---
title: PMLL
description: Persistent spatial memory for AI agents (Stellar commitment anchoring planned)
---

# PMLL

Gives AI agents persistent spatial memory so they can retain long-term context, form symbiotic memory layers, and maintain durable state across sessions.

PMLL provides durable, structured memory primitives useful for agentic workflows. It supports the PPM project, Context+ pipelines, and supermodeltools/cli for analysis and visualization. **On-chain commitment anchoring on Stellar (storing 32-byte hashes of off-chain memory via a Soroban contract) is planned.**

## Highlights

- Persistent, addressable spatial memory (off-chain today).
- PPM-based context stitching and MCP tools for memory ingestion and retrieval.
- Integration with forloopcodes/contextplus for hierarchical indexing and supermodeltools/cli for graphing and analysis.
- Planned: atomic Soroban `pmll-anchor` contract that stores only a 32-byte commitment + emits events (full payload stays off-chain).

## Quick start

1. Install the memory MCP package:

```bash
pip install pmll-memory-mcp
# or via npm: npx pmll-memory-mcp