ppm · git:20260815.078218a · 2026-08-15 · sha256 339c76efe1cc37b9
ppm git:20260815.078218aB
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--- 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