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Comparison · ai-assistants

Lindy vs Dify

A side-by-side editorial comparison of Lindy and Dify — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:ai-agents

Lindy vs Dify: at a glance

FeatureLindyDify
Sectorai-assistantsai-assistants
Velocity score0.06.3
Sparks · 30d01
Top themesai-agents, computer-use, agent-builder, no-codellm-apps, ai-agents, observability, workflow-automation
Last editorial update3mo ago9d ago
WebsiteVisit →Visit →

What is Lindy?

Lindy bets the whole product on the 'AI employee' — agent builder, computer-use autopilot, and an app builder.

Lindy is an AI-agent platform pursuing an explicit 'AI employee' thesis: agents you direct in natural language that can act across your tools. The last two major releases pushed hard on that — Lindy 3.0 reframed agent creation as vibe-coding and added an Autopilot that gives each agent its own cloud computer, and Lindy Build extended the platform into AI web-app creation. More recent entries are workflow quality-of-life (retries, task search, sharing, version renaming) layered on top of that foundation. Note the surfaced feed appears to stop in late 2025, so newer moves aren't visible here.

Read the full Lindy trajectory →

What is Dify?

Dify 1.19 traces workflows layer by layer, down to the LLM calls inside nested tools.

Dify 1.19.0 sends nested workflow traces to external observability tools: steps inside called Workflow Tools now appear beneath the span that invoked them, with prompts, responses and token usage attached. It also makes Workflow Tools portable inside App packages, adds Skill Hub automation and easier Agent file uploads. It follows 1.18.0, which let an Agent node pick the next workflow branch and introduced the .ifpkg package and difyctl CLI.

Read the full Dify trajectory →

Lindy vs Dify: editorial side-by-side

L
Lindy
AI-ASSISTANTS
0.0

Lindy bets the whole product on the 'AI employee' — agent builder, computer-use autopilot, and an app builder.

◆ Current state

Lindy is an AI-agent platform pursuing an explicit 'AI employee' thesis: agents you direct in natural language that can act across your tools. The last two major releases pushed hard on that — Lindy 3.0 reframed agent creation as vibe-coding and added an Autopilot that gives each agent its own cloud computer, and Lindy Build extended the platform into AI web-app creation. More recent entries are workflow quality-of-life (retries, task search, sharing, version renaming) layered on top of that foundation. Note the surfaced feed appears to stop in late 2025, so newer moves aren't visible here.

◆ Where it's heading

The direction is unambiguous from these entries: broaden what an agent can autonomously do (computer-use Autopilot to reach legacy systems and tools APIs can't), lower the skill floor to build one (natural-language agent building), and make agents a shared org asset (team accounts). Integration breadth — 500+ actions via Pipedream, model choices across o3 and Gemini — is the connective tissue underneath.

◆ Prediction

The observable pattern points to deeper autonomy: more reliable Autopilot/computer-use and tighter agent-monitoring so teams can trust agents to run unattended. Because the visible feed ends in 2025, it's unclear what has shipped since — that's the main gap.

D
Dify
AI-ASSISTANTS
6.3

Dify 1.19 traces workflows layer by layer, down to the LLM calls inside nested tools.

◆ Current state

Dify 1.19.0 sends nested workflow traces to external observability tools: steps inside called Workflow Tools now appear beneath the span that invoked them, with prompts, responses and token usage attached. It also makes Workflow Tools portable inside App packages, adds Skill Hub automation and easier Agent file uploads. It follows 1.18.0, which let an Agent node pick the next workflow branch and introduced the .ifpkg package and difyctl CLI.

◆ Where it's heading

After several releases that made agents act inside workflows, Dify is now making that behaviour inspectable and portable. Tracing nested calls and packaging tools with apps are what teams need before trusting agent-routed workflows in production.

◆ Prediction

Expect more observability and evaluation work around agent decisions, such as tracing why an Agent chose a route. Packaging will likely extend to more component types as .ifpkg becomes the deployment unit.

Alternatives to Lindy and Dify

Other ai-assistants products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Lindy or Dify.

See all Lindy alternatives → · See all Dify alternatives →

Recent activity from Lindy and Dify

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 10d agoDifyv1.19.0 - Trace Your Workflows, Layer by Layer
  2. 22d agoDifyv1.18.0 — Smarter Agent Routing, Portable Apps, Deeper Workflow Visibility ⚡
  3. 2mo agoDifyv1.17.1 - Bug Fixes and Improvements
  4. 3mo agoDifyRelease v1.16.1 - Bug Fixes and Security Enhancements
  5. 4mo agoDifyDify Agent: sandboxed Linux runtime ships in experimental ⚡
  6. 5mo agoDifyv1.14.2 - Security fixes, agent groundwork, workflow reliability, and deployment updates
  7. 1y agoLindyRetries, task search and filter, version renaming, copy and paste between agents
  8. 1y agoLindyTask sharing, terminate button
  9. 1y agoLindyApp builder ⚡
  10. 1y agoLindyLindy 3.0 ⚡
  11. 1y agoLindy500+ new actions across Hubspot, Notion, Coda, Airtable, Quickbooks, and more
  12. 1y agoLindyAutosave and drafts, Gemini 2.5 Flash Lite

Frequently asked questions

What is the difference between Lindy and Dify?

Both compete on the same themes — ai-agents — within ai-assistants. Dify is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Lindy better than Dify?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Dify is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other ai-assistants products to evaluate alongside.

What are the best alternatives to Lindy?

Top Lindy alternatives in ai-assistants are ranked by recent ship velocity. Browse the "Lindy alternatives" section above for the current picks, or visit /alternatives/lindy for the full list with editorial commentary on each.

What are the best alternatives to Dify?

Top Dify alternatives in ai-assistants are ranked by recent ship velocity. Browse the "Dify alternatives" section above for the current picks, or visit /alternatives/dify for the full list with editorial commentary on each.