AI Memory vs MemPalace

AI Memory

Cross-agent task handoffs and shared search. Existing deployments may still lack authentication.

MemPalace

Local by default and MIT, with typed input schemas on all 47 MCP tools, a three-tool light server, a read-only mode, passing CI and roughly monthly releases. Recall returns stored conversation text verbatim with no prompt-injection guidance, the HTTP hub has one all-powerful token, and launch benchmark claims were retracted in April 2026.

AI Memory

1. Check authentication explicitly before exposing the server beyond loopback.
2. Exclude secrets and sensitive repositories from memory capture.
3. Back up memory and follow the version 3 migration guide.

MemPalace

1. Install only from PyPI mempalace, ghcr.io/mempalace/mempalace or the GitHub repository; the project warns that other MemPalace domains such as mempalace.tech have distributed malware.
2. Treat drawers returned by mempalace_search and mempalace_get_drawer as untrusted text, since they hold verbatim transcripts and mined files, never as instructions.
3. Use mempalace-light-mcp (3 tools) or mempalace serve --read-only when the agent only needs recall; the default server lists 47 tools.
4. Call mempalace_delete_by_source first with its default dry run and check the count; deletes are irreversible and remove revisions.
5. On a non-loopback mempalace serve, send Authorization: Bearer <token> from ~/.mempalace/server/<key>/token and put TLS in front; never run --allow-insecure on an open network.