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piia-engram

Skill Development Usable
Works inClaude Code
Usable Scanned — metadata only

Enables persistent, portable context across multiple AI tools without vendor lock-in or cloud storage risks, reducing friction when switching between Claude,…

Local-first 'AI work identity' layer served over MCP: your preferences, quality bar, lessons learned, and project context live as JSON/Markdown files under ~/.engram/, and MCP-compatible tools — Claude Code, Codex, Cursor, Claude Desktop — read from the same store. A setup wizard auto-detects installed AI tools and writes their MCP config after confirmation. High-risk memory writes (credentials, shell commands) wait for user review; no cloud account required.

165 starsAGPL-3.0 (check with legal)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Enables persistent, portable context across multiple AI tools without vendor lock-in or cloud storage risks, reducing friction when switching between Claude, other LLMs, or specialized agents.

Engineering teams integrating multiple AI tools into workflows who need consistent session state without external dependencies.

Claude Code Claude Cowork Claude Chat

https://github.com/Patdolitse/piia-engram

By Patdolitse

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
pip install piia-engram && engram setup

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

First thing to try

After installing, paste this into Claude:

Remember my project context and coding preferences across multiple conversations automatically
PrerequisitesPython 3.10+ and pip.CostFree

Trust Signals Auto-scanned

Stars165Contributors1Last updated2026-08-06LicenseAGPL-3.0 (check with legal)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-11 · scanner vattempted-no-data

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 162 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

Things to check

  • AGPL v3 license (copyleft) — check compliance before commercial embedding. Low/medium-risk memory writes are auto-absorbed by default (auditable and reversible); set ENGRAM_APPROVAL=strict to gate every write. Cross-tool continuity is proven for Claude Code -> Codex; several other clients are listed as 'expected to work' rather than verified.
  • License (AGPL-3.0) may restrict commercial use. Check with your legal team.
  • Single maintainer. Consider the risk if this person stops maintaining the project.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 162 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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