AI Memory MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| OPENAI_API_KEY | No | API key for OpenAI (alternative embedding provider). Required if embedding configured for OpenAI. | |
| VOLCENGINE_API_KEY | No | API key for Volcano Engine (default embedding provider). Required if using default embedding configuration. | |
| SILICONFLOW_API_KEY | No | API key for SiliconFlow (alternative embedding provider). Required if embedding configured for SiliconFlow. |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| rememberA | 存储一条持久化记忆(SQLite+Chroma+Markdown 三处同步,自动 embed)。 当用户说"记住 / 记下 / 沉淀 / 保存"某条信息时调用。content 中可用 [[其他记忆标题]] 引用已有记忆,recall 时会解析为关联记忆。 category:user(用户偏好)/ project(项目知识)/ process(工作过程)/ agent(Agent 协作)。 scope:user / project / session。 |
| recallB | 语义 + 关键词 + 标题三路融合检索,返回最相关记忆(含正文 + [[link]] 关联)。 当用户问"之前 / 上次 / 有没有记录 / 回忆 / 召回 / 历史决策 / 踩过的坑"时调用。 每条记忆若 content 含 [[其他记忆标题]],返回时附 links 字段(关联记忆 id/title/category)。 |
| get_memoryA | 按 id 取单条记忆的完整内容(含 [[link]] 关联)。已知具体 id 时调用。 |
| search_memoriesA | 按分类 / 标签 / 来源 Agent 结构化过滤(不含正文)。需精确筛选时调用。 |
| update_memoryA | 更新已有记忆;改 content 会重算向量并刷新 Markdown。修改 / 补充已有记忆时调用。 |
| forgetA | 删除一条记忆(SQLite+Chroma+Markdown 三处同步)。用户要求"删掉 / 忘掉"某条记忆时调用。 |
| list_memoriesA | 列出记忆(可按分类过滤),按更新时间倒序(不含正文)。浏览 / 概览已有记忆时调用。 |
| who_am_iA | 返回当前 Agent 标识、项目根、数据目录与各分类记忆数量。会话开始时先调用,了解当前 agent 与记忆库概况。 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
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/xiangzi1126/ai-agent-memory-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server