Griptape
FreePython framework for AI workflows and pipelines with chain of thought reasoning, external tools, and memory. 
About Griptape
Griptape is a modular Python framework designed to simplify the development of generative AI (genAI) applications. It provides a set of straightforward, flexible abstractions for working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and more. Core components include Structures (Agents for single tasks, Pipelines for sequential tasks, Workflows for parallel tasks), Tasks, Memory (Conversation, Task, Meta), Drivers (for LLM orchestration, retrieval storage, multimodal, web, and observability), Tools, and Engines like the RAG engine. It supports chain-of-thought reasoning, external tool integration, and persistent memory to build sophisticated AI workflows.
Key Features
Pros & Cons
- Open-source and free to use
- Modular design allows easy customization and extension
- Supports multiple LLM providers via pluggable drivers
- Built-in memory types for conversation and task context
- Includes a wide range of drivers for retrieval, multimodal, and web interactions
- Active community and frequent updates on GitHub
- Requires Python programming knowledge to use directly
- Steep learning curve for users new to AI frameworks
- Documentation may be overwhelming for beginners
- No built-in graphical interface (separate no-code tool Griptape Nodes available)