Mempalace is an MCP server that the best-benchmarked open-source AI memory system. And it's free. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 63/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"mempalace": {
"args": [
"run",
"-i",
"--rm",
"-v",
"mempalace-data:/data",
"mempalace"
],
"command": "docker"
}
}
}Are you the author?
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Local-first AI memory. Verbatim storage, pluggable backend, 96.6% R@5 raw on LongMemEval — zero API calls.
This server supports HTTP transport. Be the first to test it - help the community know if it works.
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No known CVEs.
Checked mempalace against OSV.dev.
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Local-first AI memory. Verbatim storage, pluggable backend, 96.6% R@5 raw on LongMemEval — zero API calls.
[![][version-shield]][release-link] [![][python-shield]][python-link] [![][license-shield]][license-link] [![][discord-shield]][discord-link]
[!CAUTION] Beware of impostor sites. MemPalace has no other official websites. The only official sources are this GitHub repository, the PyPI package, and the docs at mempalaceofficial.com. Any other domain (including
.tech,.net, or other.comvariants) is an impostor and may distribute malware. Details and timeline: docs/HISTORY.md.
[!IMPORTANT] Claude Code sessions expire in 30 days without auto-save hooks wired. Read this →
Need the shortest recovery/setup path? Use the Claude Code retention setup checklist.
MemPalace stores your conversation history as verbatim text and retrieves it with semantic search. It does not summarize, extract, or paraphrase. The index is structured — people and projects become wings, topics become rooms, and original content lives in drawers — so searches can be scoped rather than run against a flat corpus.
The retrieval layer is pluggable. The current default is ChromaDB; the
interface is defined in mempalace/backends/base.py
and alternative backends can be dropped in without touching the rest of
the system.
Nothing leaves your machine unless you opt in.
Architecture, concepts, and mining flows: mempalaceofficial.com/concepts/the-palace.
Install the MemPalace skills first, then ask your coding agent to set up MemPalace. The setup skill detects your system, installs the Python package, configures MCP, and asks whether you want a private local palace, a shared-brain hub, or a client connected to an existing hub:
npx skills add MemPalace/mempalace
The repository exposes three skills: mempalace for guided installation and
operations, mempalace-recall for search-before-answer recall, and
mempalace-task for logstream delegation. Installing a skill does not by
itself install the MemPalace CLI or MCP server; the setup skill guides the
agent through those system changes and verifies the live connection.
During guided setup the agent can offer weekly stable-release checks. They are
disabled by default, contact only PyPI when enabled, and never install updates
automatically. Cached availability appears in scoped mempalace_status fields
for the serving runtime and, when a local proxy is present, its client runtime,
allowing the agent to explain the release and request authorization before showing an exact
upgrade plan. Setup records whether the runtime came from uv tool, pipx, or
pip so the plan never proposes an upgrade command for the wrong installation.
MemPalace ships a CLI, so install it in an isolated environment to avoid
PEP 668 errors on Debian/Ubuntu/Homebrew Pythons and to keep mempalace's
deps (chromadb, numpy, grpcio, …) from conflicting with anything
else in your global site-packages.
We recommend uv — uv tool install puts
the mempalace CLI in an isolated environment on your PATH:
uv tool install mempalace
mempalace init ~/projects/myapp
pipx works the same way if you prefer it:
pipx install mempalace.
Prefer plain pip only inside an activated virtualenv where you
explicitly want import mempalace available:
python -m venv .venv && source
... [View full README on GitHub](https://github.com/MemPalace/mempalace#readme)