mempalace
An open-source, local-first AI memory system supporting multiple storage backends.
- Type
- MCP
- Transport
- stdio
- Open source
- Yes
- GitHub Stars
- ★ 56.2k
- Source
- mcp-github
- Repository
- github.com/MemPalace/mempalace
Overview
MemPalace is an open-source, local-first AI memory system designed for storing and retrieving conversation history. It stores data in raw text form and retrieves it using semantic search. The system does not summarize, extract, or rewrite content. The indexing structure is organized into wings, rooms, and drawers, enabling scoped searches. By default, ChromaDB is used as the storage backend, but it supports pluggable alternatives such as SQLite, Qdrant, and pgvector. Ideal for developers needing to manage large volumes of conversation data within a local environment.
Capabilities
- ▪Local-first AI memory system
- ▪Supports multiple storage backends
- ▪Structured indexing system
- ▪Semantic search functionality
Use cases
Setup
Recommended installation methods include `uv tool install mempalace` or `pipx install mempalace`. Alternatively, use `pip install mempalace` within a virtual environment.
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
How to choose a storage backend?
You can select different storage backends via the command-line argument `--backend`, such as ChromaDB, SQLite, etc.
Does it support external services?
Yes, it supports external services like Qdrant and pgvector, which require corresponding environment variables to be configured.
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