GraphCanon updated Aug 12, 2026 · GitHub synced Aug 12, 2026
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Decision brief
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.
Good fit when
- 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.
- For those wanting to understand and control the underlying infrastructure of their home automation setup, enabling deeper customisation and tweaks.
Avoid when
- 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.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Active (22d since push)
- As of Aug 12, 2026
- Provenance
- Not a fork · Personal account
- As of Aug 12, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install gpt-homeSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A DIY guide to deploy a customized smart home assistant using LiteLLM and LangGraph for enhanced home automation.
Capability facts
- Deploy
- Self-host
Source: dockerfile:docker-compose.yml · Aug 12, 2026
- Docker
- Dockerfile present
Source: dockerfile:docker-compose.yml · Aug 12, 2026
- Languages
- python
Source: github.language · Aug 12, 2026
Categories
Tags
README
🐳 Building the Docker Container Note: GPT Home uses LiteLLM which supports 100+ LLM providers. Set your in the file or via the web interface at . See the LiteLLM docs for supported providers. Optional: Add these aliases to your .bashrc file for easier management. `` LICENSE`](LI...
For agents
This page has a .md twin and JSON over the API.