需 Node.js 22 及以上版本,低版本无法运行;项目内目录必须精确命名为 .aim 才会被识别为项目本地存储;手动创建的 JSONL 文件首行须有 _aim 安全标记,否则系统拒绝写入
mcp-knowledge-graph
shanehollomanMIT更新放缓给 Claude 加一个本地知识图谱记忆服务,通过 MCP 协议把对话中的实体和关系持久化到本地,解决 AI 跨会话记不住上下文的问题。
MCP server enabling persistent memory for Claude through a local knowledge graph - fork focused on local development
mkdir .aim
npx -y mcp-knowledge-graph --memory-path /Users/yourusername/.aimREADME 未说明,仅要求 Node.js 22+ 和兼容 MCP 的 AI 平台,无 GPU 或显存要求
给 Claude 等 MCP 客户端加持久记忆的本地知识图谱服务,用实体、关系和观察跨会话存取信息
给 Claude 加一个本地知识图谱记忆服务,通过 MCP 协议把对话中的实体和关系持久化到本地,解决 AI 跨会话记不住上下文的问题。
核心能力
- 用实体、关系、观察三类元素构建本地知识图谱
- 以 JSONL 文件存储,支持项目内 .aim 目录与全局目录
- 按 context 参数拆分 work、personal 等多个命名数据库
- 用 _aim 文件头标记防止误覆盖无关 JSONL 文件
- 提供存储、加事实、关联、搜索、遗忘等十个 aim_ 工具
容易踩的坑
- v1.3.2最新正式版2025-12-22 · 2025-12-22 21:49 UTC
What's Changed
Documentation Update
The README now reflects the new
aim_memory_*tool names and includes better configuration examples.Tool name updates:
- All references updated from
aim_*toaim_memory_*pattern - Clearer tool descriptions focused on memory operations
Configuration examples:
- Option 1: Default
.aimdirectory (simple setup) - Option 2: Dropbox/cloud sync (portable across machines)
- Note: The author uses Dropbox for his own memories
Full Changelog: https://github.com/shaneholloman/mcp-knowledge-graph/compare/v1.3.1...v1.3.2
- All references updated from
- v1.3.12025-12-22 · 2025-12-22 21:36 UTC
查看更新说明
What's Changed
Bug Fixes
- Fixed
aim_memory_searchandaim_memory_getdescriptions that still referenced old tool names (open_nodes,search_nodes)
Improved Descriptions
Tool descriptions now use memory-friendly language instead of graph database jargon:
Before After "Create multiple new entities in the knowledge graph" "Store new memories" "Fuzzy search for entities in the knowledge graph" "Search memories by keyword" "Delete multiple entities and their associated relations" "Forget memories" "Create relations (edges) between entities" "Link two memories together" This makes the tools more intuitive for both AI agents and human users.
Full Changelog: https://github.com/shaneholloman/mcp-knowledge-graph/compare/v1.3.0...v1.3.1
- Fixed
- v1.3.02025-12-22 · 2025-12-22 21:18 UTC
查看更新说明
What's Changed
Renamed Tools for Better AI Discoverability
All tools now use the
aim_memory_*naming pattern, making it immediately clear these are memory operations:Old Name New Name aim_create_entitiesaim_memory_storeaim_add_observationsaim_memory_add_factsaim_create_relationsaim_memory_linkaim_search_nodesaim_memory_searchaim_open_nodesaim_memory_getaim_read_graphaim_memory_read_allaim_delete_entitiesaim_memory_forgetaim_delete_observationsaim_memory_remove_factsaim_delete_relationsaim_memory_unlinkaim_list_databasesaim_memory_list_storesWhy This Change?
When an AI has many tools available and a user says "remember this", the tool name should make it obvious which tool to use.
