🗂️ Tools, Platforms & Infrastructure · View mindmap

Memory

Memory refers to the mechanisms by which ai-agents store, retrieve, and utilize information to maintain context across interactions. In agentic frameworks like hermes-agent, memory is critical for executing complex, multi-step workflows and maintaining state during Automated Recurring Tasks.

Key Concepts

• Context Retention: The ability of an agent to recall previous inputs and actions to inform future decisions.
• State Management: Tracking the current status of tasks, particularly in Recurring Task loops.
• Agentic Frameworks: Tools like hermes-agent that orchestrate memory and execution logic.

Recent Developments

• Hermes Agent /loop Feature:
  • Introduced in hermes-agent (developed by Nous Research) to support automated recurring tasks.
  • Enables agents to execute Loop structures for persistent or periodic operations.
  • Demonstrated with models such as qwen38-27b.
  • See detailed demo: loop Feature: Automated Recurring Task Demo

References

• Hermes Agent’s New /loop Feature: Automated Recurring Task Demo