Hermes can only remember what you actually talked about with it — everything else in your world is invisible to it. Gbrain, a popular open-source second brain, fixes that, and I set it up with Hermes Agent.
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https://www.onchainaigarage.com/Gbrain (open-source, 25k+ stars) gives your agent a knowledge base for your whole world — typed pages for people, companies, meetings, and decisions — including everything that never passed through your chat, like Obsidian vaults and meeting notes. I explain how it differs from Hermes memory (which remembers your conversations) and an LLM wiki like my Agent Wikis (which knows a domain), then install it with Hermes: markdown in a git repo synced to a local PGlite database, exposed as 30+ tools over MCP with no server or Docker. Along the way I show the parts that make it click — cited answers, the zero-LLM knowledge graph that maps how everything connects, and why wiring it up as an MCP server beats shelling out to the CLI. I also cover the habit that makes it worth it: search the brain first, write decisions back, keep world-facts out of chat memory. This is a first look — I'll follow up after using it daily for a while.
Resources:
Timestamps:
0:00 - What is Gbrain? (and why memory isn't enough)
2:01 - Gbrain vs Hermes memory vs an LLM wiki
4:39 - The architecture: markdown + PGlite + MCP
5:18 - Installing Gbrain with Hermes
7:46 - Seeding it + asking cited questions
8:37 - The knowledge graph (what most retrieval can't do)
9:44 - Adding the MCP server (and why it's better)
12:04 - The five rules for using it well
13:06 - Writing decisions back to the brain
Have you used Gbrain, or another second-brain setup with your agent? Drop your tips in the comments — I'll try them. If this was useful, please like, subscribe, and hit the bell! 🦐✨
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