit card.
Can it join my meetings and inbox?It is not a meeting recorder. Agents read from and write to Gmail and Slack, and you can @mention them in Slack, Microsoft Teams or Lark.Yes: meeting recording and notes, a shared meeting library and inbox management.
Based on public product and pricing pages · Reviewed October 23, 2026View sources
01 / BUILD AN AGENT IN CHAT

Describe the job in chat.
Or fill in a form.

Tell SpringBrand what you need in plain language. It proposes the agent's setup, you confirm it, and the same conversation becomes the agent's runner. Or do the task once, review the result and save it as an agent.

Prefer a form? Fill in the same four parts yourself: instructions (the system prompt), data sources (APIs), connected apps such as Gmail or Google Sheets, and skills. No workflow canvas, no code.

  • Instructions: the job in your words
  • Data sources and connected apps
  • Skills, then save and share the agent
Explore the example agent
A CHAT BECOMES AN AGENTIllustration
You

Every morning at 8:00, summarize new leads, moving deals and today's meetings for #sales.

Describe the job

The goal, the inputs and the result you want

01
Confirm the proposed setup

Instructions, data sources, apps and skills

02
Run, review, save

Check the result, then save and share the agent

03
Saved agent · Daily pipeline briefReady to reuse
02 / ALSO FROM CLAUDE CODE, CODEX & CURSOR

Work in SpringBrand.
Or call it from your coding agent.

MCP is a second way in, not the main one. If you already work in Claude Code, Codex or Cursor, connect SpringBrand's MCP server or plugin and call the same marketplace tools and APIs from there.

Lindy also lists MCP support among 1,500+ integrations. For most teams the main way in is still chat; MCP matters when part of the team lives in a coding agent.

Explore MCP client setup
YOUR AGENT. CONNECTED.Illustration
claudeClaude CodeYour workspace
SpringBrandAI agent builder
google driveFiles
notionKnowledge
slackUpdates

Connect SpringBrand’s MCP tools to your Claude Code session.

View Claude Code setup
03 / NO WORKFLOW TO DRAW

No canvas to draw,
just the output.

A useful AI workflow brings inputs, connected apps and an output together. SpringBrand reads the sources you connect and writes the update, without a node graph to build or maintain.

Agents read from and write to Gmail, Slack, HubSpot and live data sources. Review the first update, then let the agent post the next one where your team already works.

Explore the workflow example
FROM APPS TO ACTIONWorkflow example
google driveProject files
google sheetsStatus data
notionTeam notes
SpringBrand AgentRead sources · Organize · Write the update
EXAMPLE DELIVERABLE

Weekly project report

Draft
ProductPrototype reviewedOn track
OperationsAssign handoff ownerReview
ResearchFindings documentedReady
Sources stay linked to the update

A clear update, posted where your team works.

04 / ONE MARKETPLACE, ONE BILL

Agents, Skills, APIs.
One subscription, one bill.

The marketplace has three shelves: ready-made Agents by function (Sales, Marketing, HR and more), Skills that add expertise such as financial modelling, and APIs for data and tools.

Ten tool subscriptions and ten bills become one subscription and one bill. Credits work across 10,000+ APIs and plugins, with search, social, SEO and sales data built in and no API keys needed.

For a Lindy alternative, compare the data a job needs, not only the app count. Lindy connects to 1,500+ apps and lets you pick a model per task; SpringBrand puts Agents, Skills and built-in search, social, SEO and sales data on one bill.

Explore the marketplace
TOOLS FOR THE TASKCatalog illustration
exa

Web research

Find relevant pages for a focused question.

Research · Example capability
peopledatalabs

Company & contact data

Look up firmographics and contacts without your own API key.

Research · Example capability

The task decides which tools run.

Example categories. Check what is live in the marketplace.

05 / COMPANY KNOWLEDGE BASE

Upload your company docs.
Get work that follows them.

Agents use your company's docs and data. Upload guidelines, product material and playbooks to a company knowledge base, and answers and output follow your context instead of generic model memory.

This example turns a brief and handoff notes into a short summary with source references and one open question, so it is clear what is settled and what still needs a decision.

Compare this part of SpringBrand vs Lindy around your team: Lindy keeps workspace memory in plain files you can open and edit, plus a shared meeting library. SpringBrand gives agents a company knowledge base of your uploaded docs and learns your preferences run by run.

Explore Google Drive MCP
CONTEXT YOU CAN FOLLOWExample output
google driveProject brief01
notionHandoff notes02

Project handoff summary

The prototype is ready for review; only the data handoff is still open.

Owner still to confirmSource 02
Review scope agreedSource 01
OPEN QUESTIONWho will own the final data handoff?
06 / SCHEDULES & RESULTS IN SLACK

Schedule it once.
The result comes to you.

Set a schedule by day, by week or at a set time. The agent runs in the cloud while you are offline and pushes the result to Slack, Microsoft Teams or Lark (Feishu), where your team can @mention it to hand over the next task.

