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NetworkChuck announced a massive deployment of Hermes using a full team with isolated VMs and shared memory from Honcho, in collaboration with Nous Research.
A quote tweet discusses gBrain being state-of-the-art for a specific use case, with a shared memory layer architecture under Hermes Agent.
Shann Holmberg describes an experimental architecture using gBrain as a shared memory layer for a team of Hermes Agents, allowing specialists to read from a centralized brain before acting and write durable context back.
RoBrain is an open-source shared memory layer for AI coding teams that captures technical decisions, rationale, and rejected alternatives across sessions and tools like Claude Code, Cursor, and Copilot, preventing agents from repeating past mistakes.
Details a method for connecting AI agents (e.g., Hermes and OpenClaw) to a shared brain that stores decisions and logs, enabling agents to search and reuse past context rather than starting from scratch.
RoBrain is a shared AI memory product that prevents agents from repeating mistakes.
Introduces Queryable LoRA, a data-adaptive method for efficient fine-tuning that uses a shared memory of low-rank update atoms with attention-based routing and instruction regularization to enable dynamic, context-sensitive parameter updates while maintaining scalability.
Hivemind is an open-source tool from Activeloop/Deeplake that provides auto-learning, cloud-backed shared memory for AI coding agents. It captures traces, codifies patterns, and propagates skills across agents, achieving 25% cost savings and 1.7× fewer tokens on the LoCoMo benchmark.