Project
LLM-Wiki for Personal Agent
A dynamic context graph for a personal agent running on Hermes.
What it is
LLM-Wiki for Personal Agent is a dynamic context graph created by a personal agent running on Hermes.
The graph grows from daily conversations and turns recurring context into structured knowledge: projects, routines, values, interests, constraints, people, decisions, and working preferences.
Why it matters
The goal is not just recall. It is usefulness.
As the agent learns more about work patterns, active projects, recurring context, and preferences, the graph becomes a knowledge layer for the broader agent system. The aim is to make future agents less generic and more context-aware without needing every conversation to start from zero.
How it fits
This sits close to OpenClaw Agents, Launchpad, and the broader home infrastructure work.
OpenClaw is the fleet. Hermes is the personal-agent layer. LLM-Wiki is the memory and context graph that helps those agents understand the person and environment they are working with.
Current status
Building. The current graph view shows the emerging shape of the personal context layer.