--- title: "agents-from-scratch vs AgentGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/pguso-agents-from-scratch-vs-reworkd-agentgpt" tools: ["pguso-agents-from-scratch", "reworkd-agentgpt"] --- # agents-from-scratch vs AgentGPT *GraphCanon updated Aug 12, 2026* ## Verdict 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; pick AgentGPT if agentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable. [agents-from-scratch](https://github.com/pguso/agents-from-scratch) reports 954 GitHub stars, 240 forks, and 3 open issues, last pushed Jul 25, 2026. [AgentGPT](https://agentgpt.reworkd.ai) has 36k stars, 9.3k forks, and 219 open issues, last pushed Apr 29, 2025. Figures are from public GitHub metadata via [agents-from-scratch's repository](https://github.com/pguso/agents-from-scratch) and [AgentGPT's repository](https://github.com/reworkd/AgentGPT). | | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Tagline | Build AI agents locally without relying on frameworks or cloud APIs. | Assembler for autonomous AI Agents | | Stars | 954 | 36,304 | | Forks | 240 | 9,288 | | Open issues | 3 | 219 | | Language | Python | TypeScript | | 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. | AgentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their AI projects | | Persona | - | - | | Runtime | - | - | | License | MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. | GPL-3.0 | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Maintenance | Active (82%) | Archived (8%) | | Days since push | 18d | 466d | | Archived on GitHub | No | Yes | | Open issues (now) | 3 | 219 | | Owner type | User | Organization | | Full report | [trust report](/tools/pguso-agents-from-scratch/trust.md) | [trust report](/tools/reworkd-agentgpt/trust.md) | ## 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. ## Decision facts: AgentGPT - **Adopt for:** AgentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their AI projects ## Choose when ### Choose agents-from-scratch if… - agents-from-scratch is primarily Python; AgentGPT is TypeScript. - License: agents-from-scratch is MIT, AgentGPT is GPL-3.0. - 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, llm, local-llm. - 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. ### Choose AgentGPT if… - AgentGPT is primarily TypeScript; agents-from-scratch is Python. - License: AgentGPT is GPL-3.0, agents-from-scratch is MIT. - Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup. - AgentGPT ships Docker support for self-hosted deployment. - When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI ## 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. ## When NOT to use AgentGPT - Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box - Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment ## Common questions ### What is the difference between agents-from-scratch and AgentGPT? agents-from-scratch: Build AI agents locally without relying on frameworks or cloud APIs.. AgentGPT: Assembler for autonomous AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose agents-from-scratch over AgentGPT? Choose agents-from-scratch over AgentGPT when agents-from-scratch is primarily Python; AgentGPT is TypeScript; License: agents-from-scratch is MIT, AgentGPT is GPL-3.0; 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, llm, local-llm; 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 choose AgentGPT over agents-from-scratch? Choose AgentGPT over agents-from-scratch when AgentGPT is primarily TypeScript; agents-from-scratch is Python; License: AgentGPT is GPL-3.0, agents-from-scratch is MIT; Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup; AgentGPT ships Docker support for self-hosted deployment; When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI. ### 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. ### When should I avoid AgentGPT? Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment ### Is agents-from-scratch or AgentGPT more popular on GitHub? AgentGPT has more GitHub stars (36,304 vs 954). Stars measure visibility, not whether either tool fits your constraints. ### Are agents-from-scratch and AgentGPT open source? Yes - both are open-source projects on GitHub (agents-from-scratch: MIT, AgentGPT: GPL-3.0). ### Where can I find alternatives to agents-from-scratch or AgentGPT? GraphCanon lists graph-backed alternatives at [agents-from-scratch alternatives](/tools/pguso-agents-from-scratch/alternatives) and [AgentGPT alternatives](/tools/reworkd-agentgpt/alternatives) ([agents-from-scratch markdown twin](/tools/pguso-agents-from-scratch/alternatives.md), [AgentGPT markdown twin](/tools/reworkd-agentgpt/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/pguso-agents-from-scratch-vs-reworkd-agentgpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agents-from-scratch or AgentGPT? agents-from-scratch: Active. AgentGPT: Archived. 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 agents-from-scratch and AgentGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agents-from-scratch trust report](/tools/pguso-agents-from-scratch/trust); [AgentGPT trust report](/tools/reworkd-agentgpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=pguso-agents-from-scratch`](/api/graphcanon/graph?tool=pguso-agents-from-scratch) - 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/_