TencentAgentMemoryBridge MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@TencentAgentMemoryBridge MCP ServerRemember that I prefer dark mode."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
TencentAgentMemoryBridge
围绕 TencentDB Agent Memory 构建的记忆桥梁生态——将 4 层长期记忆能力接入不同的 Agent 平台。
项目目标
不造轮子。我们复用腾讯开源的 TencentDB Agent Memory（L0 对话 → L1 原子事实 → L2 场景 → L3 画像）作为记忆引擎，通过以下桥梁让不同生态的 Agent 获得长期记忆能力：
MCP Bridge — 通过 MCP（Model Context Protocol）协议，让 CodeBuddy、Claude Code 等工具获得长期记忆
OpenClaw Plugin — 增强 OpenClaw 生态的多 Agent 共享记忆能力
Related MCP server: UseCortex MCP Server
快速开始
MCP Bridge（适用于 CodeBuddy / Claude Code）
npx @tencent-agent-memory/mcp-bridge然后在工具中配置 MCP Server：
// codebuddy.json
{
"mcpServers": {
"agent-memory": {
"command": "npx",
"args": ["@tencent-agent-memory/mcp-bridge"],
"env": {
"MEMORY_DATA_DIR": "./.agent-memory"
}
}
}
}// ~/.claude/settings.json
{
"mcpServers": {
"agent-memory": {
"command": "npx",
"args": ["@tencent-agent-memory/mcp-bridge"],
"env": {
"MEMORY_DATA_DIR": "./.agent-memory"
}
}
}
}项目结构
tencent-agent-memory-bridge/
├── packages/
│ ├── mcp-bridge/ # MCP Server（CodeBuddy + Claude Code）
│ └── openclaw-plugin/ # OpenClaw 插件改造
├── examples/ # 配置示例
├── docs/ # 设计文档
└── package.json上游依赖
TencentDB Agent Memory — 腾讯开源的 4 层本地长期记忆系统（MIT 协议）
License
MIT
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/kuaizhongqiang/TencentAgentMemoryBridge'
If you have feedback or need assistance with the MCP directory API, please join our Discord server