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Comparison · ai-assistants

Cherry Studio vs Dify

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

Cherry Studio vs Dify: at a glance

FeatureCherry StudioDify
Sectorai-assistantsai-assistants
Velocity score5.06.3
Sparks · 30d00
Top themesdesktop-ai-client, v2-rewrite, data-migration, llm-providersagent-runtime, workflow-orchestration, human-in-the-loop, skills
Last editorial update1d ago21d ago
WebsiteVisit →Visit →

What is Cherry Studio?

The v2 rewrite has shipped; Cherry Studio is back to patch releases.

Cherry Studio spent late July running a v2.0.0 release train - three betas and five release candidates inside two weeks - to land a rewrite that had merged into main while v1 code still sat alongside it. The August entry is v2.0.6, a single Files-page bug fix, which puts the product past the rewrite and into ordinary patch cadence. The feed never carried a v2.0.0 GA note: it jumps from rc.5 on 4 August straight to v2.0.6 on 17 August.

Read the full Cherry Studio trajectory →

What is Dify?

Dify is rebuilding itself around a sandboxed agent runtime, with the workflow builder as the legacy layer.

Dify still ships as an LLM app platform — visual workflows, a knowledge base with vector retrieval, and self-hosted Docker deployment. But the last two release cycles have moved the center of gravity: a sandboxed Linux agent runtime, a Skill Editor for packaging reusable capabilities, and a Human Input node that lets a workflow pause for review. Between those, the releases are patch work: tenant isolation fixes, self-hosted SECRET_KEY hardening, and workflow-editor ergonomics.

Read the full Dify trajectory →

Cherry Studio vs Dify: editorial side-by-side

C
Cherry Studio
AI-ASSISTANTS
5.0

The v2 rewrite has shipped; Cherry Studio is back to patch releases.

◆ Current state

Cherry Studio spent late July running a v2.0.0 release train - three betas and five release candidates inside two weeks - to land a rewrite that had merged into main while v1 code still sat alongside it. The August entry is v2.0.6, a single Files-page bug fix, which puts the product past the rewrite and into ordinary patch cadence. The feed never carried a v2.0.0 GA note: it jumps from rc.5 on 4 August straight to v2.0.6 on 17 August.

◆ Where it's heading

The release train's substance was migration safety rather than new capability - preserving model endpoint routing, stopping table-recreate migrations from silently deleting child rows, keeping Claude session and workspace continuity, restoring guarded v1 style migration. Provider work continued underneath it, with Gemma 4 thinking in Ollama, a Radeon Cloud integration, and a configurable default endpoint. The priority through the whole train was getting existing users across the v1/v2 boundary with their data and settings intact.

◆ Prediction

With v2 out and the patch stream started, the next entries should shift back from migration repair to provider and agent features - the strand that kept moving quietly through the rc series.

D
Dify
AI-ASSISTANTS
6.3

Dify is rebuilding itself around a sandboxed agent runtime, with the workflow builder as the legacy layer.

◆ Current state

Dify still ships as an LLM app platform — visual workflows, a knowledge base with vector retrieval, and self-hosted Docker deployment. But the last two release cycles have moved the center of gravity: a sandboxed Linux agent runtime, a Skill Editor for packaging reusable capabilities, and a Human Input node that lets a workflow pause for review. Between those, the releases are patch work: tenant isolation fixes, self-hosted SECRET_KEY hardening, and workflow-editor ergonomics.

◆ Where it's heading

The arc from 1.13 to 1.16 is a conversion from graph-first to agent-first. HITL came first, making the workflow engine tolerant of pauses and external decisions; then the agent runtime arrived to fill those graphs with something that plans rather than follows edges. Dify Agent shipping as an explicit experiment — with a warning to expose it only to trusted users — signals the sandbox isolation is not yet production-grade, which is why the surrounding releases spend so much effort on tenant scoping and credential permissions.

◆ Prediction

Expect Dify Agent to leave experimental status in a 1.17 or 1.18 release once the sandbox and credential-scoping work lands, with Skills becoming a shareable artifact alongside the existing app DSL export.

Alternatives to Cherry Studio 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 Cherry Studio or Dify.

See all Cherry Studio alternatives → · See all Dify alternatives →

Recent activity from Cherry Studio and Dify

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

  1. 2d agoCherry StudioFiles page keeps the upload button in every category
  2. 14d agoCherry Studiorc.5: Gemma 4 thinking in Ollama, anchor rail navigation
  3. 17d agoCherry Studiorc.4: Radeon Cloud provider and configurable endpoints
  4. 19d agoCherry Studiorc.3: knowledge, export, and accessibility fixes
  5. 20d agoCherry Studiorc.2: migration fixes protect routing and child rows
  6. 21d agoCherry Studiorc.1: packaging and onboarding fixes
  7. 22d agoDifyRelease v1.16.1 - Bug Fixes and Security Enhancements
  8. 1mo agoDifyDify Agent: a sandboxed shell agent you build from Skills
  9. 3mo agoDifyv1.14.2 - Security fixes, agent groundwork, workflow reliability, and deployment updates
  10. 3mo agoDifyv1.14.1 - Security hardening, workflow stability, and cleaner self-hosted deployments
  11. 6mo agoDifySandboxed agent runtime and a Skill Editor arrive in 1.14.0-rc1
  12. 6mo agoDify1.13.0 - Human-in-the-Loop and Workflow Execution Upgrades

Frequently asked questions

What is the difference between Cherry Studio and Dify?

They serve adjacent needs but don't currently overlap on shipped themes. Dify is currently shipping more aggressively (velocity 6.3 vs 5.0), with 0 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 Cherry Studio 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 5.0), with 0 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 Cherry Studio?

Top Cherry Studio alternatives in ai-assistants are ranked by recent ship velocity. Browse the "Cherry Studio alternatives" section above for the current picks, or visit /alternatives/cherry-studio 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.