AI-Collab-Memory
An MCP server for managing work logs, research results, and task checkpoints to enable seamless collaboration and state recovery between AI agents. It provides a persistent memory layer for tracking project history and resuming workflows across different sessions or tools.
README
š§ AI-Collab-Memory
AI Collaboration Memory - MCP server for work logs, research sharing, and checkpoint recovery
ā ļø What This Is (and Isn't)
| ā Can Do | ā Cannot Do |
|---|---|
| Save work logs | Real-time AI communication |
| Share research results | Auto command delivery |
| Checkpoint (save point) for recovery | Wake up other AIs to execute |
| Track who did what |
For real-time collaboration? ā Use Antigravity to call Claude Code/Codex directly via terminal!
š Installation
Prerequisites
- Node.js (v18+) - Download
Install Steps
- Clone or download this repository
- Double-click
install.bat(Windows) or run:npm install && npm run build - Done!
š MCP Registration
š” Replace
<install-path>with your actual installation path.
Claude Code
claude mcp add ai-collab-memory -- node "<install-path>/AI-Collab-Memory/dist/index.js"
Codex (~/.codex/config.toml)
[mcp_servers.ai-collab-memory]
command = "node"
args = ["<install-path>/AI-Collab-Memory/dist/index.js"]
Antigravity / Claude Desktop (JSON)
{
"mcpServers": {
"ai-collab-memory": {
"command": "node",
"args": ["<install-path>/AI-Collab-Memory/dist/index.js"]
}
}
}
š ļø Tools (7)
Work Log
| Tool | Description |
|---|---|
log_work |
Save work record |
get_work_log |
View work logs |
Research
| Tool | Description |
|---|---|
save_research |
Save research results |
search_research |
Search research |
Checkpoint (Save Point)
| Tool | Description |
|---|---|
save_checkpoint |
Save current state (for recovery) |
load_checkpoint |
Load saved state |
Status
| Tool | Description |
|---|---|
memory_status |
View overall status |
š Usage Examples
Log work
"Log this work. Claude Code created the API."
Save research
"Save this research result."
Save checkpoint (before interruption)
"Save checkpoint now. I'll continue tomorrow."
Resume work
"Load the last checkpoint."
Check status
"Show memory status."
š” Key Use Cases
Case 1: Recovery After Interruption
1. During work
ā "Save checkpoint"
2. (Computer shuts down / Session disconnects)
3. Next day
ā "Load last checkpoint"
ā See progress + next steps
ā Resume immediately!
Case 2: Track Collaboration History
1. Claude Code: Finished API development
ā "Log this work"
2. Codex: Frontend development
ā "Log this work"
3. Later
ā "Show work log"
ā See who did what at a glance
Case 3: Share Research
1. Antigravity: Research React 18
ā "Save research"
2. Claude Code: When writing code
ā "Search React research"
ā Use already researched content!
š Project Structure
AI-Collab-Memory/
āāā src/
ā āāā index.ts ā MCP server source (7 tools)
āāā data/ ā Runtime data (auto-created, git-ignored)
ā āāā work_log.json
ā āāā research.json
ā āāā checkpoint.json
āāā dist/ ā Build output (auto-generated)
āāā install.bat ā Windows one-click installer
āāā package.json
āāā tsconfig.json
āāā SKILL.md ā Claude Skill definition
āāā README.md ā English docs (this file)
āāā README.ko.md ā Korean docs
āāā LICENSE
š License
MIT License. See LICENSE for details.
š¤ Author
Sodam AI Studio
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.