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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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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.