aivectormemory
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| rememberB | 存入一条记忆。支持用户级（跨项目）和项目级存储，自动去重（相似度>0.95则更新）。 |
| recallB | 语义搜索回忆记忆。通过向量相似度匹配，即使用词不同也能找到相关记忆。 |
| forgetC | 删除一条或多条记忆。 |
| statusA | 读取或更新会话状态（阻塞状态、当前任务、进度等）。不传 state 参数则读取，传则部分更新。progress 为只读计算字段，自动从 track 活跃问题 + task 未完成任务聚合生成，无需手动写入。清空列表字段时使用 clear_fields 参数（因部分 IDE 会过滤空数组）。 |
| trackC | 问题跟踪：create/update/archive/delete/list 五个 action。 |
| taskB | 任务管理：batch_create/update/list/delete/archive。update 更新状态后自动同步所有 IDE 的 tasks.md checkbox，并联动同步关联问题状态。archive 将指定功能组的所有任务移入归档表。 |
| readmeA | README 生成工具：从 TOOL_DEFINITIONS/pyproject.toml/STEERING_CONTENT 自动生成 README 内容，支持多语言和差异对比。 |
| auto_saveB | 【每次对话结束前必须调用】自动保存用户偏好。 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 8 tools
remember/recall/forget form a clean memory CRUD triad, and track/task/readme are distinct. However, auto_save ("save user preferences") overlaps conceptually with remember, which already supports user-level storage, creating a potential confusion point.
Memory tools use verbs (remember, recall, forget) while track, task, status, and readme are bare nouns, and auto_save uses verb_noun. The convention is mixed but each name is still readable and guessable.
Eight tools is a well-scoped set for a memory/session/task server, especially since track and task bundle multiple sub-actions internally. Slightly on the lean side but each tool earns its place.
Covers memory lifecycle (remember/recall/forget), session state, issue tracking, task management, and readme generation. Minor gaps like listing/exporting all memories or explicit memory update exist, but remember's auto-dedupe mitigates this.