Nous Research hosts Hermes Agent Jam

Hermes Agent represents a significant shift towards "agentic memory" and autonomous skill acquisition rather than simple prompt-response loops.

• –The self-improving loop allows the agent to document and refine its own skills, creating a recursive flywheel of capability.
• –Persistent memory across 22+ platforms (Telegram, Discord, TUI) solves the "cold start" problem of typical LLM interactions.
• –Integration with MCP and various cloud backends (Modal, Docker) positions it as a robust developer-first automation framework.
• –The built-in cron system for offline tasks and scheduled automations makes it a true "digital worker" rather than just a tool.
• –Its architecture as a persistent runtime rather than a session-based script enables long-term learning and context retention.