WorkflowsApr 8, 2026·2 min read

Griptape — AI Agent Framework with Cloud Deploy

Build and deploy AI agents with built-in memory, tools, and cloud infrastructure. Griptape provides structured workflows and off-prompt data processing for LLMs.

AG
Agent Toolkit · Community
Quick Use

Use it first, then decide how deep to go

This block should tell both the user and the agent what to copy, install, and apply first.

pip install griptape
from griptape.structures import Agent
from griptape.tools import WebScraperTool, CalculatorTool

agent = Agent(tools=[WebScraperTool(), CalculatorTool()])
agent.run("What is the current price of Bitcoin times 2?")

What is Griptape?

Griptape is a Python framework for building AI agents and workflows with enterprise-grade features. It provides structured pipelines, built-in tools, conversation memory, and off-prompt data processing. Unlike simple agent frameworks, Griptape separates computation from LLM calls — heavy data processing happens off-prompt to save tokens and improve reliability. Griptape Cloud offers managed deployment.

Answer-Ready: Griptape is an enterprise AI agent framework with structured pipelines, 30+ built-in tools, conversation memory, and off-prompt processing. Separates computation from LLM calls for efficiency. Griptape Cloud for managed deployment. 2k+ GitHub stars.

Best for: Teams building production AI agents with complex workflows. Works with: OpenAI, Anthropic Claude, AWS Bedrock, Google Gemini. Setup time: Under 3 minutes.

Core Features

1. Structured Pipelines

from griptape.structures import Pipeline
from griptape.tasks import PromptTask, ToolkitTask

pipeline = Pipeline()
pipeline.add_tasks(
    PromptTask("Research {{ args[0] }}", id="research"),
    PromptTask("Summarize the research above in 3 bullets", id="summarize"),
)
pipeline.run("quantum computing trends 2025")

2. Built-in Tools (30+)

Category Tools
Web WebScraper, WebSearch
Files FileManager, CsvExtractor, PdfReader
Code PythonCodeExecutor, SqlClient
Data VectorStore, Calculator
API RestApi, EmailClient

3. Conversation Memory

from griptape.memory.structure import ConversationMemory

agent = Agent(conversation_memory=ConversationMemory())
agent.run("My name is Alice")
agent.run("What is my name?")  # Remembers: Alice

4. Off-Prompt Processing

from griptape.engines import PromptSummaryEngine

# Large documents processed off-prompt
# Only summaries sent to LLM — saves tokens
agent = Agent(
    tools=[WebScraperTool(off_prompt=True)],
)

5. Workflows (Parallel Execution)

from griptape.structures import Workflow
from griptape.tasks import PromptTask

workflow = Workflow()
research = PromptTask("Research {{ args[0] }}", id="research")
analyze = PromptTask("Analyze {{ args[0] }}", id="analyze")
combine = PromptTask("Combine research and analysis", id="combine")

workflow.add_task(research)
workflow.add_task(analyze)
combine.add_parents([research, analyze])
workflow.add_task(combine)
workflow.run("AI market trends")

FAQ

Q: How does off-prompt processing work? A: Heavy data (web pages, PDFs, CSVs) is processed by dedicated engines outside the LLM context. Only relevant summaries or chunks are passed to the LLM, saving tokens and improving accuracy.

Q: Does it support Claude? A: Yes, natively supports Anthropic Claude, OpenAI, AWS Bedrock, Google, and Azure.

Q: What is Griptape Cloud? A: Managed hosting for Griptape agents with API endpoints, scheduling, and monitoring.

🙏

Source & Thanks

Created by Griptape. Licensed under Apache 2.0.

griptape-ai/griptape — 2k+ stars

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