claudioemmanuel/squeez
squeez is an end-to-end token optimizer that provides hook-based token compression for Hermes Agent and several other AI CLI hosts, increasing context window efficiency.
Awesome Hermes Plugins › Context Engines
The hermes-lcm project implements a Lossless Context Management plugin for Nous Research Hermes Agent, offering an advanced context engine that replaces the default one-shot active-context compression with a SQLite-backed, DAG-based system. Unlike traditional compression that can lead to information loss in the active context, hermes-lcm persists all messages, compacts older context into depth-aware summary nodes, and condenses these summaries into a hierarchical Directed Acyclic Graph (DAG). This approach ensures that while the live prompt remains bounded, the agent retains the ability to recover exact details after compaction. The plugin leverages a SQLite message store for raw messages, a summary DAG for historical context, and provides bounded recovery mechanisms for detailed retrieval without flooding the main prompt. It includes a comprehensive suite of agent tools such as `lcm_grep`, `lcm_load_session`, `lcm_describe`, `lcm_expand`, `lcm_expand_query`, `lcm_status`, `lcm_inspect`, and `lcm_doctor` for search, inspection, and expansion of compacted material. Additionally, hermes-lcm offers source-aware retrieval, session controls, large payload management, and sensitive pattern redaction for enhanced data handling and security. It directly addresses the challenge of maintaining conversational continuity and detailed recall in long-running agent interactions, distinguishing itself from standard compression by integrating recall directly into the active context engine.
https://github.com/stephenschoettler/hermes-lcm
squeez is an end-to-end token optimizer that provides hook-based token compression for Hermes Agent and several other AI CLI hosts, increasing context window efficiency.
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