Persistent memory for MCP-compatible agents: memory bank, fact cortex, dreams, graph.
Most knowledge and memory work still happens through a UI a human drives. Pseudolife Memory MCP server moves it into the conversation instead. Persistent memory for MCP-compatible agents: memory bank, fact cortex, dreams, graph.
An MCP server that gives coding agents a long-term memory that persists across sessions — surviving context compactions and fresh tasks. Your coding agent is the intelligence; this server is its memory on disk.
Configuration is passed through the environment: PSEUDOLIFE_MCP_TOKEN. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
The server ships on PyPI as pseudolife-mcp, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
This sits in the knowledge and memory group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by Pseudogiant-xr; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
{
"mcpServers": {
"pseudolife": {
"command": "uvx",
"args": ["pseudolife-mcp"],
"env": {
"PSEUDOLIFE_MCP_TOKEN": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| PSEUDOLIFE_MCP_TOKEN | Credential the server authenticates with. | Yes |
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.