README

MemPalace

Local-first AI memory. Verbatim storage, pluggable backend, 96.6% R@5 raw on LongMemEval — zero API calls.

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 [!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 .com variants) 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.

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 What it is

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.

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 Install

 Agent-guided setup

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:

bash
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.

 Direct CLI setup

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 you

Top issues

Discussions

Latest release

A palace can now be audited and repaired in guided steps, and EmbeddingGemma 2 arrives as an opt-in embedder with native image, audio and video search. Every palace records the embedding model that built it and refuses to open with a different one. Conversation mining stops discarding text, status, search, wake-up and hub mines stay responsive on large palaces, and a round of correctness fixes from the 3.11 review hardens metadata updates, recovery and HTTP validation.

 Upgrade notes

- The first conversation mine after upgrading re-mines each conversation file it covers, once. The exchange c