Works with the AI tools you already use
Nex Mempalace Memory System
by Nex AI
Deploy a structured, long-term memory palace for AI agents on Raspberry Pi via MCP and ChromaDB.
Secure checkout via Stripe
See it in action
You say
I want to give my Telegram assistant a long-term memory palace on my Raspberry Pi so it remembers my project details and personal preferences across different chats.
Your agent does
I've generated your MemPalace deployment package:
setup-mempalace.sh: Installs ChromaDB on your Pi and registers the MCP server.wing_config.json: Configured with 'Projects' and 'Preferences' wings.memory-protocol.md: Instructions for your bot to search context before replying.
What you get
About this skill
What it does
The Nex MemPalace Memory System provides a sophisticated, long-term semantic memory architecture for AI agents. It transforms a standard Raspberry Pi or Linux server into a centralized "Memory Palace" using a structured hierarchy of wings (projects/people), halls (facts/preferences), and drawers (verbatim logs). Built on ChromaDB and SQLite, it enables agents to recall past conversations, project details, and user preferences with high precision across separate sessions.
Why use this skill
Standard LLM memory is often transient or limited to simple key-value pairs. This skill implements a full Memory Protocol that instructs your agent to search for context before responding and store insights after interacting. By running as an MCP (Model Context Protocol) server, it allows multiple bots (Telegram, OpenClaw, or CLI) to share a unified knowledge base. It is specifically optimized for ARM64 architecture, ensuring smooth deployment on Raspberry Pi hardware.
Supported tools
- Database: ChromaDB (Vector) and SQLite (Relational)
- Frameworks: MCP (Model Context Protocol), OpenClaw, Telegram Bot API
- Hardware: Raspberry Pi (ARM64), Linux Servers
- Languages: Python-based venv deployment
The Output
The skill generates a complete deployment package including an idempotent shell script for automated Pi installation, a small "Identity Layer" for session-start persona loading, and specific JSON configurations for your memory wings and keyword routing. It also provides a dedicated 'Memory Protocol' document that teaches your agent the logic of when to search and when to store.
Built by Nex AI. More skills and info at nex-ai.be and slopsome.com.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
Reviews
No reviews yet
Be one of the first to try it. Every listed skill passes our trust checks below.
Security scanned
Passed our 8-point scan before listing
Fresh listing
Recently published to Agensi
30-day refund
Not a fit? Get your money back
Trust & safety
Security scanned
Verified clean 8 days ago
- 30-day refund guarantee
- One-time purchase, yours forever
- Secure checkout via Stripe
Creator
Founder of Nex AI. I build production-grade Claude Skills from systems that actually run: multi-tenant SaaS, Telegram agents, Raspberry Pi infrastructure, 3D multiplayer rooms. Every skill ships battle-tested patterns, not theory. 33+ open source skills published, commercial catalog growing.
Frequently Asked Questions
Popular in AI Agents & LLM Ops
designing-hybrid-context-layers
Architects the right retrieval strategy for every query — teaching your agent when to use RAG, a knowledge graph, or a temporal index instead of defaulting to vector search for everything.
prompt-engineer
Professional prompt engineering patterns for building robust, secure, and production-ready LLM applications.
codex-grade-coding
Turn your AI agent into a senior engineer with strict task classification and verification-driven coding protocols.
temporal-reasoning-sleuth
Give AI agents the ability to trace decision chains, reconstruct causal sequences, and reason over complex event timelines spanning months or years.