17h ago

Shannholmberg tests gBrain as shared memory layer for Hermes Agent squad recording 97.60% R@5 on LongMemEval_s benchmark

Garry Tan highlighted the multi-agent results as state of the art.

0
Original post

This is HOW my Hermes and OpenClaw Agents share a single brain. Hermes Agent is the orchestrator with OpenClaw agents as the squad.

9:32 PM · May 21, 2026 View on X
Reposted by

GBrain is SOTA for this kind of use case

Shann³Shann³@shannholmberg

I've started experimenting with gBrain + Hermes Agent it's a shared memory layer that sits underneath my Hermes Agent company. every specialist reads from the same brain before they do anything the architecture I'm currently testing: > inputs flow in: my ideas, strategy context, research, social signals, performance data > gBrain holds it all in typed folders: people/, companies/, concepts/, ideas/, media/, newsletter/, projects/, operations/ > the orchestrator (my main hermes agent) reads gBrain before every task and writes durable context back > specialists (research, socials, outbound, newsletter, engineering) get read-first access so they wake up with full context the flow goes like this: > 1. research agent → gBrain: enriches the brain with new findings > 2. gBrain → read-first context before any work > 3. orchestrator → gBrain: captures durable decisions > 4. tools → orchestrator uses fresh information from X, web, news > 5. orchestrator → I bring synthesized decision support so don´t think about gBrain as an agent, it's the shared memory layer that lets a company of agents act like a team, with cross reference and a centralized brain

1:48 PM · May 22, 2026 · 30.7K Views
6:04 PM · May 22, 2026 · 13.5K Views
Shannholmberg tests gBrain as shared memory layer for Hermes Agent squad recording 97.60% R@5 on LongMemEval_s benchmark · Digg