--- title: "gpt-home vs AgentGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/judahpaul16-gpt-home-vs-reworkd-agentgpt" tools: ["judahpaul16-gpt-home", "reworkd-agentgpt"] --- # gpt-home vs AgentGPT *GraphCanon updated Sep 20, 2026* ## Verdict Pick gpt-home if gpt-home offers DIY enthusiasts and Python developers a guide to set up personalized smart home assistants with LiteLLM and LangGraph on Raspberry Pi, aiming for greater customization compared to commercial offerings; 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. [gpt-home](https://hub.docker.com/r/judahpaul/gpt-home) reports 649 GitHub stars, 68 forks, and 0 open issues, last pushed Sep 13, 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 [gpt-home's repository](https://github.com/judahpaul16/gpt-home) and [AgentGPT's repository](https://github.com/reworkd/AgentGPT). | | [gpt-home](/tools/judahpaul16-gpt-home.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Tagline | Create personalized smart home assistants with ChatGPT on Raspberry Pi | Assembler for autonomous AI Agents | | Stars | 649 | 36,297 | | Forks | 68 | 9,262 | | Open issues | 0 | 219 | | Language | Python | TypeScript | | Adopt for | gpt-home offers DIY enthusiasts and Python developers a guide to set up personalized smart home assistants with LiteLLM and LangGraph on Raspberry Pi, aiming for greater customization compared to commercial offerings. | 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 | GPL-3.0 | GPL-3.0 | | Categories | AI Agents, Model Training | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [gpt-home](/tools/judahpaul16-gpt-home.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 6d | 497d | | Archived on GitHub | No | Yes | | Open issues (now) | 0 | 219 | | Stars delta | +5 (30d) | -7 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/judahpaul16-gpt-home/trust.md) | [trust report](/tools/reworkd-agentgpt/trust.md) | ## Decision facts: gpt-home - **Adopt for:** gpt-home offers DIY enthusiasts and Python developers a guide to set up personalized smart home assistants with LiteLLM and LangGraph on Raspberry Pi, aiming for greater customization compared to commercial offerings. ## 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 gpt-home if… - gpt-home is primarily Python; AgentGPT is TypeScript. - Tags unique to gpt-home: ai, automation, docker, fastapi. - Also covers Model Training. - If you need high customization in your smart home assistant capabilities, such as integrating unique voice commands or automations that fit your specific home environment. ### Choose AgentGPT if… - AgentGPT is primarily TypeScript; gpt-home is Python. - Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup. - Also covers Developer Tools. - When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI ## When NOT to use gpt-home - If rapid deployment and immediate functionality are prioritized over customization. The DIY nature requires technical skills and time investment. - In scenarios preferring commercial-grade reliability and support, where maintaining the setup can be more demanding with self-made systems. ## 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 gpt-home and AgentGPT? gpt-home: Create personalized smart home assistants with ChatGPT on Raspberry Pi. AgentGPT: Assembler for autonomous AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose gpt-home over AgentGPT? Choose gpt-home over AgentGPT when gpt-home is primarily Python; AgentGPT is TypeScript; Tags unique to gpt-home: ai, automation, docker, fastapi; Also covers Model Training; If you need high customization in your smart home assistant capabilities, such as integrating unique voice commands or automations that fit your specific home environment. ### When should I choose AgentGPT over gpt-home? Choose AgentGPT over gpt-home when AgentGPT is primarily TypeScript; gpt-home is Python; Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup; Also covers Developer Tools; When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI. ### When should I avoid gpt-home? If rapid deployment and immediate functionality are prioritized over customization. The DIY nature requires technical skills and time investment. In scenarios preferring commercial-grade reliability and support, where maintaining the setup can be more demanding with self-made systems. ### 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 gpt-home or AgentGPT more popular on GitHub? AgentGPT has more GitHub stars (36,297 vs 649). Stars measure visibility, not whether either tool fits your constraints. ### Are gpt-home and AgentGPT open source? Yes - both are open-source projects on GitHub (gpt-home: GPL-3.0, AgentGPT: GPL-3.0). ### Where can I find alternatives to gpt-home or AgentGPT? GraphCanon lists graph-backed alternatives at [gpt-home alternatives](/tools/judahpaul16-gpt-home/alternatives) and [AgentGPT alternatives](/tools/reworkd-agentgpt/alternatives) ([gpt-home markdown twin](/tools/judahpaul16-gpt-home/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/judahpaul16-gpt-home-vs-reworkd-agentgpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, gpt-home or AgentGPT? gpt-home: Very 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 gpt-home and AgentGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [gpt-home trust report](/tools/judahpaul16-gpt-home/trust); [AgentGPT trust report](/tools/reworkd-agentgpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=judahpaul16-gpt-home`](/api/graphcanon/graph?tool=judahpaul16-gpt-home) - 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/_