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Griptape

Griptape is an Apache-2.0 Python framework for building generative AI applications, including agents and workflows that connect language models with tasks, tools, memory and external-service drivers.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Griptape — OpenViST project profile in Agent Frameworks.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Griptape when you need Python components to structure LLM work, connect tools and services, manage memory, or compose tasks into an agent or workflow.

Who it is for

  • Python developers creating generative AI applications.
  • Teams composing LLM tasks into sequential pipelines or parallel workflows.
  • Developers integrating model services, retrieval, data tools or memory into an application.

Documented uses

  • Configure an agent around a single task.
  • Pass task outputs through a pipeline or run tasks in parallel in a workflow.
  • Give LLMs access to built-in or custom tools and retain conversational context.
  • Build modular retrieval, extraction, summarization or evaluation components.
Before you choose

Requirements & limits

  • The framework is Python-based; the repository lists Apache-2.0 as its license.
  • An agent is a single task configured for agent behavior; pipelines sequence tasks, while workflows configure tasks to operate in parallel.
  • Drivers connect to external services and are intended to be replaceable with minimal changes to business logic.
  • Memory has distinct conversation, task and metadata forms, with task memory keeping large or sensitive outputs off the LLM prompt.
  • The README directs developers to separate installation and usage documentation; its examples show OpenAI prompt-driver use.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Run a minimal Griptape prompt task

Create and run a Python prompt task using the OpenAI chat driver shown in the README.

Before you start

  • Python environment with Griptape available.
  • Access to the OpenAI provider configured for the selected model; provider setup is not described here.

Steps

  1. Import OpenAiChatPromptDriver, Rule, and PromptTask from Griptape.

  2. Create a PromptTask with OpenAiChatPromptDriver(model="gpt-4.1") and a rule limiting the answer to a few sentences.

  3. Call task.run("How do I do a kickflip?").

  4. Print result.value.

Expected outcome

The task returns a response, available as `result.value`, which the example prints.

Guide limitations

  • The README example does not document installation or OpenAI credential configuration.
  • The demonstrated model and response do not establish behavior for other providers or prompts.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
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Sources checked
11 October 2026
Original website title
griptape-ai/griptape · Official homepage title · retained in its source language
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