What does the `--allowed-dir` argument do?
It specifies the directories the server has access to. You can use it multiple times; if omitted, the server only accesses the user's home directory.
@PyneSys
Basic information
An MCP server that enables AI agents to persistently store and retrieve project information from a memory file.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"project-mem-mcp": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
An MCP server that stores and retrieves project information in Markdown files, allowing AI agents (like Claude) to maintain persistent memory about projects between conversations. The memory is stored in a MEMORY.md file in each project directory.
Install via uvx or from source. Configure the MCP client (e.g., Claude Desktop) with a JSON entry pointing to the server and specifying allowed directories. The client starts the server automatically. Use the three provided tools: get_project_memory to read memory at the start of a conversation, set_project_memory to overwrite it, and update_project_memory for efficient patching.
It specifies the directories the server has access to. You can use it multiple times; if omitted, the server only accesses the user's home directory.
The MCP client (e.g., Claude Desktop) starts the server based on your configuration. You do not need to start it manually.
Three tools: `get_project_memory` (reads memory), `set_project_memory` (overwrites memory), and `update_project_memory` (applies block-based patches).
The memory is stored in a `MEMORY.md` file inside the project directory, using Markdown formatting.
Yes. Memory files should never contain sensitive information. All file operations are restricted to allowed directories, and project paths are validated against those directories.

Search saved employee handbooks from your AI assistant. Four read-only tools list authorized handbooks, browse policies, search content, and read source pages with citation links. Uses scoped bearer tokens and Streamable

Persistent memory for AI agents. Hosted MCP server with capsule-scoped key/value storage, tags, TTL expiration, bulk ops, and RBAC.

The Cloud is the AI-native workspace that gives every AI — Claude, ChatGPT, Gemini, and other Frontier & Free or Local models — shared memory and real agents. Not cloud computing: thecloud.so is one workspace where your
Project context your AI can query through MCP — with source evidence.

Personal context for every AI: search, read, and write back to your private Markdown library of articles, threads, PDFs, notes, and captured ChatGPT/Claude/Gemini/Grok conversations. Remote server, OAuth 2.1 paste-and-au
Comments