Most AI memory systems are just databases with a search API. memory-v2 is a **cognitive architecture** -- it models how human memory actually works.
Most knowledge and memory work still happens through a UI a human drives. Memory V2 MCP server moves it into the conversation instead. Most AI memory systems are just databases with a search API. memory-v2 is a cognitive architecture -- it models how human memory actually works.
Because this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.
The server publishes 2 tools. What each one is for:
Noise — Activation includes a stochastic noise term drawn from the logistic distribution:Schema — Entities are normalized to lowercase. Edges carry weight (incremented on repeated observation), temporal metadata (valid_from, valid_until)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. Memory V2's toolset — Noise, Schema — is a fair guide to whether it matches your workflow. It is maintained by haustorium12; 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We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Noise | Activation includes a stochastic noise term drawn from the logistic distribution: |
| Schema | Entities are normalized to lowercase. Edges carry weight (incremented on repeated observation), temporal metadata (valid_from, valid_until), confidence scores, and source file provenance. |
```json
{
"mcpServers": {
"memory": {
"command": "memory-v2-server",
"args": ["--db", "~/memory.db"]
}
}
}Configuration as documented by the project. Restart the client after saving.
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.