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
claudioemmanuel/squeez
squeez is a token compressor designed to optimize interactions with AI CLI hosts, including Nous Research Hermes Agent. It functions as a hook-based system, intercepting command outputs to apply various compression techniques such as smart filtering, deduplication, log-template compaction, and relevance-aware truncation, boasting up to 95% bash output reduction. The tool features reversible compression, which stashes verbatim originals for later retrieval, and a net-win gate that prevents token losses from minor compressions. It also offers an adaptive intensity mechanism, adjusting compression levels based on the remaining token budget. For Hermes, squeez provides a Python plugin (`__init__.py` + `plugin.yaml`) that integrates seamlessly and is auto-discovered. The system preserves critical identifiers in summaries and includes a self-teaching protocol. It bundles an MCP server that exposes 17 tools for querying session memory, enabling richer context for LLMs. squeez ensures zero new runtime dependencies for its core functionality and integrates a `/squeez` slash command for in-session configuration management and post-compact re-injection of tracked session state.
https://github.com/claudioemmanuel/squeez
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Compresses Hermes tool output before it reaches the model into compact retrievable previews, via a thin Python loader calling a Rust classifier and store, cutting per-call token cost.