版本:0.3.2
mem0 MCP Server 桥接 MCP 主机应用程序与 mem0 云服务,实现结构化的项目记忆管理和项目相关信息的语义搜索。
pyproject.toml 脚本入口简化部署。--logfile 输出到文件运行此 MCP Server 时,您必须通过命令行参数明确指定日志输出模式以及(如果启用)绝对日志文件路径。
--log=off :禁用所有日志记录(不写入任何日志)--log=on --logfile=/绝对路径/到/logfile.log :启用日志记录并将日志写入指定的绝对文件路径"mem0": {
"command": "pipx",
"args": ["run", "mem0-mcp-for-pm", "--log=off"],
"env": {
"MEM0_API_KEY": "{apikey}"
}
}
"mem0": {
"command": "pipx",
"args": ["run", "mem0-mcp-for-pm", "--log=on", "--logfile=/workspace/logs/mem0-mcp-server.log"],
"env": {
"MEM0_API_KEY": "{apikey}"
}
}
注意:
- 当启用日志记录时,日志仅写入指定的绝对文件路径。相对路径或省略
--logfile将导致错误。- 当禁用日志记录时,不会输出任何日志。
- 如果缺少或提供无效的必要参数,服务器将无法启动并打印错误消息。
- 日志文件必须可由 MCP Server 进程访问和写入。
- 如果遇到运行此服务器的问题,可能是由于缓存了旧版本的 mem0-mcp-for-pm。请尝试使用最新版本(将
x.y.z设置为最新版本)的 mem0-mcp-for-pm 运行它,如下设置。
"mem0": {
"command": "pipx",
"args": ["run", "mem0-mcp-for-pm==x.y.z", "--log=off"],
"env": {
"MEM0_API_KEY": "{apikey}"
}
}
add_project_memoryget_all_project_memoriessearch_project_memoriesupdate_project_memorydelete_project_memorydelete_all_project_memories所有工具均通过基于 stdio 的 MCP 协议可用。
--logfile /路径/到/logfile.log参见 LICENSE 文件。
此分支的独特之处在于 MCP 主机与 mem0 之间的结构化格式期望为编码格式如 TOML。 确保您设置了自定义指令以便更好地处理。
为了使 mem0 更符合项目管理目的,此分支有以下指令供 AI 使用。
要在 mem0 中注册项目信息,请始终使用 TOML 格式的所有条目。 遵循以下指南,以确保最佳的 AI 提取、搜索性和项目管理实用性:
category(例如,“任务管理”,“项目状态”等)project(项目名称)timestamp(ISO 8601 格式,例如,“2025-04-29T16:00:00+09:00”)以下是常见项目管理用例的 TOML 模板。 根据需要进行调整,但保持结构和元数据的一致性,以获得更好的搜索和提取效果。
项目状态示例
category = "Project Status"
project = "project-name"
timestamp = "2025-04-29T16:00:00+09:00"
name = "Project Name"
purpose = "Project Purpose"
version = "1.2.0"
phase = "development"
completionLevel = 0.65
milestones = ["Planning", "Development"]
currentFocus = ["Implementing Feature X", "Optimizing Component Y"]
[metadata]
type = "status"
priority = "high"
tags = ["backend", "release"]
任务管理示例
category = "Task Management"
project = "project-name"
timestamp = "2025-04-29T16:00:00+09:00"
[[tasks]]
description = "Implement Feature X"
status = "in-progress"
deadline = "2025-05-15"
assignee = "Team A"
dependencies = ["Component Y"]
[metadata]
type = "task"
priority = "high"
tags = ["frontend", "authentication"]
run_id 参数逻辑分组相关条目。project:project-name:category:subcategoryrun_id = "project:member-system:feature:authentication"
[metadata] TOML 表格以增强搜索和过滤。[metadata]
type = "task"
priority = "high"
tags = ["frontend"]
immutable = true 防止更新。expiration_date = "YYYY-MM-DD" 设置过期日期。project 和 timestamp。通过遵循这些基于 TOML 的指南,您可以最大化 mem0 的项目记忆提取和管理效果。 对于更高级的用例,请参考源代码和服务器端自定义指令。
本指南概述了使用 mem0 有效管理项目信息的战略和模板。目的是通过结构化模板和元数据管理来提高项目数据的可搜索性和可重用性。
mem0 可以有效地管理以下类型的信息。使用结构化模板可以提高可搜索性和可重用性。请注意,提供的模板是示例,应根据具体项目需求进行调整。
模板:
category = "Project Status"
project = "project-name"
timestamp = "2025-04-29T16:00:00+09:00"
name = "Project Name"
purpose = "Project Purpose"
version = "1.2.0"
phase = "development"
completionLevel = 0.65
milestones = ["Planning Phase", "Development Phase"]
currentFocus = ["Implementing Feature X", "Optimizing Component Y"]
