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.. The imprint memory layer mcp server wraps that behind the Model Context Protocol, so an assistant can use it rather than through you.

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

Adding it to your client

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

When to reach for it

Among the knowledge and memory options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by alexandruleca; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Imprint Memory Layer's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Caveats

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the imprint memory layer mcp server does with a few real requests.

Frequently asked questions

It connects Imprint Memory Layer to MCP-compatible AI assistants such as Claude and Cursor. Instead of copying data back and forth by hand, the assistant works with Imprint Memory Layer directly.