Cuba Memorys MCP server

<!-- mcp-name: io.github.LeandroPG19/memory-industry -->

MemoryIndustry

Formerly cuba-memorys. Same daemon, same cuba_* MCP tools, new product name.

Long-term memory for AI coding agents. An MCP server that gives your agent a knowledge graph it can search, reason over, and be corrected by — so it stops forgetting your codebase between sessions.

Written in Rust. Backed by PostgreSQL + pgvector. 31 MCP tools (32 with CUBADOCS=1), 23 CLI commands**, and every number below measured on a benchmark that — as of v0.12 — actually measures what it claims to. (The previous one did not. See Measured.)

Install

pip install memory-industry        # or: npm install -g memory-industry
claude mcp add memory-industry -- memory-industry

# Previous names still install the same binary:
#   pip install cuba-memorys
#   npm install -g cuba-memorys

That is the whole setup. On first run it provisions a PostgreSQL 18 + pgvector container via Docker and initializes the schema. Docker must be running. The cuba-memorys command remains a binary alias.

Cursor / Windsurf / VS Code / Zed

{
  "mcpServers": {
    "memory-industry": {
      "command": "memory-industry"
    }
  }
}

No DATABASE_URL needed. Or run cuba-memorys setup (or memory-industry setup) and it writes the config for every client it finds — then cuba-memorys setup check audits them for disagreement, which is the failure that actually bites (two configs, two embedding dimensions, one silently broken search).

Bring your own PostgreSQL

{
  "mcpServers": {
    "memory-industry": {
      "command": "memory-industry",
      "env": { "DATABASE_URL": "postgresql://user:pass@localhost:5432/brain" }
    }
  }
}

Needs the vector and pg_trgm extensions. cuba-memorys doctor will tell you if anything is missing.

One shared daemon instead of one process per client

stdio gives every client its own process, and every process loads its own copy of the models — embeddings, reranker and NLI together are several GB. Three editor windows meant three copies, and on a 16 GB laptop that is the whole machine.

serve loads them once and answers every client over loopback HTTP, which is also the shape the 2026-07-28 MCP specification settled on: no session handshake, every request self-describing.

cuba-memorys serve                      # 127.0.0.1:8787 by default
cuba-memorys serve 127.0.0.1:9000       # or pick the address

Shortened. The full README is on GitHub.