memory-bridge
Cross-project memory sharing for Claude Code and Cowork. Stop teaching Claude the same thing twice.
README
memory-bridge
Cross-project memory sharing for Claude Code and Cowork. Stop teaching Claude the same thing twice.
Claude's memory is project-isolated. Teach it "use pnpm" in project A, repeat yourself in project B. memory-bridge adds a shared layer — namespaces — between global and project scope. Solves #36561 and #39195.
Global ~/.claude/CLAUDE.md (Claude native)
Namespace ~/.claude/shared-memory/<ns>/*.md (memory-bridge)
Project ~/.claude/projects/<proj>/memory/*.md (Claude native)
Install
Claude Code (one command)
claude mcp add memory-bridge -- uvx claude-memory-bridge
Done. No clone, no config files. Requires uv (curl -LsSf https://astral.sh/uv/install.sh | sh).
Cowork Desktop
Add to your config file (Settings > Developer > Edit Config):
{
"mcpServers": {
"memory-bridge": {
"command": "uvx",
"args": ["claude-memory-bridge"]
}
}
}
Requires uv. Then restart Cowork.
Manual install (advanced)
git clone https://github.com/LewenW/claude-memory-bridge.git
cd claude-memory-bridge
pip install -e .
python scripts/install.py
Tools
| Tool | What it does |
|---|---|
search_memories |
Search across all projects and shared namespaces |
promote_memory |
Move a memory from project to shared namespace |
sync_memory |
Copy a memory to specific projects |
list_shared_memories |
Browse namespace contents |
manage_namespaces |
Create, delete, subscribe, unsubscribe |
get_memory_health |
Find duplicates, stale entries, broken indexes |
Quick start
In a Claude Code or Cowork session:
# Create a namespace
"Create a shared namespace called 'frontend' for React conventions"
# Share knowledge
"Promote 'Use pnpm, not npm' to the frontend namespace"
# Subscribe a project
"Subscribe my dashboard project to the frontend namespace"
# Search across everything
"Search memories for pnpm"
Client compatibility
| Client | Auto | Manual |
|---|---|---|
| Claude Code (CLI) | Yes | Yes |
| Cowork — Code mode | Yes | Yes |
| Cowork — Cowork mode | :( | Yes — mention "memory-bridge" or tool name |
Cowork mode loads the MCP tools but doesn't inject server instructions, so Claude won't use them unprompted. Workaround: say "use search_memories" or mention "memory-bridge". This will work automatically once Cowork supports MCP instructions.
How it works
- Reads/writes Claude's native
~/.claude/projects/*/memory/*.mddirectly — no database - Shared memories in
~/.claude/shared-memory/<namespace>/ registry.jsontracks namespace subscriptions- Word-boundary TF-IDF search scoring
- Trigram Jaccard similarity for duplicate detection (threshold 0.45)
Uninstall
claude mcp remove memory-bridge # Claude Code
Or remove the memory-bridge entry from your Cowork config file.
Project structure
src/memory_bridge/
├── server.py MCP server, 6 tools
├── config.py Paths + constants
├── models.py Dataclasses
├── store/
│ ├── base.py MemoryStore interface
│ └── filesystem.py File I/O + keyword search
└── engine/
├── retriever.py Cross-project search
├── promoter.py Project → namespace promotion
├── namespace_manager.py Namespace CRUD
└── health_analyzer.py Dedup + staleness + index audit
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。