Piia Engram
Give coding agents a local-first memory of lessons, decisions, and project context so sessions stay coherent without leaking identity data to the cloud.
Overview
io.github.Patdolitse/piia-engram is a Build-phase MCP server that supplies local-first AI identity memory—lessons, decisions, and context—for coding agents via a PyPI stdio package.
What is this MCP server?
- Local-first AI identity: lessons, decisions, and context stored under your control
- pypi stdio package piia-engram (manifest version 3.53.0) for MCP coding tools
- Targets MCP-enabled IDEs and agents that need continuity across long build arcs
- Positions as engram-style memory rather than a generic notes app integration
- Open source at github.com/Patdolitse/piia-engram for self-hosted identity layer
- Registry identifier: piia-engram (pypi, stdio transport)
- Repository: github.com/Patdolitse/piia-engram
Community signal: 163 GitHub stars.
What problem does it solve?
Agent sessions reset and cloud memory feels risky when you need the assistant to remember why you chose a stack or what broke last sprint.
Who is it for?
Solo builders who want persistent agent memory and decision logs on their machine while using Claude Code or Cursor daily.
Skip if: Teams that need shared SSO wikis, compliance-audited cloud knowledge bases, or zero local disk footprint.
What do I get? / Deliverables
After installing the stdio MCP server, your agent can read and write durable local identity and decision context you govern instead of re-explaining every session.
- Queryable and writable local store of lessons, decisions, and agent-facing context
- More consistent multi-session agent behavior without re-uploading project lore each time
Recommended MCP Servers
Journey fit
Persistent agent identity and memory are core agent-tooling concerns while you build and iterate on products with AI assistants. Agent-tooling is the canonical shelf for MCP servers that extend how the assistant remembers and represents you across repos.
How it compares
Local-first identity and engram MCP memory, not a hosted RAG SaaS connector or a one-shot brainstorming SKILL.md.
Common Questions / FAQ
Who is io.github.Patdolitse/Piia Engram for?
It is for developers using MCP coding tools who want a personal, local-controlled memory of lessons and decisions rather than only ephemeral chat history.
When should I use io.github.Patdolitse/Piia Engram?
Use it during build (and ongoing operate) when you repeatedly re-teach the agent your preferences, past mistakes, and architecture choices across projects.
How do I add io.github.Patdolitse/Piia Engram to my agent?
Install the Piia Engram PyPI package, register it as a stdio MCP server in your client configuration per the repo README, then grant tools access according to your local security comfort.