100 lines
3.6 KiB
XML
100 lines
3.6 KiB
XML
<?xml version="1.0"?>
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<Container version="2">
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<Name>MemPalace</Name>
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<Repository>mempalace-server:latest</Repository>
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<Registry>https://github.com/MemPalace/mempalace</Registry>
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<Network>bridge</Network>
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<MyIP/>
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<Shell>sh</Shell>
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<Privileged>false</Privileged>
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<Support>https://github.com/MemPalace/mempalace/issues</Support>
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<Project>https://github.com/MemPalace/mempalace</Project>
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<Overview>
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Local-first AI memory server. Stores conversations and project content
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verbatim in a searchable palace, exposed to MCP-compatible AI tools
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(Claude Code, Codex, Antigravity, etc.) over Server-Sent Events on
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port 8765.
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The image is built locally — see Dockerfile in the repo root. From the
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Unraid CLI:
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cd /mnt/user/<path>/mempalace
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docker build -t mempalace-server:latest .
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Then add this template via Add Container -- Template.
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Mount /mnt/user/appdata/mempalace to /data for persistent storage of
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the ChromaDB index, SQLite knowledge graph, and embedding-model cache.
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SECURITY: this container exposes the MCP endpoint without authentication.
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Bind it to a trusted network (LAN-only or Tailscale) or place it behind
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SWAG / Nginx Proxy Manager with bearer-token or basic auth.
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Endpoint: http://[UNRAID-IP]:8765/sse
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</Overview>
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<Category>Productivity: Tools: Other:</Category>
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<WebUI/>
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<TemplateURL/>
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<Icon>https://raw.githubusercontent.com/MemPalace/mempalace/develop/assets/mempalace_logo.png</Icon>
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<ExtraParams>--user 99:100</ExtraParams>
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<PostArgs/>
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<CPUset/>
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<DateInstalled/>
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<DonateText/>
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<DonateLink/>
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<Description>
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Persistent AI memory across machines. Connect Claude Code, Codex,
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Antigravity, or any MCP-compatible client to a single shared palace.
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</Description>
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<Config Name="MCP SSE port"
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Target="8765"
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Default="8765"
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Mode="tcp"
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Description="Port the MCP-over-SSE endpoint listens on. Clients connect to http://[UNRAID-IP]:[PORT]/sse."
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Type="Port"
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Display="always"
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Required="true"
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Mask="false">8765</Config>
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<Config Name="Appdata"
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Target="/data"
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Default="/mnt/user/appdata/mempalace"
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Mode="rw"
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Description="Persistent storage for the palace (ChromaDB), knowledge graph (SQLite), embedding-model cache, and config."
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Type="Path"
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Display="always"
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Required="true"
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Mask="false">/mnt/user/appdata/mempalace</Config>
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<Config Name="Palace path (inside container)"
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Target="MEMPALACE_PALACE_PATH"
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Default="/data/palace"
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Mode=""
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Description="Subdirectory inside /data where ChromaDB files live. Change only if migrating from a different layout."
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Type="Variable"
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Display="advanced"
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Required="false"
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Mask="false">/data/palace</Config>
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<Config Name="Embedding device"
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Target="MEMPALACE_EMBEDDING_DEVICE"
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Default=""
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Mode=""
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Description="ONNX execution provider: cpu | cuda | dml | coreml. Leave blank for auto. CUDA requires the NVIDIA Driver plugin and GPU passthrough; the image must be rebuilt with the [gpu] extra installed."
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Type="Variable"
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Display="advanced"
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Required="false"
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Mask="false"></Config>
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<Config Name="Entity-detection languages"
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Target="MEMPALACE_ENTITY_LANGUAGES"
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Default="en"
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Mode=""
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Description="Comma-separated language codes for entity detection (e.g. en,es,de)."
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Type="Variable"
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Display="advanced"
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Required="false"
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Mask="false">en</Config>
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</Container>
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