Griptape is a modular Python framework for building AI agents and workflows with chain-of-thought reasoning, tools, and memory. It provides Agents, Pipelines, and Workflows as core structures, with pluggable drivers for LLMs, embeddings, vector stores, and more.
Scanned 6/8/2026
Install via CLI
openskills install agentskillexchange/skills---
name: "Griptape Modular Python AI Agent and Workflow Framework"
slug: "griptape-python-ai-agent-framework"
description: "Griptape is a modular Python framework for building AI agents and workflows with chain-of-thought reasoning, tools, and memory. It provides Agents, Pipelines, and Workflows as core structures, with pluggable drivers for LLMs, embeddings, vector stores, and more."
github_stars: 2511
verification: "security_reviewed"
source: "https://github.com/griptape-ai/griptape"
category: "Developer Tools"
framework: "Custom Agents"
tool_ecosystem:
github_repo: "griptape-ai/griptape"
github_stars: 2511
---
# Griptape Modular Python AI Agent and Workflow Framework
Griptape is a modular Python framework for building AI agents and workflows with chain-of-thought reasoning, tools, and memory. It provides Agents, Pipelines, and Workflows as core structures, with pluggable drivers for LLMs, embeddings, vector stores, and more.
## Installation
Requirements and caveats from upstream:
- [](https://pypi.python.org/pypi/griptape)
- Griptape is a Python framework designed to simplify the development of generative AI (genAI) applications.
- python
Basic usage or getting-started notes:
- 🏗️ **Structure Run Drivers**: Execute structures locally or in the cloud.
- Please visit the [docs](https://docs.griptape.ai/) for information on installation and usage.
- ## Hello World Example
- Source: https://github.com/griptape-ai/griptape
- Extracted from upstream docs: https://raw.githubusercontent.com/griptape-ai/griptape/HEAD/README.md
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/griptape-python-ai-agent-framework/)
No comments yet. Be the first to comment!
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.