Independent register of AI agents & harnesses · no sponsored placementsEdition 2026-09 · 107 entries · evidence to 26 Sept 2026

The Register / Agent-building platforms / Dify

Register entry · Agent-building platforms · updated 26 Sept 2026

Dify

Dify is a visual platform for building chat apps, agentic workflows and RAG knowledge bases on top of many model providers. It can be self-hosted with Docker (Community Edition), used as Dify Cloud, or deployed as Dify Enterprise. The code is published under the Dify Open Source License, an Apache-2.0-derived licence with extra conditions (for example on multi-tenant SaaS use), so it is not OSI open source. Version 1.16 (July 2026) added a beta shell-based 'Dify Agent' with sandboxed execution.

What reviewers and users praise

  • Independent reviewers rate it among the stronger open-source AI app builders (aitoolradar 4.4/5, SaaS Compared)
  • Some users see it as a direct starting point for knowledge-base apps (Reddit)
  • Self-hostable, with published SOC 2 Type II and ISO 27001 for the commercial offering

What they criticise

  • Several users describe its RAG retrieval quality as weak (Reddit, August 2026)
  • Customising beyond the visual builder is reported to be hard (Reddit)
  • Recurring high-severity advisories, including cross-tenant data exposure, in 2026
Rating certificate · AW/26-09/12326 Sept 2026

Dify

LangGenius, Inc. · Agent-building platforms

ProvisionalTrust B
Adoption86
Experts—
Crowd40
Experts vs the crowdneeds both scores
Experts—
Crowd40
PriceFree, paid from $590
Use it viaWeb app, API, MCP server
Runs onweb, linux, macos, windows
LicenceLicenseRef-Dify-Open-Source-License
UpdatedEvidence collected 26 Sept 2026

How the rating was worked out

Weights for Agent-building platforms: adoption 35%, experts 35%, crowd 30%. Pillars without enough evidence are left out and the others re-weighted. The method.

Adoption & momentumweight 35%86GitHub stars 157k → 97 · 5 releases in 90 days → 60
reach × 0.7 + momentum × 0.3
Expertsindependent reviews · weight 35%—Only 1 independent review (3 needed)
Crowdcommunity sample · weight 30%409 dated posts from reddit, hackernews: 2 positive · 2 mixed · 5 negative
(positive + ½ mixed) ÷ n, averaged toward 50 for small samples
Rating65Provisional: low confidence (2 of 3 pillars, 9 community posts).

Evidence checks. 3 reviews from tool directories, AI-written pages or unnamed authors not counted. 1 post over the three-per-thread limit not counted. How evidence is checked.

Trust & safety

Seven dimensions graded A–D from documented facts. Overall: B.

n/e

Permission model

Dify Agent (beta, 1.16+) runs shell/code in a local sandbox or E2B cloud sandbox; release notes warn to offer it 'only to trusted, non-malicious users'. Per-action approval modes not established. source

n/e

Data access scope

Not established.

A

Data storage

Community Edition and Enterprise can be self-hosted (Docker Compose, VPC); Dify Cloud optional. source

B

Data retention & training

Privacy policy: 'we will not use your AI interaction data for model training'; sub-processor model providers are contractually barred from training. Retention period is 'as long as necessary' (no fixed period); Sandbox plan keeps 30-day logs. source

C

Incident history (24 months)

21 GitHub security advisories published 2024-09-26 to 2026-09-26 (8 high, none rated critical), including cross-tenant data disclosure and an unauthenticated SSRF, all with fixes. HN commenters also cite a 'React2Shell' incident affecting Dify (not independently verified here). source

A

Compliance

dify.ai states Dify Enterprise holds 'SOC 2 Type II + ISO 27001'; pricing page shows GDPR, AICPA SOC 2 and ISO 27001 badges. source

B

Transparency

Source published on GitHub under an Apache-2.0-derived licence with additional conditions (not OSI-approved); detailed public release notes. source

The experts

1 named independent reviews found; dated reviews from the last 12 months are scored.

  • mixed
    Dify democratizes AI agent building, but it's not magic. You still need to understand how AI worksNova (dev.to) · 24 Apr 2026 · dev.to

The crowd

9 coded posts from reddit, hackernews.

2 positive2 mixed5 negative
  • negative
    I wish I could say this but Dify's retrieval is not decent from any level. It needs a lot of improvement.r/AI_Agents · 14 Aug 2026 · reddit.com
  • negative
    Dify's RAG is definitely rough compared to Copilot Studio.r/AI_Agents · 14 Aug 2026 · reddit.com
  • positive
    Dify is probably the best starting point for the content-generation and knowledge-base part.r/AI_Agents · 11 Aug 2026 · reddit.com
  • negative
    Personally my experience with rag on dify was not satisfactory.r/AI_Agents · 18 Aug 2026 · reddit.com
  • mixed
    the knowledge base thing works fine but the ingestion on big pdfs can be slow sometimes.r/AI_Agents · 18 Aug 2026 · reddit.com
  • mixed
    Dify is great until you try to customize the underlying pythonr/AI_Agents · 26 May 2026 · reddit.com
  • positive
    all generated by one Dify workflow in under 60 seconds.r/AI_Agents · 21 Apr 2026 · reddit.com
  • negative
    Zapier's npm account (425 packages, Shai Hulud malware) and Dify's React2Shell incident both followed the same vectorTell HN: Litellm 1.82.7 and 1.82.8 on PyPI are compromised · 25 Mar 2026 · news.ycombinator.com

Pricing

As published, checked 26 Sept 2026.

PlanPriceNotes
Community (self-hosted)FreeAll core features in the public repository.
Sandbox (cloud)Free200 message credits, 1 member, 5 apps, 30-day log history.
Professional (cloud)$590 / yearly$590 per workspace/year; 5,000 message credits/month, 3 members, 50 apps.
Team (cloud)$1590 / yearly$1590 per workspace/year; 10,000 message credits/month, 50 members, 200 apps.
EnterpriseCustomContact sales; SSO, VPC/self-hosted deployment.

Recent changes

Ranked alongside

Other ranked entries in Agent-building platforms.

Compare with the top two
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Sources

Every figure above traces to one of these, observed up to 26 Sept 2026.

  1. Dify pricing
  2. Dify privacy policy (AI interaction data, retention)
  3. IF Con Tokyo 2026 (LangGenius K.K. conference, 2026-09-10)