SpringBrand includes 3 daily scheduled tasks on Plus, 20 every 15 minutes on Pro and unlimited every 5 minutes on Max. Lindy runs scheduled routines such as daily briefs and Friday reports. Compare the cadence, the channel the result lands in and the credits each run uses.

Each run improves on the last: the agent learns from results and your feedback and remembers preferences, formats and usual tools. Review the first scheduled runs before you rely on them.

Compare plans for scheduled work
A REPEATABLE ROUTINESchedule illustration

Weekly pipeline briefing

Example routine · Every Monday

Mon
Tue
Wed
Thu
Fri
Every Monday09:00 · Local time
  1. 1
    Collect the latest inputs

    New leads, deals and notes

  2. 2
    Write the briefing

    What changed, what is stuck, what needs a reply

  3. 3
    Post it to the team

    Sent to Slack, with a note on anything urgent

Scheduled tasks: Plus 3 (daily), Pro 20 (every 15 min), Max unlimited (every 5 min).

SPRINGBRAND VS LINDY PRICING

Compare the cost of your work.

Start with the plans. Then evaluate the same task, the same tools, and the usage your team actually needs.

SpringBrand

AI agent builder
$29/ month

Plus · Monthly price; lower when billed annually

  • 3,000 monthly credits
  • Run 2 agents at once, with 3 daily scheduled tasks.
  • Top-ups: $5 per 1,000 credits
View SpringBrand pricing
LindyAI teammate
Team Enterprise also available
from$49.99/ month

Per active user, billed monthly

  • 5,000 credits per user each month
  • Credits pooled across the team
  • Top-ups $10 per 1,000 credits
View Lindy pricing

Prices checked October 23, 2026. Credit units and included usage differ. Price the same task on both; no like-for-like savings are implied.

What changes the cost of an AI agent?

When comparing SpringBrand vs Lindy pricing, work backward from one representative task: how many runs a month, which tools each run calls and who on the team needs access.

01

Seats or usage

Lindy bills every active user, from $49.99 a month each. SpringBrand bills one plan or one seat per Team member; count who actually needs access to the agent.

02

Work per run

Lindy estimates 2–250 credits for everyday asks and 250–1,000 for deep work. SpringBrand estimates 15–40 credits for a typical agent task. Run the same job once in each to see the real number.

03

Run frequency

Multiply by how often the job runs. A daily brief is about 30 runs a month; check scheduled-task limits, top-up prices and whether unused credits roll over.

CHOOSE FOR YOUR TEAM

Who should pick which?

Find the sentence that sounds like your team.

Choose SpringBrand if…

You run sales or marketing and want separate agents for lead lists, ad reports and digests, each on its own schedule.

  • You want the limits up front: agents at once and scheduled tasks are published for every plan.
  • A small team wants a plan from $29 a month instead of paying per active user.
  • Use both if Lindy already handles your meetings and inbox: keep it there and add SpringBrand agents for research and scheduled reports.
Explore SpringBrand

Choose Lindy if…

You want one assistant that sits in Slack threads, meetings and your inbox all day.

  • Meeting recording, notes and a shared meeting library are central to the job.
  • You need HIPAA compliance with a signed BAA.
  • You want every action with outside impact to wait for approval by default.
Explore Lindy
SWITCHING FROM LINDY

Move one job.
Keep what works.

Switching starts with the jobs you actually rely on. Write down the goal, the inputs and the result for one of them, then rebuild that job as a SpringBrand agent and compare the output.

Pick one routine Lindy runs for you today, such as a daily brief or a weekly report. Rebuild it as a SpringBrand agent and compare the output, the credits used and the time to set up. Run both in parallel for a week before you switch the old flow off.

Explore a workflow example
YOUR MIGRATION CHECKLISTPlanning guide
LindySpringBrand
  1. 01

    Routines & instructions

    List each Lindy routine with its goal, inputs, schedule and expected output. Rewrite the request in plain language for SpringBrand and save the first good run as an agent.

  2. 02

    Tools & connections

    Map each Lindy integration or MCP action to a SpringBrand capability. Reconnect Gmail, Slack or HubSpot through the supported setup and check read and write permissions.

  3. 03

    Memory & context

    Export or copy the notes and documents the job depends on. Attach them as company context; do not assume Lindy memory files transfer automatically.

  4. 04

    Schedules & checks

    Recreate the schedule only after a sample run is right. Check time zones, channels, duplicate posts and credit use for a week.

Manual evaluation and setup. No automatic Lindy import is offered here.

A FEW MORE DETAILS

SpringBrand vs
Lindy: FAQs

Building agents, schedules, the marketplace, pricing and switching.

BRING YOUR NEXT TASK

See what your first agent
could get done.

Describe the task, review the result,
and save it as an agent that runs on schedule.

Build your first agent freeExplore the example first