Griptape Cloud provides managed services for your AI app stack. Deploy and scale end-to-end solutions, from LLM-powered data prep and retrieval to AI Agents, Pipelines, and Workflows.
Build Your Own RAG Pipeline Connect to your data with our Data Sources and prepare them for retrieval with Knowledge Bases.
Host and Run Your Code Have Griptape code? Have existing code with another LLM framework? You can host your Python code using Structures whether it uses the Griptape Framework or not.
Store Configuration for LLM Agents Rules and Rulesets enable rapid and collaborative iteration for managing LLM behavior. Threads and Messages allow for persisted and editable conversation memory across any LLM invocation.
APIs All of our features can be called via API with a Griptape Cloud API Key. See the API Reference for detailed information.
Highlights
Griptape is an end-to-end AI application stack that enables teams of developers to efficiently build, deploy and manage secure AI applications with predictable output.
Griptape gives developers everything they need, from the development framework to the execution runtime.
Design to Proof of Concept in 4 Weeks. Deliver on the promise of AI with the expertise of ex-AWS engineers, supercharged with tech-enabled services through the Griptape AI platform.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing has one pricing dimension: a monthly software license fee for Griptape Cloud. You pay a fixed monthly charge under a contract, so cost stays predictable regardless of usage. Griptape Cloud is a managed platform for building, deploying, and operating LLM-powered applications with your own data. The license covers hosted components such as data indexing, retrieval, agents, and application runtime. There are no separate usage-based charges or add-on tiers on the Marketplace. You commit to the monthly rate for the license term and multiply by the number of units you need.
Top-of-mind questions for buyers
What counts as one license unit for the monthly software license fee?
One unit represents one monthly software license for Griptape Cloud. You select the number of units you need and multiply by the monthly rate. The units set the scope of your entitlement to the managed platform for the license term.
What does the monthly license cover on the Griptape Cloud platform?
The license covers hosted platform components for building and running LLM-powered applications. This includes managed data indexing and retrieval, hosted agents and structures, knowledge bases, data lakes, conversation memory, tools, and application runtime. You bring your own model provider.
Does my monthly cost change based on how much I use the platform?
No. You pay a fixed monthly charge under the contract. There are no separate usage-based charges or add-on tiers on the Marketplace. Cost stays predictable regardless of application activity, though your own model provider may bill you separately.
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Free Premium Support available from Monday to Friday, with a dedicated Slack support channel. support@griptape.ai
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Effective, Modular Python Framework for Building AI Agents and Workflows
Reviewed on Jan 30, 2026
Review provided by G2
What do you like best about the product?
An effective and modular and developer friendly building ai agents and helps me to create effective workflows, their python based framework makes it easier to compose AI logic.
What do you dislike about the product?
This platform is still gaining adoption and real world expertise, this can be or should be expanded further.
What problems is the product solving and how is that benefiting you?
It helps me by solving the problem of building reliable and scalable AI applications beyond simple prompt-based experiments.