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penfieldlabs/penfield-mcp

penfieldlabs/penfield-mcp

Penfield: persistent memory wi
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add penfield-mcp -- npx -y penfield-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
6 ★ · penfieldlabs/penfield-mcp · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 6 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 penfieldlabs/penfield-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Penfield

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**Persistent memory for AI agents.** Store decisions, preferences, and context that survive across sessions. Build knowledge graphs that compound over time. Works with Claude, Cursor, Windsurf, Gemini CLI, and any MCP-compatible tool.
---
Quick Start
Claude (Desktop, Mobile, Web)
Add as a custom connector in Settings → Connectors:
Claude Code
Cursor
**One-click install:**
Install Penfield in Cursor
Cut and paste into your browser:
Or add manually to ~/.cursor/mcp.json:
Windsurf, Cline, Roo Code, and Others
Add to your MCP configuration file:
| App | Config Location |
|-----|-----------------|
| Windsurf | ~/.codeium/windsurf/mcp_config.json |
| Cline | VS Code Settings → Cline → MCP Servers |
| Roo Code | VS Code Settings → Roo Code → MCP Servers |
| Zed | ~/.config/zed/settings.json under "context_servers" |
Gemini CLI
Or add to ~/.gemini/settings.json:
---
What You Get
**17 tools** for persistent memory:
| Category | Tools |
|----------|-------|
| **Memory** | store, recall, search, fetch, update_memory |
| **Knowledge Graph** | connect, disconnect, explore |
| **Context** | awaken, reflect, save_context, restore_context, list_contexts |
| **Artifacts** | save_artifact, retrieve_artifact, list_artifacts, delete_artifact |
**Hybrid search** combining BM25 (keyword), vector (semantic), and graph (connections) for recall that actually finds what you need.
**Cross-platform sync** — same memory, same knowledge graph, regardless of which tool you connect from.
---
How It Works
1. **Sign up** at portal.penfield.app/sign-up
2. **Connect** using one of the methods above
3. **Authenticate** when prompted (OAuth flow)
4. **Start using** — your agent now has persistent memory
Every session should start with:
Without these, your agent starts cold with no context.
---
Documentation
- Tools Reference — All 17 tools with parameters and examples
- Memory Types — The 11 memory types and when to use each
- Relationships — The 24 relationship types for connecting memories
- AI Agent Guide — Instructions for AI agents using Penfield
---
Use Cases
**Personal assistant that remembers**
- Your preferences compound over time
- Picks up conversations where you left off
- Learns how you like things done
**Development workflows**
- Track investigation threads across sessions
- Remember architectural decisions and why they were made
- Hand off context between coding sessions
**Research and writing**
- Build knowledge graphs of connected ideas
来源
awesome · https://github.com/penfieldlabs/penfield-mcp
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