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LLMGraph

● Identity checked

Assistant · Vendor site 2026-10-04

LLMGraph is a no-code platform for building customer-support chatbots, RAG assistants, and agent workflows on a visual graph or via chat prompts, then shipping them to a REST endpoint and embeddable widget with hosted dev, staging, and production environments.

Updated 2026-10-04View sources
Official website
Category
Assistant
Free access
New teams start with included free model credits and no card required before choosing a paid workspace plan.
API access
Shipped workflows expose a REST API endpoint (for example POST /v1/workflows/...) documented on the homepage.

Is LLMGraph right for you?

A good fit for

Support and product teams that want to ground chatbots in company docs and deploy the same workflow to API and web chat surfaces.

Before you choose

Platform fees are per workspace with seat add-ons, and model usage beyond included Token Credits is metered separately.

Graph-based LLM workflows

LLMGraph combines visual graph editing and natural-language workflow creation so teams can ground support bots in knowledge bases and deploy the same logic to APIs and embedded chat widgets.

What it can do

Features & capabilities

Unknown is different from unavailable. Each fact carries its own evidence.

CapabilityValueEvidenceChecked
No-code builderHomepage describes building RAG chatbots and agents on a canvas or by describing workflows in chat, without code.Facts sourced2026-10-04
Hobby pricingPricing page publishes Hobby at $40/month platform fee plus $5 per additional seat.Facts sourced2026-10-04
Model catalogHomepage lists foundation models including Claude Sonnet 4.5, Claude Haiku 4.5, Llama 3.1, Mistral Large, and Amazon Nova Pro.Facts sourced2026-10-04

Understand the total cost

LLMGraph pricing & plans

Hobby

$40.00 /mo

Pricing page lists a $40/month platform fee plus $5 per additional seat, billed monthly in USD.

Token Credits
8.8M TC included, sized for about 1,000 workflow runs per month
Deployment
Visual and chat builder with REST API and embeddable widget

Enterprise

$2000.00 /mo

Pricing page lists a $2,000/month platform fee plus $50 per additional seat with sales contact for Enterprise.

Token Credits
880M TC included, sized for about 100,000 workflow runs per month
Support
Priority support on the Enterprise plan
Explore pricing & history

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The practical questions

Frequently asked questions

Do I need a credit card to start?

LLMGraph states your first team includes free model credits and no card is required to start; billing begins after you add a card and activate a plan.

What's a Token Credit?

Token Credits meter model usage at 1 TC = $0.000001, with monthly buckets per plan and overage billed at $1 per million TC.

Are workflow runs capped or metered?

LLMGraph says workflow runs are not metered or capped; only model token usage counts toward Token Credits.

What is LLMGraph used for?

LLMGraph is a no-code platform for building customer-support chatbots, RAG assistants, and agent workflows on a visual graph or via chat prompts, then shipping them to a REST endpoint and embeddable widget with hosted dev, staging, and production environments.

Does LLMGraph have a free plan?

New teams start with included free model credits and no card required before choosing a paid workspace plan.. This record does not confirm an ongoing free plan.

How much does LLMGraph cost?

The listed monthly price is $40.00 USD at monthly billing. See the plan cards for entitlements, billing commitments and seat minimums.

Can I use LLMGraph through an API?

Shipped workflows expose a REST API endpoint (for example POST /v1/workflows/...) documented on the homepage.. API access and subscription access may have different terms; consult the linked sources.

What should I check before choosing it?

Platform fees are per workspace with seat add-ons, and model usage beyond included Token Credits is metered separately.

Price history

No retained pricing changes yet. A current price alone does not establish a historical trend.

How this profile is supported

Facts apply to the named version and check date. Send a sourced correction if something changed.