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Comparison · ai-assistants

Alhena AI vs Dify

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

Alhena AI vs Dify: at a glance

FeatureAlhena AIDify
Sectorai-assistantsai-assistants
Velocity score5.06.3
Sparks · 30d00
Top themesagentic-commerce, benchmark-research, ai-visibility, retail-aiagent-runtime, workflow-orchestration, human-in-the-loop, skills
Last editorial update1d ago21d ago
WebsiteVisit →Visit →

What is Alhena AI?

Alhena is building the scoreboard for shopping agents it also competes in.

The feed has consolidated around one piece of original research: a 2026 stress test running fifteen live AI shopping agents through real storefronts as ordinary shoppers. The headline numbers repeat across several posts — all fifteen could answer questions, nine could sell, four could complete a return or order change, and one remembered the shopper on a return visit. Around that sit vertical censuses of who is actually live in health and wellness retail, an attribution model for measuring agents, and comparison pages against AI visibility platforms including Profound.

Read the full Alhena AI 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 →

Alhena AI vs Dify: editorial side-by-side

A
Alhena AI
AI-ASSISTANTS
5.0

Alhena is building the scoreboard for shopping agents it also competes in.

◆ Current state

The feed has consolidated around one piece of original research: a 2026 stress test running fifteen live AI shopping agents through real storefronts as ordinary shoppers. The headline numbers repeat across several posts — all fifteen could answer questions, nine could sell, four could complete a return or order change, and one remembered the shopper on a return visit. Around that sit vertical censuses of who is actually live in health and wellness retail, an attribution model for measuring agents, and comparison pages against AI visibility platforms including Profound.

◆ Where it's heading

Alhena is defining the category's measuring stick and choosing metrics where most competitors fail — acting rather than answering, and remembering across sessions. Publishing a dated census that separates shipped assistants from announced intent serves the same purpose: it establishes Alhena as the arbiter of what counts as live. The vertical focus on supplements and wellness, with its FDA claims boundary and subscription economics, looks like a deliberately chosen beachhead rather than broad retail coverage.

◆ Prediction

Expect the stress test to become a recurring dated benchmark with more agents and more verticals, and for the act-and-remember gap it identifies to be positioned as what Alhena's own product closes.

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 Alhena AI 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 Alhena AI or Dify.

See all Alhena AI alternatives → · See all Dify alternatives →

Recent activity from Alhena AI and Dify

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

  1. 1d agoAlhena AIDo AI Shopping Assistants Remember You? Only 1 in 15 does
  2. 4d agoAlhena AIWhy Can't My AI Agent Complete a Return? Inside the answer-to-act gap
  3. 6d agoAlhena AIThe State of Agentic CX in 2026: Why AI Shopping Agents Answer in Unison but Act Alone
  4. 20d agoAlhena AIWho's Actually Live: AI Assistants in Health & Wellness Retail (July 2026)
  5. 22d agoDifyRelease v1.16.1 - Bug Fixes and Security Enhancements
  6. 25d agoAlhena AIMeasuring AI Agents for Wellness Brands: Benchmarks and an Honest Attribution Model
  7. 25d agoAlhena AIThe Wellness Brand's AI Agent Playbook: Knowledge, Guardrails, and Subscriptions
  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 Alhena AI 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 Alhena AI 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 Alhena AI?

Top Alhena AI alternatives in ai-assistants are ranked by recent ship velocity. Browse the "Alhena AI alternatives" section above for the current picks, or visit /alternatives/alhena 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.