Editorial Approach
We focus on what matters: what to check before installing, which privacy questions to ask, how OpenHuman stacks up against alternatives, and where to verify current project details.
Editorial Method
- Prefer official sources for commands and product claims.
- Label install commands as reviewed, not personally verified, until tested on that OS.
- Update pages when official sources change or reader questions reveal gaps.
What This Guide Covers
OpenHuman Guide is a practical evaluation resource for anyone considering OpenHuman as their personal AI assistant.
- Installation guides for Windows, macOS, and Linux with safety checks.
- Privacy and security analysis before connecting personal accounts.
- Honest comparisons with Open WebUI, AnythingLLM, OpenHands, and AutoGPT.
- Use case examples for email, calendar, code, and productivity workflows.
- Troubleshooting notes for common setup and runtime issues.
- Feature deep dives including Memory Tree, integrations, and local AI setup.
How We Research
Our research process prioritizes accuracy and transparency.
- Official sources first: GitHub README, official docs, and release notes are our primary references.
- Community feedback second: GitHub issues, Discord discussions, and Reddit threads inform our troubleshooting and edge-case coverage.
- Hands-on testing when possible: install commands and setup steps are labeled as reviewed rather than personally verified unless we have tested them on the specific OS.
- We do not reproduce every command on every platform, but we verify against official documentation and community reports.
Update Frequency
OpenHuman is early-beta software that changes rapidly. We aim to keep the guide current.
- Major releases: pages are reviewed within one week of a significant OpenHuman release.
- Community feedback: corrections from readers are typically applied within 48 hours.
- Trigger-based updates: changes to install scripts, OAuth flows, or core architecture prompt immediate review.
- Last comprehensive review: May 2026. Check individual page sources for the most current official information.
Disclosure and Independence
Transparency about our relationship to OpenHuman and TinyHumans.
- We do not receive payment, free products, or preferential treatment from TinyHumans.
- All opinions and scorecards are based on public information and hands-on evaluation where possible.
- Source links are provided for every factual claim so you can verify independently.
- If affiliate links or sponsored content are ever added, they will be clearly labeled.
Who Writes This Guide
OpenHuman Guide is maintained by a small team of evaluators with backgrounds in software engineering, security analysis, and technical writing. We do not receive payment, free products, or preferential treatment from TinyHumans. Every opinion and scorecard is based on public information and hands-on evaluation where possible.
- We evaluate software the way we would want someone to evaluate software we rely on: source-linked, risk-flagged, and honest about limitations.
- Our primary author has 10+ years in software engineering and security, with hands-on experience across the local AI ecosystem (Ollama, Open WebUI, AnythingLLM, OpenHands, AutoGPT).
- We test install commands where possible, but label them as 'reviewed' rather than 'personally verified' unless we have run them on the specific OS.
- If you have a correction or suggestion, we read every message and typically respond within 48 hours.
How We Evaluate Software
Our methodology is designed to produce useful, reproducible evaluations. We score across six dimensions, each weighted by how much it matters to the target user.
- Setup and Installation (weight: 15%): how long from download to first meaningful use, script trust, platform coverage, and error handling.
- Privacy and Security (weight: 25%): data storage model, encryption, OAuth flow, audit status, and attack surface.
- Features and Integrations (weight: 25%): breadth, depth, and uniqueness of capabilities relative to competitors.
- Stability and Reliability (weight: 15%): crash frequency, config volatility, update breakage, and connector sync reliability.
- Documentation (weight: 10%): coverage of core concepts, troubleshooting depth, and community support quality.
- Overall Value (weight: 10%): whether the strengths justify the weaknesses for the target audience.
- Source links are mandatory for every factual claim. If we cannot source it, we say so.
Update and Correction Log
We keep a public record of significant changes so readers can track what has changed and when.
- 2026-06-02: Expanded /install subpages with step-by-step walkthroughs, error fixes, hardware tables, and uninstall instructions.
- 2026-06-02: Added six new pages: /best-local-ai-assistant-memory-2026, /anythingllm-alternatives, /open-webui-vs-anythingllm-vs-openhuman, /privacy-checklist, /local-llm-vs-cloud-llm, /ai-persistent-memory-open-source.
- 2026-06-02: Added cross-page linking to /faq, /use-cases, /what-is-openhuman, and /troubleshooting.
- 2026-06-02: Reorganized /resources by user path (getting started → official → community → troubleshooting → developer).
- 2026-05-28: Comprehensive review of all pages against latest GitHub README (commit range reviewed: mid-May 2026).
- 2026-05-20: Initial launch with 21 pages covering install, privacy, comparisons, and feature deep dives.
Get Involved
Help improve the guide for everyone.
- Suggest corrections: email contact@openhuman.guide with outdated commands, broken links, or factual errors.
- Request new pages: let us know what topics or comparisons would be most useful.
- Report outdated info: if an official source has changed and our page has not, send us a link.
- Share the guide: if you found it useful, share it with others evaluating OpenHuman.