{"categories":[{"label":"Utilities","url":"https://skillfed.io/packages/category/utilities/11"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/11"}],"enrichment":{"capability":"MemPalace stores conversation history and project files as verbatim text and retrieves them via semantic search, with a structured index (wings, rooms, drawers) and pluggable backends including ChromaDB, Qdrant, Milvus, and pgvector.","skillfed_tags":["local-first","rag","vector-search"],"use_cases":["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."],"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\u2014it 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.\n\nIt 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.","worth_installing":"Yes. MemPalace is actively maintained (release 2026-08-14), has no known vulnerabilities, uses MIT license, and solves a real problem\u2014giving 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."},"id":"mempalace","links":{"html":"https://skillfed.io/packages/mempalace","md":"https://skillfed.io/packages/mempalace.md","pypi":"https://pypi.org/project/mempalace/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":"MIT","license_treatment":"permissive","name":"mempalace","python_support":"supports_current","summary":"Give your AI a memory \u2014 mine projects and conversations into a searchable palace. No API key required."},"popularity":{"monthly_downloads":87816,"position":13768,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"3.7.1"}