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Comparison · ai-assistants

Dify vs vLLM

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

Dify vs vLLM: at a glance

FeatureDifyvLLM
Sectorai-assistantsai-assistants
Velocity score3.86.3
Sparks · 30d10
Top themesllm-apps, ai-agents, workflow-automation, developer-clillm-inference, prefix-caching, moe-models, mamba
Last editorial update3d ago1mo ago
WebsiteVisit →Visit →

What is Dify?

Dify 1.18 lets Agents pick the next workflow branch and adds a CLI for building apps.

Dify 1.18.0 lets an Agent node choose which workflow branch runs next through Output Routes, packages apps with their Agents, Skills and files into one portable .ifpkg file, and lets users drill into nested workflow runs. It also adds an opt-in Agent Knowledge Base beta and a difyctl CLI over a new OpenAPI, with a bundled skill for coding agents that build Dify apps. Upgrades are heavy: Agent components must move together, the run protocol changes, and source installs need Python 3.13.

Read the full Dify trajectory →

What is vLLM?

vLLM in a six-RC sprint to stabilize v0.29.0 with Mamba and hybrid prefix caching

vLLM is in intensive release candidate territory for v0.29.0, shipping six RC builds in under a week. The work is concentrated on prefix caching for Mamba and hybrid architectures, CUTLASS MoE permutation correctness, and TRT-LLM backend synchronization. None of these are user-visible capabilities — they're pre-release bug convergence.

Read the full vLLM trajectory →

Dify vs vLLM: editorial side-by-side

D
Dify
AI-ASSISTANTS
3.8

Dify 1.18 lets Agents pick the next workflow branch and adds a CLI for building apps.

◆ Current state

Dify 1.18.0 lets an Agent node choose which workflow branch runs next through Output Routes, packages apps with their Agents, Skills and files into one portable .ifpkg file, and lets users drill into nested workflow runs. It also adds an opt-in Agent Knowledge Base beta and a difyctl CLI over a new OpenAPI, with a bundled skill for coding agents that build Dify apps. Upgrades are heavy: Agent components must move together, the run protocol changes, and source installs need Python 3.13.

◆ Where it's heading

Each major release since 1.13 has moved more control from fixed workflow graphs to agents: human-in-the-loop pauses, a sandboxed agent runtime, and now agents that decide the route. difyctl and the bundled skill also make Dify something other agents can operate, not just a visual builder.

◆ Prediction

Expect Agent Knowledge Base to reach Dify Cloud and leave beta, and follow-up 1.18.x patches to smooth the protocol and sandbox-token upgrade.

V
vLLM
AI-ASSISTANTS
6.3

vLLM in a six-RC sprint to stabilize v0.29.0 with Mamba and hybrid prefix caching

◆ Current state

vLLM is in intensive release candidate territory for v0.29.0, shipping six RC builds in under a week. The work is concentrated on prefix caching for Mamba and hybrid architectures, CUTLASS MoE permutation correctness, and TRT-LLM backend synchronization. None of these are user-visible capabilities — they're pre-release bug convergence.

◆ Where it's heading

Repeated prefix-cache fixes for Mamba and hybrid models signal that non-transformer architecture support is being promoted to first-class status in vLLM. The CUTLASS and TRT-LLM work shows backend coverage expanding beyond vanilla GPU inference. Once v0.29.0 stable lands, the next focus is likely speculative decoding maturity — the DSpark and DFlash2 work from earlier entries were architecturally more interesting than anything in this RC cycle.

◆ Prediction

v0.29.0 stable is days away given the RC cadence. The stable release will formally include dense prefix caching as a default for Mamba models, the recurring theme across rc5 and rc6.

Alternatives to Dify and vLLM

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 Dify or vLLM.

See all Dify alternatives → · See all vLLM alternatives →

Recent activity from Dify and vLLM

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

  1. 6d agoDifyv1.18.0 — Smarter Agent Routing, Portable Apps, Deeper Workflow Visibility ⚡
  2. 1mo agoDifyv1.17.1 - Bug Fixes and Improvements
  3. 1mo agovLLMvLLM 0.29.0-rc6: dense prefix cache defaults for hybrid architectures
  4. 1mo agovLLMvLLM 0.29.0-rc5: prefix cache retention defaults for Mamba models
  5. 1mo agovLLMv0.29.0rc4: [Bugfix] Avoid sync in TRT-LLM ragged prefill
  6. 1mo agovLLMvLLM 0.29.0-rc3: CI cleanup, stale Nemotron model reference removed
  7. 1mo agovLLMv0.29.0rc2
  8. 1mo agovLLMv0.29.0rc1: [Bugfix] Handle padded routes in CUTLASS MoE permutations (#54747)
  9. 3mo agoDifyRelease v1.16.1 - Bug Fixes and Security Enhancements
  10. 3mo agoDifyDify Agent: sandboxed Linux runtime ships in experimental ⚡
  11. 5mo agoDifyv1.14.2 - Security fixes, agent groundwork, workflow reliability, and deployment updates
  12. 5mo agoDifyv1.14.1 - Security hardening, workflow stability, and cleaner self-hosted deployments

Frequently asked questions

What is the difference between Dify and vLLM?

They serve adjacent needs but don't currently overlap on shipped themes. vLLM is currently shipping more aggressively (velocity 6.3 vs 3.8), with 0 editorial sparks in the last 30 days against 1. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Dify better than vLLM?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. vLLM is currently shipping more aggressively (velocity 6.3 vs 3.8), with 0 editorial sparks in the last 30 days against 1. For your specific use case, the alternatives sections above list other ai-assistants products to evaluate alongside.

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.

What are the best alternatives to vLLM?

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