TencentDB Agent Memory：团队记忆中心 2026 版

pip install tencentdb-agent-memory

from tencentdb.memory import TeamMemory

team_memory = TeamMemory(
    workspace="project-alpha",
    auth_token="team-token"
)

# 个人记忆
user_memory = team_memory.for_user("user_123")

# 团队共享记忆
team_memory.shared.store("项目策略", "采用微服务架构")

# 组织全局记忆
org_memory = team_memory.organization

# 团队成员共享上下文
team_memory.shared.add_turn({
    "speaker": "张三",
    "message": "发现 API 返回 404 错误",
    "action": "检查路由配置"
})

# 其他成员查看
context = team_memory.shared.get_recent(10)

# 构建团队知识图谱
kg = team_memory.knowledge_graph

kg.add_entity(
    entity="API Gateway",
    properties={"owner": "李四", "status": "生产"}
)

kg.add_relationship(
    source="API Gateway",
    target="用户服务",
    type="调用"
)

from tencentdb.agent import TeamAgent

agent = TeamAgent(
    name="项目助手",
    memory=team_memory,
    members=["张三", "李四", "王五"]
)

result = agent.ask("当前项目进度如何？")

# 分配任务给团队成员
task = agent.assign_task(
    description="修复登录接口的空指针",
    assignee="李四",
    deadline="2026-05-20"
)

team_memory.set_role("user_456", "viewer")

# 特定记忆细粒度权限
team_memory.set_permission(
    key="机密项目",
    roles=["admin", "owner"]
)

# 实时同步
team_memory.sync(
    providers=["tencentdb", "redis", "local"]
)

# 离线操作
team_memory.offline_mode = True
team_memory.queue_operations()

# 联网后同步
team_memory.offline_mode = False
team_memory.sync_pending()

# 使用腾讯云托管
docker run tencentcloud/team-memory:latest

# docker-compose.yml
services:
  tencentsdb:
    image: tencentdb/team-memory
    environment:
      - DB_HOST=tencentdb
      - REDIS_HOST=redis
      - AUTH_TOKEN=team-token