griptape-ai/griptape

Health v2 · maintenance only

Adoption not part of the score

2573 stars · 252 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Griptape is a modular Python framework for building generative AI applications, providing abstractions for agents, pipelines, workflows, RAG, tools, and memory. It uses swappable drivers so developers can switch LLM providers and external services with minimal changes to business logic.

Use cases

• build ai agents in python
• orchestrate llm workflows and pipelines
• implement rag pipelines with retrieval and memory
• build multi-agent systems with parallel workflows
• swap between openai anthropic and huggingface models
• add tools and chain-of-thought reasoning to an llm app
• retain conversation memory across llm interactions

When to choose

• you want a Python-first framework for agents, pipelines, and RAG with clean abstractions
• you need provider-agnostic drivers to swap LLM vendors without rewriting logic
• you need built-in conversation, task, and meta memory handling
• you want to compose single agents up to systems of agents and workflows

When to avoid

• you need a no-code visual builder rather than a code framework (consider Griptape Nodes instead)
• you only need raw LLM API calls without orchestration or memory
• your stack is not Python
• you want a fully managed hosting solution rather than a self-managed framework

Facets

framework · maturity active

agent-framework rag llm-inference prompt-engineering chatbot workflow-automation sdk artificial-intelligence large-language-models developer-tools python cross-platform cloud llm-orchestration ai-agents pipelines conversational-memory multi-provider chain-of-thought tools retrieval-augmented-generation automation

Member repositories

For agents

markdown · JSON · MCP: product_card(name="griptape-ai/griptape")