AI Agent Platforms and Orchestration
81TriVista score
OpenAI Agents SDK
A free, open-source developer library from OpenAI for building custom AI agents in code, with tools and handoffs between agents.
Dify
AI tool profile ·
A low-code platform for building AI agents and chatbots, free to self-host, with paid cloud plans starting at $590 a year.
72TriVista score
Category rank#10 in AI Agent Platforms and Orchestration
Baseline ELO1,482.3
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At a glance
What it does
Dify is a low-code platform for building and running AI agents, chatbots, and retrieval-augmented generation pipelines, where most setup uses drag-and-drop tools instead of custom code. Users build agent workflows visually and connect a knowledge base for the agent to search, choosing from model providers including OpenAI, Anthropic, Google Gemini, xAI, and Alibaba's Tongyi. It is made by LangGenius. It can be self-hosted for free under its Community edition or run on Dify's own cloud, and the company runs a marketplace for extra tools and plugins. Paid cloud plans add team seats and higher message volumes, and the Enterprise tier adds single sign-on and added security controls.
Where it can help
This fits a team without deep engineering resources that still wants to build and adjust its own agents rather than rely only on prebuilt ones from a larger vendor. A pilot might start on the free Sandbox plan or a self-hosted Community install with one internal use case, such as an FAQ bot, moving to a paid tier only after that works. Published cloud pricing lists a Professional plan near $590 a year for a few team members, a Team plan near $1,590 a year, and Enterprise pricing with single sign-on and dedicated support above that; treat these as planning figures. Because Dify is a smaller vendor than the major cloud providers, check its security documentation carefully before connecting it to sensitive systems.
Company fitHow your company could affect the fit
How one company factor at a time moves the modeled score. The published score is unchanged.
Company fit
How your company could affect the fit
How one company factor at a time moves the modeled score. The published score is unchanged.
Industry Healthcare and life sciences Modeled score71.4 / 100 Modeled category rank#10
Baseline Consumer products
Adjusted ELO 1,478.7
Change from baseline -5.4 ELO
Technology Maturity Low Modeled score73.2 / 100 Modeled category rank#10
Baseline Moderate
Adjusted ELO 1,489.0
Change from baseline +5.0 ELO
Industry Construction and real estate Modeled score71.5 / 100 Modeled category rank#10
Baseline Consumer products
Adjusted ELO 1,479.2
Change from baseline -4.9 ELO
Industry Financial and professional services Modeled score71.5 / 100 Modeled category rank#10
Baseline Consumer products
Adjusted ELO 1,479.2
Change from baseline -4.9 ELO
Industry Energy and utilities Modeled score71.6 / 100 Modeled category rank#10
Baseline Consumer products
Adjusted ELO 1,479.4
Change from baseline -4.7 ELO
Industry Technology and telecommunications Modeled score71.7 / 100 Modeled category rank#10
Baseline Consumer products
Adjusted ELO 1,480.3
Change from baseline -3.8 ELO
Industry Industrial manufacturing Modeled score71.8 / 100 Modeled category rank#10
Baseline Consumer products
Adjusted ELO 1,480.6
Change from baseline -3.5 ELO
Industry Food and beverage Modeled score71.8 / 100 Modeled category rank#10
Baseline Consumer products
Adjusted ELO 1,480.8
Change from baseline -3.2 ELO
Revenue Band $100M-$500M Modeled score71.9 / 100 Modeled category rank#10
Baseline $25M-$100M
Adjusted ELO 1,481.4
Change from baseline -2.7 ELO
Revenue Band Under $25M Modeled score72.0 / 100 Modeled category rank#10
Baseline $25M-$100M
Adjusted ELO 1,482.1
Change from baseline -2.0 ELO
Industry Retail and distribution Modeled score72.6 / 100 Modeled category rank#10
Baseline Consumer products
Adjusted ELO 1,485.5
Change from baseline +1.4 ELO
Industry Automotive and transportation Modeled score72.1 / 100 Modeled category rank#10
Baseline Consumer products
Adjusted ELO 1,482.9
Change from baseline -1.2 ELO
Company Type Business services Modeled score72.5 / 100 Modeled category rank#10
Baseline Manufacturing
Adjusted ELO 1,485.2
Change from baseline +1.1 ELO
Revenue Band $500M-$2B Modeled score72.2 / 100 Modeled category rank#10
Baseline $25M-$100M
Adjusted ELO 1,483.3
Change from baseline -0.8 ELO
Revenue Band Over $2B Modeled score72.4 / 100 Modeled category rank#10
Baseline $25M-$100M
Adjusted ELO 1,484.5
Change from baseline +0.4 ELO
Technology Maturity High Modeled score72.4 / 100 Modeled category rank#10
Baseline Moderate
Adjusted ELO 1,484.3
Change from baseline +0.2 ELO
Cost guide
What it can cost
These estimates cover licensing, setup, integrations, staff time, security, administration, and support.
| Cost measure | Low | Base | High |
|---|---|---|---|
| First-year total | $57.8K | $91.9K | $149.2K |
| Three-year total | $121.4K | $184.7K | $288K |
| First-year cost per unit | $57.8K | $91.9K | $149.2K |
| Average annual cost per unit (over three years) | $40.5K | $61.6K | $96K |
Cost breakdown by scenario
| Component | Low | Base | High |
|---|---|---|---|
| Licensing and usage | $16.5K | $22K | $29.7K |
| Implementation | $9.6K | $16K | $27.2K |
| Integration | $12.1K | $22K | $39.6K |
| Staff time and change management | $6.3K | $9K | $12.6K |
| Security | $4.9K | $7K | $10.5K |
| Administration | $3.8K | $5K | $6.8K |
| Support | $1.9K | $2.5K | $3.4K |
Estimate assumptions: This scenario uses a category-based allowance, not a verified price for this product. Based on 1 production deployment. Confirm the vendor’s billing unit and current price or quote before budgeting.
Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.
Get started
What you need first
What you need firstSet up the basics
Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.
How to startSet clear limits
Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot
Before you scaleSet safe working rules
Recommended next action
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Decision ownerBusiness and technology owner
STARTSet a goal and owner
Define what success looks like for a test of Dify and assign someone to lead it.
FIRST MONTHTest one workflow
Once the requirements above are met, compare a small trial with how your team works today.
MONTH TWOReview actual use
Track adoption, output quality, business results, and actual costs against the estimate.
MONTH THREEDecide what comes next
Use the results to decide whether to stop, adjust, or expand the pilot.
Risk profile
Required controls
Security and safe use
Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.
Exit and rollback
Review before rollout: confirm how to export your data, revoke access, and return to your existing workflow. Assign an owner and test the rollback plan before expanding use.
Recommended next step
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
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Research support
How to learn more about this tool
Where to check the product, price, security, and support.
Official product information
Dify current product page
Read official information →
Research observations recorded: 1. Evidence quality: Some support.
Score history
How the rating has changed
Recorded score and category rank across research updates.
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TriVista Score 72.0/100Category rank #10
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TriVista Score 72.0/100Category rank #10
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