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 set fee per unit each month under a contract. There are no separate tiers, instance sizes, or usage add-ons to choose from. The single license covers the managed platform for building, deploying, and running LLM-powered applications, including data indexing, retrieval, hosted structures, and API access. Because pricing is a flat monthly license, your cost scales with the number of units you commit to rather than with usage volume.
Top-of-mind questions for buyers
What does one licensed unit cover on the Griptape Cloud platform?
A unit covers access to the managed platform for building and running LLM-powered applications. This includes data indexing and retrieval, hosted structures and assistants, knowledge bases, conversation memory, and REST API access. You bring your own model provider. The number of units you commit to sets your monthly fee.
Does my monthly cost change if I run more applications or process more data?
The license is a flat monthly fee per unit, not a usage meter. Your cost is set by the number of units you commit to, not by how many applications you run or how much data you process. Running more workloads does not automatically add charges under this dimension.
Do I still pay separately for the LLM models I use with Griptape Cloud?
The license fee covers the managed platform only. Griptape Cloud is designed for you to bring your own model or models. Any costs for your chosen LLM provider are handled outside this license and are not part of the monthly software fee.
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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.