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collective-memory MCP server

io.github.Hustada · Updated

MCP server for persistent, semantic memory across AI sessions

At a glance

collective-memory is an MCP server in the Dev Tools & Git category. It runs locally over stdio via `npx -y collective-memory`, and needs OPENAI_API_KEY. It scores B (70/100) on the MCP Skills Hub health score as of Oct 28, 2026.

Source 0GitHub stars

One-click install

Opens your editor and pre-fills the config. Your editor will ask before adding it.

How to install collective-memory in your AI client

Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.

How to install collective-memory in Claude CodeAnthropic's agentic CLI

  1. Add the server

    bash
    claude mcp add collective-memory -e 'OPENAI_API_KEY=<OPENAI_API_KEY>' -- npx -y collective-memory
  2. Fill in your credentials

    Replace <OPENAI_API_KEY> with your real value. Keep secrets out of any config file you commit.

  3. Verify it's connected

    bash
    claude mcp list
  4. Sharing it with your team?

    Add `--scope project` to write it to .mcp.json in the repository root, which you can commit (with the secrets left as environment variables).

  5. Use it in a session

    Ask Claude to use the tools this server exposes. It discovers them automatically.

What does collective-memory need from you?

API key — OpenAI API key for generating embeddings

  • OPENAI_API_KEYrequiredsecretEnvironment variable

    OpenAI API key for generating embeddings

Pass secrets through your shell environment rather than committing them into a config file.

What tools does collective-memory expose?

This server runs as a local package. We only query remote servers for their tool list — asking this one would mean executing it, so its tools are listed in the documentation below.

What the code can do

Read from the published package source — never executed. Parsed 7 of 7 source files.

This server can make network requests and read your environment variables.

How it was published

  • No provenance attestation — there is nothing linking this published artifact to a specific source commit.
  • 1 npm maintainer — a single point of compromise · last published by hustada.

Maintainer of this package and think something here is wrong? Tell us and we'll correct it.

Before you install

Signals gathered from the source repo and package registry — not a safety verdict.

What it can reach

  • Runs code on your machine — Executes as a local process with your user's permissions, including filesystem access.
  • Downloads at launch — The package is fetched from its registry each run unless you pin a version.
  • Last commit 5 months ago — Actively maintained.
  • 0 GitHub stars — Very little community usage so far.

Client compatibility

Claude Code: NativeClaude Desktop: NativeCursor: NativeCodex CLI: NativeWindsurf: NativeCline: NativeVS Code: Native

Health score

B · 70

Maintenance, adoption, transparency and packaging — not a safety audit. How this is calculated

  • Maintenance30%83%

    Last commit 152 days ago.

  • Adoption20%0%

    0 stars.

  • Transparency20%75%

    3/4: ✓ public source repo, ✓ declared license, ✓ documentation, ✗ discoverable tool list.

  • Provenance15%100%

    Package and registry entry point at the same repository.

  • Packaging15%100%

    Publishes a pinned version (0.1.2).

Documentation

Full README

Collective Memory

MCP server for persistent, semantic memory across AI sessions. Store context, decisions, and learnings — recall them later with natural language search.

Why

AI assistants forget everything between sessions. Collective Memory fixes that. Store what matters, search by meaning, build context that compounds.

Features

  • Semantic search — Find memories by meaning, not keywords (OpenAI embeddings + LanceDB)
  • Automatic deduplication — Won't store near-duplicates (>95% similarity)
  • Project scoping — Organize memories by project
  • Type classification — Categorize as decision, milestone, context, learning, or session_summary
  • Zero config storage — Embedded vector database, no server required

Installation

bash
npm install -g collective-memory

Or clone and build:

bash
git clone https://github.com/Hustada/collective-memory.git
cd collective-memory
npm install
npm run build

Setup

1. Get an OpenAI API key

Required for embeddings. Get one at platform.openai.com.

2. Add to Claude Code

Maintain collective-memory? Add a badge to your README

Shows its health grade, and links readers to install steps for every client.

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