mempalace
Give your AI a memory — mine projects and conversations into a searchable palace. No API key required.
Decision gist · record as of 2026-08-14
Yes. MemPalace is actively maintained (release 2026-08-14), has no known vulnerabilities, uses MIT license, and solves a real problem—giving AI tools access to your conversation and project history without API calls. Low install friction via uv/pipx, and the pluggable backend design means you can start with ChromaDB and migrate later. Install it if you work with Claude Code, need local RAG, or want to preserve and search your conversation history.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- First embedding model download (~80 MB for default minilm, ~300 MB for embeddinggemma) requires network access and is cached thereafter.
- Requires Python >=3.9.
- Low friction: pure Python wheel, ships as a CLI tool best installed via uv tool install or pipx to avoid dependency conflicts.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions—suitable for both personal and production deployments.
last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 58,372 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 87,816 downloads/mo, #13,768 on PyPI
Alternatives
Verify before relying
# Install via uv (recommended for CLI isolation)
uv tool install mempalace
mempalace init ~/projects/myapp
mempalace mine ~/projects/myapp
mempalace search "why did we switch to GraphQL"
# Or in a virtualenv for library use:
pip install mempalace
import mempalace- Whether the 96.6% R@5 benchmark on LongMemEval is reproducible in typical user workflows or specific to the test dataset.
- Performance characteristics and memory footprint when indexing large codebases or multi-year conversation histories.
- Stability guarantees for the pluggable backend interface across minor version updates.
What it is and what it does
MemPalace is a local-first AI memory system that stores conversation history and project files verbatim and retrieves them using semantic search. It does not summarize or paraphrase—it preserves the original text and indexes it into a structured hierarchy (wings for people/projects, rooms for topics, drawers for content), allowing scoped searches rather than flat corpus queries. The retrieval layer is pluggable; ChromaDB is the default, but you can swap in Qdrant, Milvus, pgvector, or SQLite depending on your deployment model.
It runs entirely on your machine with no API calls or external services required. The package ships both as a CLI tool (best installed via uv tool install or pipx to isolate dependencies) and as a Python library. It integrates with Claude Code and MCP-compatible tools. The fact sheet shows 7 runtime dependencies (chromadb, huggingface-hub, numpy, python-dateutil, pyyaml, tokenizers, tomli), all well-established packages.
Use it for
- Mine Claude Code session transcripts and project files into a searchable palace, then retrieve context for new sessions without manual summarization.
- Build a searchable archive of past conversations and decisions for a team or long-running project, scoped by wing (project) and room (topic).
- Integrate MemPalace as an MCP server into Claude Code or other compatible tools to give the AI access to your project history and conversation context.
- Deploy a local or server-backed vector search layer (via Qdrant, Milvus, or pgvector) for retrieval-augmented generation without cloud dependencies.
- Use the CLI to mine codebases and documentation into a palace, then query it from the command line or via the Python library.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
MemPalace is actively maintained (release 2026-08-14), has no known vulnerabilities, uses MIT license, and solves a real problem—giving AI tools access to your conversation and project history without API calls. Low install friction via uv/pipx, and the pluggable backend design means you can start with ChromaDB and migrate later. Install it if you work with Claude Code, need local RAG, or want to preserve and search your conversation history.
Install
mempalace on PyPI
Before you install
Low friction: pure Python wheel, ships as a CLI tool best installed via uv tool install or pipx to avoid dependency conflicts. Active maintenance with release on 2026-08-14 and 58372 GitHub stars.
First embedding model download (~80 MB for default minilm, ~300 MB for embeddinggemma) requires network access and is cached thereafter. Requires Python >=3.9.
License in practice
MIT license permits commercial and private use with minimal restrictions—suitable for both personal and production deployments.
Quickstart
# Install via uv (recommended for CLI isolation)
uv tool install mempalace
mempalace init ~/projects/myapp
mempalace mine ~/projects/myapp
mempalace search "why did we switch to GraphQL"
# Or in a virtualenv for library use:
pip install mempalace
import mempalaceVerify before relying
- Whether the 96.6% R@5 benchmark on LongMemEval is reproducible in typical user workflows or specific to the test dataset.
- Performance characteristics and memory footprint when indexing large codebases or multi-year conversation histories.
- Stability guarantees for the pluggable backend interface across minor version updates.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 7 packageschromadbhuggingface-hubnumpypython-dateutilpyyamltokenizerstomli |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 87,816 / month, #13,768 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaEnvironment :: ConsoleIntended Audience :: DevelopersProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.9Topic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Utilities |
Evidence: mempalace-3.7.1-py3-none-any.whl
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See also llama-index-vector-stores-qdrant · llama-index-vector-stores-chroma · cognee · llama-index-vector-stores-milvus · llama-index-vector-stores-pinecone · langchain-milvus · llama-index-vector-stores-redis · memsearch · hindsight-client · chroma-mcp