@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…
Summary
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.
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Cached at: 05/23/26, 10:07 AM
AI Agents are starting to “gain memory.”
Hermes Agent builds a learning loop into its core: experiences are distilled into Skills, context is retained across sessions, and it can run long-term on Telegram/CLI.
✅ Experiences become Skills
✅ Memory is retrievable
✅ Scheduled tasks run automatically
Would you let an Agent learn your workflow?
Open-sourced on GitHub, link in comments 👇
#AIAgent https://t.co/0BHV3HoG5l
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@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.
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.
@RoundtableSpace: HERMES AGENT IS ONE OF THE FIRST AI PROJECTS THAT ACTUALLY REMEMBERS EVERYTHING ACROSS SESSIONS AND GETS BETTER THE MOR…
Hermes Agent is promoted as an AI project featuring multi-layer memory, self-evolving skills, and autonomous 24/7 operation with cross-session recall, positioning it more as an operator than a tool.
@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.
@Saboo_Shubham_: This is HOW Hermes Agent Self-learning LOOP works: Useful workflow → Agent skill Experience → Gbrain page Important dec…
说明Hermes Agent自学习循环的工作流程，包含技能提取、记忆存储和自动清理机制。
@Jolyne_AI: A pure local solution for adding "long-term memory" to AI Agents: Mnemosyne (built for Hermes Agent). Under the hood, it uses SQLite with <1ms query latency, runs fully offline, zero cost, zero dependencies, and you control your privacy. GitHub: https://gi…
Introducing Mnemosyne, a purely local, SQLite-based long-term memory solution for Hermes Agent, featuring ultra-low latency, offline operation, zero cost, and privacy control.