@rayoo_eth: Hermes' Profile is a lifesaver for context management. When Hermes runs for a long time, the coding Agent, research Agent, and personal affairs Agent all share the same memory and configuration. This leads to research notes mixing into coding tasks, work rules intruding into personal conversations, and cron jobs crammed into a single document.
Summary
Hermes' Profile feature allows different AI agents (e.g., coding, research, personal affairs) to have independent configuration, memory, and tasks, achieving identity isolation and solving context confusion in long-running operations.
View Cached Full Text
Cached at: 07/16/26, 02:20 PM
Hermes Profile is essentially a lifesaver for context management.
When running Hermes for extended periods, the agent that writes code, the agent that does research, and the agent that handles personal affairs all share the same memory and configuration.
This leads to research notes mixing into coding tasks, work rules bleeding into personal conversations, and scheduled tasks all crammed into a single document.
Hermes Profile is designed to solve exactly that.
A Profile is a standalone Hermes identity. It has its own model configuration, API keys, personality, memory, conversations, Skills, Cron tasks, and Gateway state. Think of it as an independent studio — multiple studios sharing the same Hermes program.
Create a Profile:
hermes profile create coder
coder setup
coder chat
During creation, Hermes generates the coder command. This command is equivalent to hermes -p coder. To switch the default identity, use a single command:
hermes profile use coder
A Profile’s scope is Hermes state — covering configuration, secrets, memory, conversations, Skills, and tasks — while OS file permissions remain unchanged. Multiple Profiles run under the same Linux or macOS user. File access boundaries should be left to containers, SSH environments, or permission systems.
So, the value of a Profile is giving every Agent a stable set of responsibilities, knowledge, and runtime state.
Once AI Agents take on long-term tasks, identity isolation is no longer a simple trick — it’s infrastructure.
Similar Articles
@koffuxu: AI Agents are starting to remember. Hermes Agent builds the learning loop into its core: experiences are distilled into Skills, remembers context across sessions, and can run long-term on Telegram/CLI. Experience becomes Skills; memory is retrievable; scheduled tasks run automatically. Would you let Agent…
Hermes Agent is an open-source AI Agent that distills experiences into retrievable Skills, remembers context across sessions, and supports long-term resident operation on Telegram and CLI.
@justloveabit: https://x.com/justloveabit/status/2062553589571314116
The article introduces Hermes Agent as a persistent, 24/7 AI operations officer, distinct from Codex/Claude in positioning, emphasizing automation, memory, and remote command capabilities, representing the evolution of AI agents from tools to partners.
@XAMTO_AI: Hermes is not enough just for chatting; it needs an "operating system" to get real work done. Oh My Hermes upgrades Hermes from a talk-only bot into a true development and operations partner—install once and it's done. 20 skills bundle: requirement clarification, product brief, design handover, engine selection, coding, deployment, ...
Oh My Hermes is a workflow layer for the Hermes AI agent, upgrading it into a development and operations partner that can automatically complete 20 skills including requirement clarification, coding, deployment, and operations, supporting 5 clearly divided agents working collaboratively.
@XAMTO_AI: Programmers in the community almost universally regard Hermes as the standard foundation for next-generation Agents — memory engine, intelligent retrieval, enterprise deployment, code kernel, plugin ecosystem, a complete set of tactics that maxes everything out, and the generational gap is clearly visible: honcho https://github.com/plasti…
Programmers in the community see Hermes as the standard base for next-generation AI Agents, introducing multiple related projects such as Honcho (memory engine), Hermes Web Search Plus (intelligent retrieval), NemoClaw (enterprise-grade expansion), etc., aiming to provide persistent memory and structured capabilities for Agents.
@GitTrend0x: Hermes finally has its own soul! Proficiencies skills package, Shadow CTO repo memory, Mind Transposition soul transfer, Mnemosyne advanced local memory, HermesKill safety emergency stop... All programmers...
Hermes agent gains a set of installable skills for workspace hygiene, decision-making, memory systems, and cross-platform migration, turning it into a professional agent workflow.