mirror of
https://github.com/agentscope-ai/ReMe.git
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* refactor: generalize decision models and add opt-in context compaction * chore: remove compaction-specific license metadata * test: add live decision compaction scenarios and strategy guides * docs: describe current decision model configuration directly * refactor: preserve recoverable tool evidence and add compaction benchmarks * docs: visualize compaction benchmark results with English charts * docs: fix compaction benchmark links with verified permalinks * benchmark: evaluate fixed-summary evidence additions and summary-aware selection * docs: report summary-aware incremental evidence results * docs: unify compaction strategy comparison * refactor: replace compaction studies with one matched-input benchmark * docs: pin matched-input results links * bench: evaluate gold-labelled HotpotQA trajectories collected with Hermes * docs: pin gold-labelled benchmark results * bench: focus on frozen-summary Jev Top-N payment evaluation * docs: pin frozen-summary benchmark results * bench: evaluate fixed-summary fusion across Hermes fixture tasks * docs: pin compaction study references to reviewed results * bench: compare Jev fusion across frozen summary strategies * docs: pin dual-summary benchmark and figure references * docs: specify reproducible compaction settings and Hermes summary scope * docs: plot Jev token overhead by retained Top N * docs: pin reproducibility settings and revised cost figure * docs: price total compaction and answering cost across Top N * docs: pin final cost accounting and reproduction references * docs: explain compaction experiment background setup and conclusions inline * docs: compare compaction-only costs and omit Full from cost panel * docs: pin compaction-only cost references * docs: retain only quality and context-length experiment comparisons * docs: pin streamlined experiment references * docs: add Chinese counterparts for all compaction benchmark guides * docs: link benchmark guides in the matching language * docs: consolidate bilingual compaction benchmark guides * docs: point compaction references to consolidated benchmark * docs: reference Hermes Jev compaction evaluation results * fix(benchmark): validate cached native summary provenance |
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| .. | ||
| __init__.py | ||
| _workspace_fixture.py | ||
| run_reme_e2e_local.py | ||
| test_agent_session.py | ||
| test_auto_dream.py | ||
| test_auto_memory.py | ||
| test_auto_resource.py | ||
| test_auto_tag.py | ||
| test_benchmark_docker.py | ||
| test_codex_agent_wrapper.py | ||
| test_codex_plugin_install.py | ||
| test_codex_plugin_status_ui.py | ||
| test_decision_compaction.py | ||
| test_embedding.py | ||
| test_llm.py | ||
| test_reme_e2e.py | ||
| test_stream_llm.py | ||