# LongMemEval plugin [中文说明](./README_ZH.md) This plugin owns the LongMemEval memory and agentic-answer Steps and their Job defaults. The trusted judge Step, prompts and `answer_judge` Job live in `plugins/lme-judge`. ReMe's built-in `benchmark.yaml` owns the shared evaluation Jobs and components. Dataset handling, the runner and results remain in [`benchmark/longmemeval`](../../benchmark/longmemeval/README.md). From the repository root, install ReMe and this plugin in editable mode before running the benchmark: ```bash python -m pip install -e ".[as]" reme plugins install ./plugins/lme --editable reme plugins install ./plugins/lme-judge --editable reme plugins validate lme reme plugins validate lme-judge python benchmark/longmemeval/run.py ``` Editable installation registers the `lme` entry point while keeping source changes immediately visible. The runner selects the built-in `benchmark` preset and explicitly enables `lme` and `lme-judge` for each Application. Installing the plugin makes it discoverable but does not enable it globally. `plugin.yaml` registers backends and contributes the plugin-owned `auto_memory`, `agentic_answer` Job defaults. Start a full benchmark application with `reme start config=benchmark plugins='["lme", "lme-judge"]'`. The shared preset does not inherit `default`: only declared Jobs run, indexing is manual, and neither scheduled dream nor the optional `auto_dream` Job is enabled. The existing `auto_memory`, `agentic_answer`, `answer_judge`, `bench` and `judge` names and model environment variables are unchanged. Explicit application/CLI overrides still take precedence. Installing this plugin does not start an evaluation. The shared answer base class lives in `reme.steps.benchmark.base_agentic_answer`. The old core-owned `reme.steps.benchmark.lme` Python import path is removed. Custom Python callers should import memory, search and answer Steps from `reme_lme`, and install `lme-judge` before importing the judge Step from `judge_lme`. After uninstalling, Applications and CLI services must omit the plugin until it is installed again. Uninstallation never removes datasets, workspaces or results. Restart an existing service after changing plugins.