Local-first MCP memory vault: files you own, shared across ChatGPT, Claude, Gemini & any MCP client
Elesync MCP server exists for a simple reason — assistants are far more useful when they can act on Elesync directly instead of describing what you should do. Local-first MCP memory vault: files you own, shared across ChatGPT, Claude, Gemini & any MCP client.
It keeps your notes, preferences, project facts, study material, and AI memories in a folder you control. Your AI clients can then read and write useful memories from the same place instead of each app keeping its own isolated history.
Installation goes through your MCP client rather than a global install: point it at elesync on PyPI and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
Among the knowledge and memory options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by darknodebros; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
{
"mcpServers": {
"elesync": {
"command": "uvx",
"args": ["elesync"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.