Memory engine for AI agents. Two axes: **time** (three-layer decay & promotion) and **space** (self-organizing topic tree). Important memories get
Memory engine for AI agents. Two axes: time (three-layer decay & promotion) and space (self-organizing topic tree). Important memories get promoted, noise
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{
"mcpServers": {
"engram-rs": {
"command": "npx",
"args": ["-y", "engram-rs-mcp"],
"env": {
"ENGRAM_LLM_URL": "your-value",
"ENGRAM_LLM_KEY": "your-value",
"ENGRAM_LLM_PROVIDER": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| ENGRAM_LLM_URL | Endpoint or connection string the server talks to. | Yes |
| ENGRAM_LLM_KEY | Credential the server authenticates with. | Yes |
| ENGRAM_LLM_PROVIDER | Configuration value read at startup. | Optional |
Store entities, relations and observations in a local knowledge graph with the reference Memory MCP server.
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Local, explainable knowledge base for AI agents: hybrid search with provenance over SQLite.
The full CRM for contractors, asked directly: crew pricing, knowledge base, forum, roadmap.
A Model Context Protocol (MCP) server that exposes the [APLCart](https://aplcart.info) idiom collection with semantic search capabilities. APLCart is