LifeGraph operational intelligence
An agentic knowledge graph that turns unstructured personal intake into structured context, decision support, and auditable actions.
What it is
A Markdown-backed personal knowledge graph for real-life operations. It models people, projects, events, facts, questions, tasks, relationships, constraints, and advisor rules so an agent can reason over context instead of starting from zero every time.
What it solves
Normal AI assistants lose context, forget rules, and mix facts with guesses. LifeGraph keeps raw intake, structured memory, source links, and fact-vs-inference boundaries so advice can be traced back to the context that produced it.
How it works
The owner adds raw freeform input. The agent structures it into graph objects, checks related context and rules, separates facts from inferences, recommends next steps, and only writes to external execution surfaces such as Todoist when explicitly allowed.
Why it matters
LifeGraph is a personal operational intelligence layer. It turns freeform life input into facts, events, entities, questions, tasks, relationships, and inferences, then uses that structure to support decisions and controlled external actions.