Piia Engram MCP server
io.github.Patdolitse/piia-engram·v4.27.0·164 starsLocal-first AI identity for MCP coding tools. Lessons, decisions, and context you control.
not scanned yet
164 stars362 downloads/wk
Reviews
Write oneNobody has reviewed Piia Engram yet.
If you have run it, two minutes of your experience saves the next person an afternoon.
Piia Engram tools
No tool declarations could be read from the package source. They show once the server is installed.
How Piia Engram compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 92/100
- higher than 93% of 48,243 servers
- GitHub stars
- 164
- more than 95% of 28,706 servers
- Downloads a week
- 362
- more than 83% of 12,306 servers with a package
Release history: 9 versions in the registry since 2026-09-01, latest 2026-11-01, typically one every 10 days.
Install Piia Engram in Claude Code, Cursor or VS Code
claude mcp add piia-engram -- uvx piia-engram
What the publisher says
From the Piia Engram repository's README, as published. We do not edit it. Read it on GitHub
<!-- mcp-name: io.github.Patdolitse/piia-engram -->
Piia Engram
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.
- 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
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Piia Engram: common questions
- Is Piia Engram MCP server safe?
- Yes, by our scan: it is graded A (92/100). Read the Piia Engram safety report
- How do I install Piia Engram?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Piia Engram need an API key?
- No secret keys are declared. It reads 3 settings from the environment.
- Is Piia Engram maintained?
- The last commit was 13 days ago (2026-10-23). The latest release is v4.27.0.
- How does Piia Engram compare with other MCP servers?
- safety score 92/100 (higher than 93% of 48,243 servers); github stars 164 (more than 95% of 28,706 servers); downloads a week 362 (more than 83% of 12,306 servers with a package). Full comparison.