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catalog / Agentic capability / Griptape — Modular Python Agent Framework
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Griptape — Modular Python Agent Framework

Modular Python framework for building AI agents with chain-of-thought reasoning, tool use, memory, and structured workflows.

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설치 수85k
평점★ 4.5
리뷰28
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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.

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