Patdolitse/piia-engram

Overview

Piia-Engram is a local-first memory layer for AI tools that stores and retrieves context across sessions using an MCP-compatible interface. It runs as a Python service, keeping user data on their own machine under the Apache 2.0 license.

Best for

Best for
Developers who want a private, self-hosted memory layer for MCP-compatible AI tools

Use cases

• Persist conversation history across different AI chat interfaces
• Share context between multiple MCP-compatible tools without cloud storage
• Build a private, self-hosted memory backend for AI agents

How to use

Install

pip install piia-engram && engram setup

Tools exposed

• get_user_context
• wrap_up_session
• memory_store
• add_lesson
• add_decision
• add_playbook
• search_knowledge
• get_relevant_knowledge
• get_recall
• get_identity_card
• update_identity
• get_project_context
• save_project_snapshot
• get_recent_context
• get_daily_log
• get_resume_brief
• register_tool
• find_tool
• list_tools
• save_agent_context

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, Cline, ChatGPT

Notes

Piia-Engram is a local-first memory layer for AI tools that stores and retrieves context across sessions using an MCP-compatible interface. It runs as a Python service, keeping user data on their own machine under the Apache 2.0 license.

161 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Use cases

• Persist conversation history across different AI chat interfaces
• Share context between multiple MCP-compatible tools without cloud storage
• Build a private, self-hosted memory backend for AI agents

Pros

• Local-first design keeps sensitive data on your own machine
• MCP compatibility allows integration with many existing AI tools
• Open source with permissive Apache 2.0 license

Cons

• Requires Python runtime and manual setup to run
• Limited to MCP-compatible tools, not a universal memory solution
• Small community (161 stars) means fewer examples and support

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.