Unified Memory MCP
Local explicit memory vault exposing MCP tools for storing, searching, and managing memories, providing a shared memory layer for agents like Codex and ChatGPT.
README
Unified Memory MCP
Local, explicit memory vault exposed as an MCP server. It is meant to give Codex, ChatGPT Apps, and your own agent clients a shared memory layer without relying on private product memory crossing surfaces automatically.
What It Does
- Stores memories in
~/.unified-memory-mcp/memories.json. - Writes a minimal audit log to
~/.unified-memory-mcp/events.jsonl. - Exposes MCP tools over stdio.
- Hides
sensitive: truememories from default read/search/list calls. - Keeps the storage format human-readable and easy to back up or inspect.
Tools
remember: create a memory.search_memory: search active memories by text and filters.list_memories: list recent memories.get_memory: fetch a memory by id.update_memory: patch an existing memory.forget_memory: hard-delete a memory.memory_stats: show vault paths and aggregate counts.
Memory Shape
{
"id": "mem_...",
"type": "preference",
"scope": "personal",
"namespace": "default",
"content": "Prefer pnpm over npm for JavaScript projects.",
"tags": ["javascript", "package-manager"],
"source": "manual",
"confidence": 0.8,
"sensitive": false,
"created_at": "2026-07-04T00:00:00.000Z",
"updated_at": "2026-07-04T00:00:00.000Z",
"expires_at": null,
"metadata": {}
}
Allowed type values: preference, project, workflow, fact, decision, context, rule.
Allowed scope values: personal, company, repo, project, global.
Local Usage
cd /Users/yoshikondo/unified-memory-mcp
npm test
npm run smoke
npm run smoke:http
Run the MCP server directly:
MEMORY_MCP_HOME=/Users/yoshikondo/.unified-memory-mcp node /Users/yoshikondo/unified-memory-mcp/src/server.js
Run the optional Streamable HTTP MCP server:
MEMORY_MCP_HOME=/Users/yoshikondo/.unified-memory-mcp \
MEMORY_MCP_HOST=127.0.0.1 \
MEMORY_MCP_PORT=3199 \
npm run http
The HTTP endpoint is http://127.0.0.1:3199/mcp; health is available at http://127.0.0.1:3199/health.
If you bind to anything other than localhost, set MEMORY_MCP_TOKEN and put the service behind HTTPS before connecting remote clients.
Codex Setup
Add this to ~/.codex/config.toml:
[mcp_servers.unified_memory]
command = "node"
args = ["/Users/yoshikondo/unified-memory-mcp/src/server.js"]
startup_timeout_sec = 10
tool_timeout_sec = 30
[mcp_servers.unified_memory.env]
MEMORY_MCP_HOME = "/Users/yoshikondo/.unified-memory-mcp"
Restart Codex after changing MCP config.
Privacy Notes
Do not store secrets, credentials, private keys, API tokens, or raw sensitive personal data. Mark entries sensitive: true only as an extra visibility guard; it is not encryption.
This is separate from built-in ChatGPT memory and Codex memory. It is an explicit source of truth that clients can connect to through MCP.
For ChatGPT, this is the backend MCP surface. You still need a ChatGPT App or remote MCP deployment with HTTPS and appropriate auth before ChatGPT web can use it.
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.