stephenschoettler/hermes-lcm
hermes-lcm is a lossless context management plugin for Hermes Agent, providing a DAG-based context engine that ensures no messages are lost through persistent storage and intelligent summarization.
Awesome Hermes Plugins › Context Engines
kenyonxu/hermes-persona
hermes-persona is a flexible plugin designed for Nous Research Hermes Agent, enabling dynamic injection of persona context into Large Language Model (LLM) calls. It leverages the `pre_llm_call` hook to modify the context before each LLM interaction, allowing for highly customized agent behavior. The plugin is configuration-driven, primarily via a `persona-config.json` file, ensuring code universality and ease of deployment. Key features include time awareness, behavioral rules, scenario-triggered responses, expression variations, memory recall, and kanban-style status injection. All functionalities are modular and can be individually enabled or disabled, supporting a robust and fault-tolerant design where missing configurations or API failures gracefully degrade without impacting the agent's core operation. This plugin is ideal for Hermes Agent users looking to create nuanced, context-aware, and dynamically adapting AI personas without altering core agent code. The plugin integrates modules for time awareness, weather context (using Open-Meteo API), static and dynamic behavioral rules based on time slots, turn stages, and keywords. It also includes a multi-dimensional expression vector for tracking and adapting to dialogue topics, and fixed signal detection for message length or response intervals. The configuration is hot-reloaded, meaning changes to `persona-config.json` take effect immediately without restarting the Gateway. This allows for rapid iteration and fine-tuning of persona characteristics, making it a powerful tool for developing highly interactive and adaptive Hermes Agents.
https://github.com/kenyonxu/hermes-persona
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