AI-Collab-Memory

MCP server that saves work logs, shares research, and manages checkpoints for recovery.

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3 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "sodam-ai-ai-collab-memory_mcp": {
      "command": "node",
      "args": [
        "<install-path>/AI-Collab-Memory/dist/index.js"
      ]
    }
  }
}

AI-Collab-Memory MCP Server enables you to persist work logs, share research results, and create checkpoints for recovery during collaborative AI workflows. It centralizes collaboration artifacts so your team can track progress and resume work efficiently without real-time AI messaging.

How to use

Connect your MCP client to the AI-Collab-Memory server using the provided MCP configuration. You will interact with seven tools to manage work, research, and checkpoints.

How to install

Prerequisites: Node.js 18 or later.

Step by step install and build flow.

# Prerequisite: ensure Node.js is installed (v18+)
node -v
npm -v

# Step 1: obtain the code
# Clone or download the repository containing AI-Collab-Memory

# Step 2: install dependencies and build
npm install && npm run build

# Step 3: start using the server (if your environment requires a local run)
# This step depends on how you plan to run the MCP server locally.

Additional configuration and usage notes

The server can be connected to through multiple MCP clients. The following explicit configuration examples show how to register the server with different clients.

{
  "mcpServers": {
    "ai_collab_memory": {
      "command": "node",
      "args": ["<install-path>/AI-Collab-Memory/dist/index.js"]
    }
  }
}

Available tools

log_work

Save a work record to the work log.

get_work_log

Retrieve and view stored work logs.

save_research

Persist research results for later sharing and reuse.

search_research

Search through saved research for relevant topics.

save_checkpoint

Save the current state as a checkpoint for recovery.

load_checkpoint

Load a previously saved checkpoint to resume work.

memory_status

View overall server status and health of stored data.