Class LongTermMemory

src/main/java/com/tcode/memory/LongTermMemory.java:25–255

长期记忆 - 跨对话持久化的关键信息 职责： 1. 持久化用户偏好、项目事实、关键决策等 2. 支持关键词检索 3. 自动去重（基于内容相似度） 4. 定期持久化到磁盘

 * 4. 定期持久化到磁盘
 */
public class LongTermMemory implements Memory {
    private static final Logger log = LoggerFactory.getLogger(LongTermMemory.class);
    private static final String STORAGE_DIR_PROPERTY = "tcode.memory.dir";
    private static final String STORAGE_DIR_ENV = "TCODE_MEMORY_DIR";
    private static final String STORAGE_FILE = "long_term_memory.json";
    private final Map<String, MemoryEntry> entries;
    private final AtomicInteger tokenCounter;
    private final ObjectMapper mapper;
    private final File storageFile;

    public LongTermMemory() {
        this(resolveStorageDir());
    }

    public LongTermMemory(File storageDir) {
        this.entries = new ConcurrentHashMap<>();
        this.tokenCounter = new AtomicInteger(0);
        this.mapper = new ObjectMapper();
        this.mapper.enable(SerializationFeature.INDENT_OUTPUT);

        // 确保存储目录存在
        File dir = storageDir;
        if (!dir.exists()) {
            dir.mkdirs();
        }
        this.storageFile = new File(dir, STORAGE_FILE);

        // 启动时加载已有记忆
        loadFromDisk();
    }

    @Override
    public void store(MemoryEntry entry) {
        // 去重检查：如果已存在内容完全相同的条目，跳过
        boolean duplicate = entries.values().stream()
                .anyMatch(e -> e.getContent().equals(entry.getContent()));
        if (duplicate) {
            return;
        }

        entries.put(entry.getId(), entry);
        tokenCounter.addAndGet(entry.getTokenCount());
        saveToDisk();
    }

    @Override
    public Optional<MemoryEntry> retrieve(String id) {
        return Optional.ofNullable(entries.get(id));
    }

    @Override
    public List<MemoryEntry> search(String query, int limit) {
        return search(query, limit, null);
    }

    public List<MemoryEntry> search(String query, int limit, String projectKey) {
        Set<String> queryTokens = MemoryQueryTokenizer.tokenize(query);