--- title: "griptape vs agents-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/griptape-ai-griptape-vs-pguso-agents-from-scratch" tools: ["griptape-ai-griptape", "pguso-agents-from-scratch"] --- # griptape vs agents-from-scratch *GraphCanon updated Aug 15, 2026* ## Verdict Pick griptape if griptape: A modular Python framework for AI agents and workflows, supporting a variety of LLMs; pick agents-from-scratch if agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. [griptape](https://www.griptape.ai) reports 2.6k GitHub stars, 251 forks, and 78 open issues, last pushed Aug 13, 2026. [agents-from-scratch](https://github.com/pguso/agents-from-scratch) has 954 stars, 240 forks, and 3 open issues, last pushed Jul 25, 2026. Figures are from public GitHub metadata via [griptape's repository](https://github.com/griptape-ai/griptape) and [agents-from-scratch's repository](https://github.com/pguso/agents-from-scratch). | | [griptape](/tools/griptape-ai-griptape.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Tagline | Modular Python framework for AI agents and workflows | Build AI agents locally without relying on frameworks or cloud APIs. | | Stars | 2,573 | 954 | | Forks | 251 | 240 | | Open issues | 78 | 3 | | Language | Python | Python | | Adopt for | Griptape: A modular Python framework for AI agents and workflows, supporting a variety of LLMs. | agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. | | Persona | - | - | | Runtime | - | - | | License | Available under the Apache-2.0 License, permitting free use of the framework in both commercial and non-commercial projects. | MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [griptape](/tools/griptape-ai-griptape.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 2d | 18d | | Open issues (now) | 78 | 3 | | Stars delta | +17 (30d) | Unknown | | Open issues delta | -4 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/griptape-ai-griptape/trust.md) | [trust report](/tools/pguso-agents-from-scratch/trust.md) | ## Decision facts: griptape - **Pricing:** freemium - Open-source with a permissive license, but note that costs are associated with using third-party LLM services. - **Requirements:** Python environment is required.; Compatibility considerations for using specific LLMs may apply. - **Adopt for:** Griptape: A modular Python framework for AI agents and workflows, supporting a variety of LLMs. - **License detail:** Available under the Apache-2.0 License, permitting free use of the framework in both commercial and non-commercial projects. ## Decision facts: agents-from-scratch - **Requirements:** Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs. - **Adopt for:** agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. - **License detail:** MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. ## Choose when ### Choose griptape if… - License: griptape is Apache-2.0, agents-from-scratch is MIT. - Pricing: Open-source with a permissive license, but note that costs are associated with using third-party LLM services.. - Requirements: Python environment is required.; Compatibility considerations for using specific LLMs may apply.. - Tags unique to griptape: ai, anthropic, claude, gpt. - You are working with multiple Large Language Models (LLMs) such as Anthropic Claude or HuggingFace models, as Griptape offers integrations tailored to these specific systems. ### Choose agents-from-scratch if… - License: agents-from-scratch is MIT, griptape is Apache-2.0. - Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.. - Tags unique to agents-from-scratch: agent-architecture, ai-agents, local-llm, no-framework. - You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture. ## When NOT to use griptape - If your primary development environment is not Python-based, consider alternatives since Griptape is specifically targeted at Python developers. - Avoid using Griptape if you require functionalities that are more specialized for a single platform or model, as its strength lies in flexibility across various frameworks and models. ## When NOT to use agents-from-scratch - You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. - If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure. ## Common questions ### What is the difference between griptape and agents-from-scratch? griptape: Modular Python framework for AI agents and workflows. agents-from-scratch: Build AI agents locally without relying on frameworks or cloud APIs.. See the comparison table for live GitHub stats and shared categories. ### When should I choose griptape over agents-from-scratch? Choose griptape over agents-from-scratch when License: griptape is Apache-2.0, agents-from-scratch is MIT; Pricing: Open-source with a permissive license, but note that costs are associated with using third-party LLM services.; Requirements: Python environment is required.; Compatibility considerations for using specific LLMs may apply.; Tags unique to griptape: ai, anthropic, claude, gpt; You are working with multiple Large Language Models (LLMs) such as Anthropic Claude or HuggingFace models, as Griptape offers integrations tailored to these specific systems. ### When should I choose agents-from-scratch over griptape? Choose agents-from-scratch over griptape when License: agents-from-scratch is MIT, griptape is Apache-2.0; Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.; Tags unique to agents-from-scratch: agent-architecture, ai-agents, local-llm, no-framework; You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture. ### When should I avoid griptape? If your primary development environment is not Python-based, consider alternatives since Griptape is specifically targeted at Python developers. Avoid using Griptape if you require functionalities that are more specialized for a single platform or model, as its strength lies in flexibility across various frameworks and models. ### When should I avoid agents-from-scratch? You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure. ### Is griptape or agents-from-scratch more popular on GitHub? griptape has more GitHub stars (2,573 vs 954). Stars measure visibility, not whether either tool fits your constraints. ### Are griptape and agents-from-scratch open source? Yes - both are open-source projects on GitHub (griptape: Apache-2.0, agents-from-scratch: MIT). ### Where can I find alternatives to griptape or agents-from-scratch? GraphCanon lists graph-backed alternatives at [griptape alternatives](/tools/griptape-ai-griptape/alternatives) and [agents-from-scratch alternatives](/tools/pguso-agents-from-scratch/alternatives) ([griptape markdown twin](/tools/griptape-ai-griptape/alternatives.md), [agents-from-scratch markdown twin](/tools/pguso-agents-from-scratch/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/griptape-ai-griptape-vs-pguso-agents-from-scratch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, griptape or agents-from-scratch? griptape: Very active. agents-from-scratch: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for griptape and agents-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [griptape trust report](/tools/griptape-ai-griptape/trust); [agents-from-scratch trust report](/tools/pguso-agents-from-scratch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=griptape-ai-griptape`](/api/graphcanon/graph?tool=griptape-ai-griptape) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_