Imprint Memory Layer MCP Server

<strong>Persistent memory for AI coding tools. 100% local. Zero API cost.</strong>

Local serverstdioPython

What is the Imprint Memory Layer MCP Server?

Persistent memory for AI coding tools. 100% local. Zero API cost.

What it actually does

  • Remembers what your AI forgets. — Decisions, patterns, bug fixes, and architectural choices persist across sessions — searched semantically, not grepped
  • −70.4% tokens, −31.7% cost. — Measured across 150 runs on Claude Code (Sonnet). Your AI searches memory instead of re-reading files. See BENCHMARK.md for raw numbers
  • Runs 100% locally by default. — EmbeddingGemma-300M via ONNX, Qdrant vector DB, Chonkie chunking — all on your machine. No API credits consumed unless you opt in
  • One command, any host. — Wires into Claude Code, Cursor, Codex CLI, Copilot, or Cline via MCP. Same memory, shared across tools
  • Embeddings — EmbeddingGemma-300M via ONNX Runtime (GPU or CPU), no network calls, no per-token cost
  • Vector store — Qdrant auto-spawned as a local daemon on 127.0.0.1:6333. Your data never leaves the box unless you sync it to another device

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Frequently asked questions

<strong>Persistent memory for AI coding tools. 100% local. Zero API cost.</strong> Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.