Memory layer for AI agents — biologically-inspired forgetting, multi-agent trust, and plug-and-play integrations
If you already use Engram, the engram mcp server is the piece that lets your assistant work with it directly. Memory layer for AI agents — biologically-inspired forgetting, multi-agent trust, and plug-and-play integrations.
Dhee gives an agent the bigger story before it takes the next action.
Dhee is the memory layer agents should have had from day one.
Configuration is passed through the environment: DHEE_HTTP_TOKEN, ELEVENLABS_WEBHOOK_SECRET. 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.
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.
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 Engram Team; 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": {
"engram-memory": {
"command": "uvx",
"args": ["dhee"],
"env": {
"DHEE_HTTP_TOKEN": "your-value",
"ELEVENLABS_WEBHOOK_SECRET": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| DHEE_HTTP_TOKEN | Credential the server authenticates with. | Yes |
| ELEVENLABS_WEBHOOK_SECRET | 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.