Griptape Framework
Apache-licensed Python framework for agents, pipelines, workflows, RAG, tools, memory, and provider drivers
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What this product helps you do
Griptape Framework is Foundry's Apache-licensed Python toolkit for generative-AI applications. Its Structures model includes single-task agents, sequential pipelines, and parallel workflows; Tasks can use tools, engines, rules, memory, and a broad set of drivers for models, vector stores, files, SQL, search, scraping, media, and observability. The framework is free and can execute locally or through configured structure-run drivers. Griptape Nodes is a separate visual desktop product, and managed or enterprise offerings have their own commercial terms, so buyers should distinguish the open-source framework from adjacent Griptape products.
Problems it solves
- Developers need reusable abstractions for agents, sequential pipelines, and parallel workflows
- Applications need to swap model, retrieval, storage, search, media, and observability providers without rewriting all business logic
- RAG, extraction, summarization, evaluation, and tool use require consistent task and artifact handling
- Teams need memory options that can keep large or sensitive intermediate data outside the model prompt
Griptape Framework is an Apache-licensed Python toolkit for agents, sequential pipelines, parallel workflows, tools, memory, RAG, extraction, summarization, evaluation, and swappable provider drivers.
The framework is free, but models, data services, infrastructure, and operations remain separate. Griptape Nodes and managed or enterprise products are distinct commercial offerings.
Information
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Griptape Framework
Apache-licensed Python framework for agents, pipelines, workflows, RAG, tools, memory, and provider drivers
Griptape Framework is an Apache-licensed Python toolkit for agents, sequential pipelines, parallel workflows, tools, memory, RAG, extraction, summarization, evaluation, and swappable provider drivers.
The framework is free, but models, data services, infrastructure, and operations remain separate. Griptape Nodes and managed or enterprise products are distinct commercial offerings.
What this product helps you do
Griptape Framework is Foundry's Apache-licensed Python toolkit for generative-AI applications. Its Structures model includes single-task agents, sequential pipelines, and parallel workflows; Tasks can use tools, engines, rules, memory, and a broad set of drivers for models, vector stores, files, SQL, search, scraping, media, and observability. The framework is free and can execute locally or through configured structure-run drivers. Griptape Nodes is a separate visual desktop product, and managed or enterprise offerings have their own commercial terms, so buyers should distinguish the open-source framework from adjacent Griptape products.
Problems it solves
- Developers need reusable abstractions for agents, sequential pipelines, and parallel workflows
- Applications need to swap model, retrieval, storage, search, media, and observability providers without rewriting all business logic
- RAG, extraction, summarization, evaluation, and tool use require consistent task and artifact handling
- Teams need memory options that can keep large or sensitive intermediate data outside the model prompt
Information
You are leaving botconomy for the provider’s website. Link verified 9/23/2026.
Related AI products
Julep 3
Julep 3 compiles typed Python flows, tools, pure functions, reasoners, branches, fan-out, retries, and timeouts into frozen durable-execution graphs that can run locally or through optional Temporal, DBOS, and control-plane components.
MagickML
MagickML provides a visual node builder for creating AI-agent workflows, combining model choice, document processing, custom nodes, event-driven execution, integrations, testing, and deployment with open-source code and hosted metered billing.
GenSphere
GenSphere is an MIT-licensed Python framework for defining LLM applications as YAML graphs whose nodes can call functions, model APIs, or nested graphs, with visualization and an open push-and-pull project hub.