Memory for coding agents, checked against the filesystem and git before it is believed.
Bettermemory MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Memory for coding agents, checked against the filesystem and git before it is believed.
An MCP memory server for coding agents. Stored facts get checked against the filesystem and git before the model relies on them, so a memory that has rotted is flagged instead of quoted back at you.
bettermemory on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.
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 0Mattias; 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": {
"bettermemory": {
"command": "uvx",
"args": ["bettermemory"]
}
}
}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.