risks = ["Concerns about API stability", "Resource shortage"]
模板:
category = "Task Management"
project = "project-name"
timestamp = "2025-04-29T16:00:00+09:00"
[[tasks]]
description = "Implement Feature X"
status = "in-progress"
deadline = "2025-03-15"
assignee = "Team A"
dependencies = ["Component Y"]
[[tasks]]
description = "Setup Development Environment"
status = "completed"
模板:
category = "Meeting Summary"
project = "project-name"
timestamp = "2025-04-29T16:00:00+09:00"
title = "Weekly Progress Meeting"
date = "2025-03-23"
attendees = ["Sato", "Suzuki", "Tanaka"]
topics = ["Progress Report", "Risk Management", "Next Week's Plan"]
decisions = ["Approve additional resource allocation", "Delay release date by one week"]
[[actionItems]]
description = "Procedure for adding resources"
assignee = "Sato"
dueDate = "2025-03-25"
[[actionItems]]
description = "Revise test plan"
assignee = "Suzuki"
dueDate = "2025-03-24"
使用 mem0 的 run_id 参数,您可以逻辑分组相关的信息。这有助于维护特定的对话流程或项目上下文。
推荐格式:
project:project-name:category:subcategory
使用示例:
run_id = "project:member-system:feature:authentication"
使用元数据可以增强信息的可搜索性。我们建议使用以下模式:
[metadata]
type = "meeting|task|decision|status|risk"
priority = "high|medium|low"
tags = ["frontend", "backend", "design"]
status = "pending|in-progress|completed"
使用 immutable 和 expiration_date 参数,您可以管理信息的生命周期。
使用示例:
immutable = true
expiration_date = "2025-06-30"
category = "Project Status"
project = "member-system"
timestamp = "2025-05-01T10:00:00+09:00"
sprint = "Sprint-2025-05"
duration = "2 weeks"
goals = ["Implement authentication feature", "Improve UI"]
[[tasks]]
description = "Implement login screen"
assignee = "Tanaka"
estimate = "3 days"
[[tasks]]
description = "API integration"
assignee = "Sato"
estimate = "2 days"
[metadata]
type = "status"
tags = ["sprint-planning"]
category = "Project Status"
project = "member-system"
timestamp = "2025-05-08T15:00:00+09:00"
sprint = "Sprint-2025-05"
completionLevel = 0.4
[[status]]
task = "Implement login screen"
progress = 0.7
status = "in-progress"
[[status]]
task = "API integration"
progress = 0.2
status = "in-progress"
blockers = ["Change in API response specification"]
[metadata]
type = "status"
tags = ["sprint-progress"]
category = "Risk Management"
project = "member-system"
timestamp = "2025-05-03T11:00:00+09:00"
[[risks]]
description = "Concerns about external API stability"
impact = "High"
probability = "Medium"
mitigation = "Implement fallback mechanism"
owner = "Development Lead"
status = "open"
[metadata]
type = "risk"
priority = "high"
category = "Risk Management"
project = "member-system"
timestamp = "2025-05-10T16:30:00+09:00"
[[risks]]
description = "Concerns about external API stability"
status = "Resolved"
resolution = "Fallback mechanism implementation completed"
[metadata]
type = "risk"
priority = "medium"
[metadata] 表格。run_id 分层结构以保持信息的相关性。要实施上述改进,我们建议采取以下步骤:
增强 add_project_memory 方法:
更新自定义指令:
run_id 的使用(引入分层结构)。这些改进将提升信息管理的易用性和效率,同时保持与现有 API 的兼容性。
提出的改进在以下方面提供价值,同时保持与现有 mem0 MCP 服务器功能的兼容性: