Griptape gives you three shapes: agents for open ended work, pipelines for sequences, and workflows for graphs. It leans on explicit structure and off prompt memory to keep token spend predictable.
Reach for it when
- You want structure rather than an open ended loop
- Token cost predictability matters to you
- You are handling large documents
Look elsewhere when
- You want the smallest possible library
- Your team already knows another framework well
What the lessons will cover
- 01Install and setup
- 02Agents
- 03Pipelines
- 04Workflows
- 05Tools
- 06Memory and drivers
- 07Rulesets
- 08A production workflow
Others in autonomous
AutoGPTGive it a goal and walk away.
AgnoFast, lightweight agents with memory built in.
LettaAgents that manage their own memory.
smolagentsA tiny agent library that writes Python.Common questions
Is Griptape free to use?
Griptape is open source and free to run yourself. You still pay whichever model provider you point it at, and this tutorial is free with no signup.
Do I need to know Python to use Griptape?
Basic Python is enough. Functions, dictionaries and imports cover most of what Griptape asks of you.
When should I not use Griptape?
You want the smallest possible library. Your team already knows another framework well.
Lessons for Griptape are being written. Meanwhile the LangGraph tutorial covers the same ground: state, tools, loops, memory and human approval. Most of it carries straight over.
Start the LangGraph tutorial →