Lindy builds personal AI assistants tuned for individual productivity — email management, scheduling, and meeting summaries for SMB and prosumer users. Agentplace builds goal-directed AI agents that reason, loop, and adapt across complex business workflows, deployable as web, voice, CLI, or sub-agents. If you need agents that work at team or enterprise scale with MCP connectivity and multi-runtime deployment, Agentplace goes further.
MCP integrations — connect any tool with an open standardMulti-runtime: web, voice, CLI, and sub-agent in one buildBYOK — use your own OpenAI, Anthropic, or Gemini keysFull-code control with no per-seat pricing
Lindy is a solid tool for some teams. We'll give you an honest side-by-side so you can decide what fits.
The Reality Check
Why teams outgrow Lindy
Personal AI assistants shine for individual productivity. When your business needs agents that collaborate, reason deeply, and integrate with your whole stack, you need more.
Common Lindy frustrations
✕Lindys are personal assistants — hard to share or run as team-level agents
✕No MCP support — integrations are limited to Lindy's native connector list
✕Can't deploy the same agent as voice, CLI tool, or sub-agent simultaneously
✕No BYOK option — you can't bring your own LLM API keys
✕Per-task credit model gets expensive fast at scale
✕Limited ability to compose agents into multi-agent pipelines
How Agentplace handles it
✓Agentplace agents are shareable, team-accessible workspaces by default
✓MCP support lets you connect any tool — now and as the ecosystem grows
✓Deploy once; run everywhere: web chat, voice, terminal, or as a sub-agent
✓BYOK across OpenAI, Anthropic, and Gemini — control your costs
✓Flat call-based pricing with a generous free tier and predictable Pro plan
✓Compose multiple agents together; each can call others as skills
Feature Comparison
Agentplace vs Lindy — at a glance
Every major capability, side by side. No cherry-picking.
Feature
Agentplace
Lindy
AI agents that reason & adapt
✓
partial
No-code setup
✓
✓
MCP integrations (open standard)
✓
✕
BYOK (Bring Your Own API Key)
✓
✕
Voice interaction mode
✓
✕
Generative / adaptive UI
✓
✕
Deployable inside Claude Code / CLI
✓
✕
Team-shareable agent workspaces
✓
partial
Persistent agent memory
✓
✓
Multi-agent composition
✓
✕
Handles unstructured data (PDF, email)
✓
partial
Free tier available
✓
✓
Built-in audit trail
✓
partial
Private cloud / SSO (enterprise)
✓
✕
Deep Dive
Category by category
How each product actually handles the things that matter.
AI Capabilities
Lindy wins for individual productivity flows. Agentplace wins for complex, multi-step, or team-scale automation that requires judgment.
Agentplace
Goal-directed agents that loop and adapt
Agentplace agents are LLM-native orchestrators: they plan, execute tools, evaluate outcomes, and loop until the goal is achieved. They handle ambiguous inputs, unstructured documents, and multi-step decisions without manual step configuration.
★ Advantage
Lindy
Personal AI assistant with smart triggers
Lindy agents are designed around personal productivity triggers — email received, meeting scheduled, form submitted. They're well-tuned for reactive personal tasks and handle common SMB workflows elegantly out of the box.
Integrations
Lindy's native integrations are polished and fast to set up. Agentplace's MCP-first approach offers broader, more future-proof connectivity.
Agentplace
MCP — the open standard for AI connectivity
Agentplace is built on MCP (Model Context Protocol), the open standard backed by Anthropic. Any tool with an MCP server connects instantly. Plus 1,000+ pre-built connectors for common SaaS tools. Your integration stack is future-proof.
★ Advantage
Lindy
Curated native integrations for popular tools
Lindy offers well-designed native integrations with Gmail, Calendar, Slack, HubSpot, Salesforce, and other popular tools. Setup is fast and polished, but you're limited to what Lindy supports natively — custom tools require workarounds.
Deployment
Agentplace is multi-runtime by design. Lindy is optimized for browser and email-centric personal workflows.
Agentplace
Web, voice, CLI, and sub-agent from one build
Build an agent once on Agentplace and deploy it as a web chat interface, voice assistant, terminal command (inside Claude Code), or as a callable sub-agent for other AI systems. No extra configuration per runtime.
★ Advantage
Lindy
Smooth browser and email-native experience
Lindy integrates deeply with your browser via extension and runs agents triggered by email or calendar events. It's optimized for personal assistant scenarios on desktop, but doesn't offer voice mode, CLI deployment, or composable sub-agent patterns.
