Griptape — Modular Python Agent Framework

Griptape

Griptape is a production-grade Python framework for building deterministic AI agents and pipelines. Unlike graph-based orchestration, Griptape uses composable drivers and tasks that keep agent behaviour predictable and auditable.

Key Features

• Prompt Drivers: swap LLM backends without code changes
• Tool system with automatic schema generation for any Python function
• Conversation Memory and Task Memory for multi-turn agents
• Pipelines and Workflows for sequential and parallel task orchestration
• Cloud offering (Griptape Cloud) for hosted execution and observability
• First-class support for OpenAI, Anthropic, Cohere, Hugging Face, and local models

Quick Start

from griptape.structures import Agent
from griptape.tools import WebSearch, TaskMemoryClient

agent = Agent(tools=[WebSearch(), TaskMemoryClient(off_prompt=False)])
agent.run("What are the top AI agent frameworks in 2026?")

Install via ai-supply

npx ai-supply add griptape-modular-agent-framework

Curated mirror of the open-source Griptape (Apache-2.0). Get it from the source.