Persistent 5-level hierarchical memory for AI agents. SQLite-backed, lazy-loaded.
Persistent 5-level hierarchical memory for AI agents. SQLite-backed, lazy-loaded.
One load_project() call. ~3000 tokens. Your agent knows everything important about a project — every past mistake, every decision, every open task — across sessions, devices, and AI providers. No setup per conversation. No "let me re-read the codebase." It just remembers.
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{
"mcpServers": {
"hmem": {
"command": "/absolute/path/to/node",
"args": ["/absolute/path/to/hmem/dist/mcp-server.js"],
"env": { "HMEM_PROJECT_DIR": "/home/yourname/.hmem" }
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| HMEM_PROJECT_DIR | Filesystem location the server is allowed to use. | Optional |
| HMEM_AGENT_ID | Configuration value read at startup. | Optional |
| HMEM_PATH | Filesystem location the server is allowed to use. | Optional |
| DEEPSEEK_API_KEY | Credential the server authenticates with. | Yes |
| ANTHROPIC_API_KEY | Credential the server authenticates with. | Yes |
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
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