feat: v3.0.0 - Semantic Memory Layer + Conflict Detection#99
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Feature 3: Semantic Memory Layer - 创建 src/semantic_memory.py - notes 表存储持久性语义知识 - extract_and_store() 从对话中提取 notes - get_active_notes() 获取生效的 notes - format_for_context() 格式化为上下文注入 Feature 4: Conflict Detection & Reconsolidation - 创建 src/pipeline/conflict_detector.py - NLI 模型检测矛盾（可选） - 规则降级检测（零依赖） - reconcile() 执行记忆重巩固 Integration: - incremental_compressor.py 集成语义记忆 - 添加 llm_client 参数 - 压缩后触发 note 提取 - 新消息触发矛盾检测 Tests: 4/4 passed - test_notes_extraction - test_notes_injection - test_conflict_api - test_notes_dedup Version: v3.0.0-alpha
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Feature 3: Semantic Memory Layer - 创建 src/semantic_memory.py - notes 表存储持久性语义知识 - extract_and_store() 从对话中提取 notes - get_active_notes() 获取生效的 notes - format_for_context() 格式化为上下文注入 Feature 4: Conflict Detection & Reconsolidation - 创建 src/pipeline/conflict_detector.py - NLI 模型检测矛盾（可选） - 规则降级检测（零依赖） - reconcile() 执行记忆重巩固 Integration: - incremental_compressor.py 集成语义记忆 - 添加 llm_client 参数 - 压缩后触发 note 提取 - 新消息触发矛盾检测 Tests: 4/4 passed - test_notes_extraction - test_notes_injection - test_conflict_api - test_notes_dedup Version: v3.0.0-alpha Co-authored-by: SonicBotMan <sonicman0261@users.noreply.github.com>
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v3.0.0 - 语义记忆层 + 矛盾检测
Feature 3: Semantic Memory Layer
目标: 独立于 DAG 的稳定知识库，存储从对话中提炼的持久性事实
核心功能:
notes表存储语义记忆文件:
src/semantic_memory.py关键方法:
extract_and_store(): 从对话中提取 notesget_active_notes(): 获取生效的 notesformat_for_context(): 格式化为上下文注入Feature 4: Conflict Detection & Reconsolidation
目标: 检测新消息与已有 notes 的矛盾，自动更新知识库
核心功能:
superseded_by文件:
src/pipeline/conflict_detector.py关键方法:
detect(): 检测矛盾reconcile(): 执行记忆重巩固Integration
修改文件:
src/incremental_compressor.py改动点:
llm_client参数Tests
文件:
tests/test_v300.py测试用例 (4/4 通过):
Acceptance Criteria (from Issue #97)
Version
🧠 认知科学驱动: 基于 EM-LLM、HiMem 等研究论文设计