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Patdolitse/piia-engram

Patdolitse/piia-engram

Persistent user identity a
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 piia-engram -- npx -y piia-engram
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
162 ★ · Patdolitse/piia-engram · 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 · 162 ★ · 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 Patdolitse/piia-engram;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

Piia Engram

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

Local-first AI work identity you can see, edit, and override — portable across your MCP coding tools.
Tell AI once who you are, how you work, and what "good" means.
Claude Code, Codex, Cursor, Windsurf, and other MCP-compatible tools can start from the same AI work identity layer — local files you own, no cloud account, no hidden memory you cannot inspect.
Install · See It in Action · Supported Tools · MCP Tools · FAQ
ENGLISH | 中文
**Listed in:**
Also listed in: awesome-agents · Awesome-MCP-ZH · mcpservers.org · Cursor Directory · ModelScope · PulseMCP
---
> **TL;DR:** piia-engram is a local-first personal AI identity layer. It helps multiple coding agents start from the same understanding of you: your preferences, quality bar, lessons learned, decisions, and project context. It is not an agent memory database; it is the user-owned layer above your tools.
**Why not just use native memory?** Claude Code, Codex, Cursor, and Windsurf are adding their own memories and rules. Those are useful, but they are scoped to one tool or workspace. piia-engram gives you one portable identity layer above them: local files you own, AI-proposed knowledge you review, and context that can follow you across tools.
**Trust model in four lines:**
- **No cloud account:** install with pip, keep the core store on your machine.
- **Local files:** identity and knowledge live under ~/.engram/ as JSON/Markdown.
- **User approval:** AI writes locally; high-risk items (credentials, shell commands, MCP config, permission rules) wait for your review, while low/medium writes are auto-absorbed but fully auditable and reversible. Set ENGRAM_APPROVAL=strict to gate every write. "Verified" means accepted by you or by that policy, not re-checked against your current code.
- **Session continuity:** Resume output can also include earlier session records (checkpoints and snapshots) that are not reviewed and do not authorize actions. Approval and review claims apply to identity and long-term knowledge under the configured policy.
- **Documented boundaries:** see Trust model, Privacy, and Security.
Want proof? See the live cross-tool continuity proof — a memory written by Claude Code, read back by Codex through one local store — or the one-command reproducible code demo.
See It in Action
And you never have to take that on faith — **Memory Lens** (engram preview --html) shows exactly what any AI caller would receive, and what governance withheld, before anything is sent:
*Above: a real report from a demo store — 4 items exposed; an unreviewed staging note and a lesson containing a credential are withheld, with the secret shown as [REDACTED].*
---
Install
The wizard auto-detects your AI tools — Claude Code, Cursor, Codex, Claude Desktop — lists the exact config files it will touch, and writes the MCP connection after a one-keystroke confirm (every write is backed up first; decline and nothing changes). It previews your identity card, then you restart your configured tool; the first conversation can load your approved identity and long-term knowledge through startup or search tools. (full walkthrough ↓)
---
Let your AI agent install it
Ask your coding agent to install Engram and inspect the plan before applying:
Setup asks no questions. Use --clients cursor,codex to limit clients and
--lang zh|en for output language (default en). Without --apply, plan mode
writes nothing to the Engram store, home directory or client configs. Python
itself may use the system temporary directory. Apply configures MCP connections
with backups, preserves existing tool modes, and never imports memories, writes
identity/knowledge, or approves proposals. Restart configured clients; exit code
1 means a manual step remains. See llms.txt for agent instructions and
the CLI and JSON contract for details.
Supported Tools
Evidence levels follow the agent client validation runbook: L0 = discovery, L1 = protocol access, L2 = read/search behavior, L3 = A/B behavior gain, L4 = cross-client continuity, L5 = reproducible public evidence.
| Tool | Integration | Evidence status |
|---|---|---|
| Claude Code | MCP over stdio | L4 partial continuity proof (Claude Code -> Codex) |
| Codex | MCP over stdio | L4 partial continuity proof (Claude Code -> Codex) |
| Cursor | MCP over stdio | L2 setup/read-search evidence path |
| Claude Desktop | MCP over stdio | L1/L2 setup path; client-specific evidence pending |
| Hermes | MCP over stdio | L4 controlled CLI marker continuity; desktop and broad benchmark claims unverified |
来源
awesome · https://github.com/Patdolitse/piia-engram
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