Comparison

Spojit vs Lindy

Two AI-agent platforms, built for different jobs. How Spojit durable, orchestration-grade agents compare with Lindy conversational AI assistants.

The short version

Who each one is for

Spojit

Teams that need agents to run complex, durable, multi-step workflows reliably.

Lindy

Individuals and small teams wanting conversational AI assistants for email, meetings, and CRM.

Side by side

The differences that matter

Feature

Spojit

Lindy

AI approach

Tool-calling agents at the core

AI assistants, core to the product

Durable execution

Checkpointed; resumes after a crash

Durability via Temporal Cloud

Branching and parallelism

Parallel branches that fan out and join

One condition path per run; async multi-agent

Observability

Inspect each step, tool call, and decision

Limited visibility into agent logic

AI operating layer

Miraxa builds, debugs, and optimizes workflows

Builds and runs; debugging is largely manual

Connect a tool with no integration

Miraxa builds the typed node for you

HTTP requests and webhooks, by hand

App catalog

50+ connectors and 500+ tools, plus any API

~250 native, extended via Pipedream

Pricing model

Execution time, plus AI credits for AI steps

Per-seat from $49.99/mo; credits expire monthly

Deployment

Dedicated tenant, VPC, region choice (Enterprise)

Cloud only; SOC 2 and HIPAA

Best for

Complex, durable, multi-step agent workflows

Conversational AI assistants for email, meetings, CRM

Reflects publicly available information as of June 2026. Lindy are trademarks of their respective owners; figures are approximate and may have changed. Check each vendor for the latest.

The AI-native option

Where Spojit fits

Lindy is a strong fit for conversational AI assistants doing single-agent back-office tasks. Spojit is built for agents that run complex, durable, multi-step workflows: parallel branches that join, runs you can inspect, any API reachable through Miraxa, and predictable execution-time pricing. If agents need to do real work reliably across many steps, that is the difference.

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