Obsidian AI memory wiki for OpenHuman-style workflows

Why Markdown memory matters

An Obsidian-compatible AI memory wiki gives users a practical control surface. Notes are easier to review, move, diff, and correct than opaque model memory.

For OpenHuman-style workflows, the wiki should serve the assistant and the human. The assistant can retrieve concise context, while the human can inspect whether the context is still true.

Good wiki use cases

A wiki is best for durable work context rather than short-lived chat.

• People pages with preferences, responsibilities, and relationship context.
• Project pages with goals, current risks, decisions, and next actions.
• Meeting pages that summarize outcomes instead of preserving every utterance.
• Source pages that explain connector status and refresh cadence.

Setup steps

A simple note system beats a complex taxonomy nobody maintains.

• Choose four stable note types: person, project, decision, and meeting.
• Use frontmatter for source, review date, confidence, and owner.
• Keep notes short enough to review on a weekly cadence.
• Add links between people, projects, and decisions only when they help retrieval.
• Export or sync only after private source boundaries are clear.

Risks

A memory wiki can become a liability when it stores private source text without purpose.

• Do not turn email or chat into a verbatim archive.
• Do not store credentials or secrets in memory notes.
• Do not let generated summaries overwrite human-confirmed facts.
• Do not imply official OpenHuman compatibility beyond documented workflow inspiration.

Product connection

OpenHuman Online includes an Obsidian note preview in the first screen so buyers can see how hosted memory planning turns source context into editable Markdown-style knowledge.

Quick answers