aim_memory_storeis immediately recognizable as a memory operation, whileaim_create_entitiesrequired reading the description.Compatibility
No data format changes - existing
.aimdatabases and memory files remain fully compatible.Full Changelog: https://github.com/shaneholloman/mcp-knowledge-graph/compare/v1.2.3...v1.3.0
- v1.2.32025-12-22 · 2025-12-22 20:52 UTC
查看更新说明
What's Changed
New Feature: Pretty Output Format
Query tools now support a
formatparameter for human-readable output:aim_read_graph({format: "pretty"})aim_search_nodes({query: "...", format: "pretty"})aim_open_nodes({names: [...], format: "pretty"})
Example pretty output:
=== work database === ENTITIES (2): John [person] - Met at conference - Works in tech ProjectAlpha [project] - Due Q1 2025 RELATIONS (1): John --works_on--> ProjectAlphaUse
format: "json"(default) for programmatic use,format: "pretty"for human-readable output.Full Changelog: https://github.com/shaneholloman/mcp-knowledge-graph/compare/v1.2.2...v1.2.3
- v1.2.22025-12-22 · 2025-12-22 20:42 UTC
查看更新说明
What's Changed
Improved Documentation
- Added AIM (AI Memory) acronym expansion to tool descriptions
- Clarified
search_nodesvsopen_nodesdistinction - Documented what
search_nodesmatches (entity names, types, and observation content) - Explained active voice convention for relations with examples
- Added RETURNS sections showing what each tool returns
- Fixed context/database terminology consistency
Bug Fixes
- Added
.aimas a project marker for detection (fixes #17)- Users no longer need
.gitor language-specific files - Simply creating a
.aimfolder is sufficient for project-local storage
- Users no longer need
- Version now read from package.json instead of being hardcoded
Full Changelog: https://github.com/shaneholloman/mcp-knowledge-graph/compare/v1.2.0...v1.2.2
用户点评
登录用户的真实使用记录,可按版本和硬件筛选还没有人点评。第一个说出真实体验的人最有价值。
MCP Knowledge Graph
Persistent memory for AI models through a local knowledge graph.
Store and retrieve information across conversations using entities, relations, and observations. Works with Claude Code/Desktop and any MCP-compatible AI platform.
Why ".aim" and "aim_" prefixes?
AIM stands for AI Memory - the core concept of this system. The three AIM elements provide clear organization and safety:
.aimdirectories: Keep AI memory files organized and easily identifiableaim_tool prefixes: Group related memory functions together in multi-tool setups_aimsafety markers: Each memory file starts with{"type":"_aim","source":"mcp-knowledge-graph"}to prevent accidental overwrites of unrelated JSONL files
This consistent AIM naming makes it obvious which directories, tools, and files belong to the AI memory system.
CRITICAL: Understanding .aim dir vs _aim file marker
Two different things with similar names:
.aim= Project-local directory name (MUST be named exactly.aimfor project detection to work)_aim= File safety marker (appears inside JSONL files:{"type":"_aim","source":"mcp-knowledge-graph"})
For project-local storage:
- Directory MUST be named
.aimin your project root - Example:
my-project/.aim/memory.jsonl - The system specifically looks for this exact name
For global storage (--memory-path):
- Can be ANY directory you want
- Examples:
~/yourusername/.aim/,~/memories/,~/Dropbox/ai-memory/,~/Documents/ai-data/ - Complete flexibility - choose whatever location works for you
Storage Logic
File Location Priority:
- Project with
.aim- Uses.aim/memory.jsonl(project-local) - No project/no .aim - Uses configured global directory
- Contexts - Adds suffix:
memory-work.jsonl,memory-personal.jsonl
Safety System:
- Every memory file starts with
{"type":"_aim","source":"mcp-knowledge-graph"} - System refuses to write to files without this marker
- Prevents accidental overwrite of unrelated JSONL files
Master Database Concept
The master database is your primary memory store - used by default when no specific database is requested. It's always named default in listings and stored as memory.jsonl.
- Default Behavior: All memory operations use the master database unless you specify a different one
- Always Available: Exists in both project-local and global locations
- Primary Storage: Your main knowledge graph that persists across all conversations
- Named Databases: Optional additional databases (
work,personal,health) for organizing specific topics
Key Features
- Master Database: Primary memory store used by default for all operations
- Multiple Databases: Optional named databases for organizing memories by topic
- Project Detection: Automatic project-local memory using
.aimdirectories - Location Override: Force operations to use project or global storage
- Safe Operations: Built-in protection against overwriting unrelated files
- Database Discovery: List all available databases in both locations
Quick Start
Global Memory (Recommended)
Add to your claude_desktop_config.json or .claude.json. Two common approaches:
Option 1: Default .aim directory (simple)
{
"mcpServers": {
"Aim-Memory-Bank": {
"command": "npx",
"args": [
"-y",
"mcp-knowledge-graph",
"--memory-path",
"/Users/yourusername/.aim"
]
}
}
}
Option 2: Dropbox/cloud sync (portable)
For accessing memories across multiple machines, use a synced folder. This is how the author of this MCP server keeps his own memories:
{
"mcpServers": {
"Aim-Memory-Bank": {
"command": "npx",
"args": [
"-y",
"mcp-knowledge-graph",
"--memory-path",
"/Users/yourusername/Dropbox/ai-memory"
]
}
}
}
This creates memory files in your specified directory:
memory.jsonl- Master Database (default for all operations)memory-work.jsonl- Work databasememory-personal.jsonl- Personal database- etc.