Pricing
Agentplace's call-based pricing is more predictable at scale. Lindy's per-task model works well for light individual use.
Agentplace
Transparent flat pricing with a generous free tier
Agentplace's free plan includes unlimited builder access and 1,000 agent calls per month — no per-seat fees ever. Pro is $29/mo with scaling agent calls. Enterprise includes SSO and private cloud on custom pricing.
★ Advantage
Lindy
Free tier and approachable SMB pricing
Lindy offers a free tier with limited runs per month. Paid plans are priced per task/credit, which works well for light usage but can become expensive as automation volume grows or as you add more Lindy instances per team member.
Team & Enterprise Fit
Lindy excels for individual power users. Agentplace is the better fit for teams that need shared agents, SSO, and enterprise controls.
Agentplace
Built for teams and enterprise from the start
Agentplace agents are shared workspaces: build once, share across the team. Business plan adds SSO, private cloud deployment, and enhanced security controls. Multi-agent composition lets you build org-wide automation architectures.
★ Advantage
Lindy
Strong personal productivity for individuals and small teams
Lindy is excellent for individual professionals and small teams needing a personal AI chief of staff. Enterprise-grade access controls, SSO, and multi-team agent sharing are limited compared to purpose-built business platforms.
Who It's For
Choose the right tool for your situation
Honest guidance — not every team needs the same thing.
Choose Agentplace if you need to
→Build agents shared across your whole team, not per-person assistants
→Connect to any tool via MCP without being limited to a native connector list
→Deploy agents as voice interfaces, CLI tools, or callable sub-agents
→Bring your own LLM keys (OpenAI, Anthropic, Gemini) to control costs
→Compose multiple agents into multi-step pipelines or multi-agent systems
→Scale with predictable flat pricing rather than per-task credits
Stick with Lindy if you
→Need a polished personal AI assistant for email, calendar, and CRM updates
→Want pre-built, consumer-friendly automations ready in minutes
→Are an individual professional or very small team with personal productivity needs
→Primarily work within Gmail, Google Calendar, and Slack
Pricing
What you pay vs what you get
All prices as of 2025. Always verify at each vendor's website.
Pricing subject to change — verify current plans at lindy.ai
Verdict: Lindy's per-task pricing is accessible for individual users. Agentplace's flat call-based model is more cost-predictable for teams running many automations.
What Teams Say
From teams who made the switch
Real feedback from people who evaluated both options.
"We used Lindy for a few months and it was great for my personal inbox. But the moment we needed the same agent to work across the team and pull from our internal docs, we hit a wall. Agentplace handled both."
Priya M.
VP of Operations · Series A SaaS
"The BYOK option was the dealbreaker for us. We already have an Anthropic enterprise contract — paying per task on top of that made no sense. Agentplace let us plug in our own keys."
Daniel K.
CTO · Legal tech startup
Common Questions
Common questions about Agentplace vs Lindy
For most business use cases — yes. Agentplace handles everything Lindy does (email, scheduling, CRM updates) and adds multi-runtime deployment, MCP integrations, BYOK, voice mode, and team-sharing. If you specifically need Lindy's consumer-friendly personal assistant UX with zero setup, it remains excellent for that narrow use case.
Yes. Agentplace supports BYOK for OpenAI, Anthropic, and Google Gemini. You keep full control over model spend and can use your existing enterprise API contracts. Lindy does not offer BYOK — all inference runs through their API.
Agentplace supports 1,000+ integrations plus any MCP server. All of Lindy's core integration targets — Gmail, Google Calendar, Slack, HubSpot, Salesforce, Notion — are available on Agentplace. MCP fills the gap for any tool not yet natively listed.
MCP (Model Context Protocol) is an open standard for connecting AI agents to external tools. Instead of bespoke API integrations, any tool with an MCP server plugs into any MCP-compatible agent. Agentplace is MCP-native; Lindy uses proprietary integrations only.
Agents on Agentplace are shared workspaces — build once and share access with your whole team. Permissions, access controls, and SSO (on Business plan) let you manage who can view, edit, or run each agent. Lindy is primarily a per-user tool with limited team-sharing capabilities.
For individuals, pricing is comparable. For teams, Agentplace is typically less expensive because it charges per agent call rather than per task per user. The free tier is generous (full builder access, 1k calls) and the $29/mo Pro plan has no per-seat multiplier.
Get Started
Build agents your whole team can use
Start for free on Agentplace — full builder access, 1k agent calls, MCP integrations, and BYOK. No credit card required.