Project-Local Memory
In any project, create a .aim directory:
mkdir .aim
Now memory tools automatically use .aim/memory.jsonl (project-local master database) instead of global storage when run from this project.
How AI Uses Databases
Once configured, AI models use the master database by default or can specify named databases with a context parameter. New databases are created automatically - no setup required:
// Master Database (default - no context needed)
aim_memory_store({
entities: [{
name: "John_Doe",
entityType: "person",
observations: ["Met at conference"]
}]
})
// Work database
aim_memory_store({
context: "work",
entities: [{
name: "Q4_Project",
entityType: "project",
observations: ["Due December 2024"]
}]
})
// Personal database
aim_memory_store({
context: "personal",
entities: [{
name: "Mom",
entityType: "person",
observations: ["Birthday March 15th"]
}]
})
// Master database in specific location
aim_memory_store({
location: "global",
entities: [{
name: "Important_Info",
entityType: "reference",
observations: ["Stored in global master database"]
}]
})
File Organization
Global Setup:
/Users/yourusername/.aim/
├── memory.jsonl # Master Database (default)
├── memory-work.jsonl # Work database
├── memory-personal.jsonl # Personal database
└── memory-health.jsonl # Health database
Project Setup:
my-project/
├── .aim/
│ ├── memory.jsonl # Project Master Database (default)
│ └── memory-work.jsonl # Project Work database
└── src/
Available Tools
aim_memory_store- Store new memories (people, projects, concepts)aim_memory_add_facts- Add facts to existing memoriesaim_memory_link- Link two memories togetheraim_memory_search- Search memories by keywordaim_memory_get- Retrieve specific memories by exact nameaim_memory_read_all- Read all memories in a databaseaim_memory_list_stores- List available databasesaim_memory_forget- Forget memoriesaim_memory_remove_facts- Remove specific facts from a memoryaim_memory_unlink- Remove links between memories
Parameters
context(optional) - Specify named database (work,personal, etc.). Defaults to master databaselocation(optional) - Forceprojectorglobalstorage location. Defaults to auto-detection
Database Discovery
Use aim_memory_list_stores to see all available databases:
{
"project_databases": [
"default", // Master Database (project-local)
"project-work" // Named database
],
"global_databases": [
"default", // Master Database (global)
"work",
"personal",
"health"
],
"current_location": "project (.aim directory detected)"
}
Key Points:
- "default" = Master Database in both locations
- Current location shows whether you're using project or global storage
- Master database exists everywhere - it's your primary memory store
- Named databases are optional additions for specific topics
Configuration Examples
Important: Always specify --memory-path to control where your memory files are stored.
Auto-approve read operations (recommended):
{
"mcpServers": {
"Aim-Memory-Bank": {
"command": "npx",
"args": [
"-y",
"mcp-knowledge-graph",
"--memory-path",
"/Users/yourusername/.aim"
],
"autoapprove": [
"aim_memory_search",
"aim_memory_get",
"aim_memory_read_all",
"aim_memory_list_stores"
]
}
}
}
Troubleshooting
"File does not contain required _aim safety marker" error:
- The file may not belong to this system
- Manual JSONL files need
{"type":"_aim","source":"mcp-knowledge-graph"}as first line - If you created the file manually, add the
_aimmarker or delete and let the system recreate it
Memories going to unexpected locations:
- Check if you're in a project directory with
.aimfolder (uses project-local storage) - Otherwise uses the configured global
--memory-pathdirectory - Use
aim_memory_list_storesto see all available databases and current location - Use
ls .aim/orls /Users/yourusername/.aim/to see your memory files
Too many similar databases:
- AI models try to use consistent names, but may create variations
- Manually delete unwanted database files if needed
- Encourage AI to use simple, consistent database names
- Remember: Master database is always available as the default - named databases are optional
Requirements
- Node.js 22+
- MCP-compatible AI platform
License
MIT