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mempalace

MemPalace/mempalace

The best-benchmarked open-source AI memory system

GitHub Website

GraphCanon updated Oct 4, 2026 · GitHub synced Sep 20, 2026

123views this month

59k stars7.6k forksLast push Sep 18, 2026 Python MIT

Decision brief

mempalace is an open-source AI memory system that leverages ChromaDB as its default vector-store backend, supporting Python 3.9+ and offering both local and server-based embedding options.

Good fit when

When you need a benchmarked open-source AI memory system that supports a wide range of languages through the embeddinggemma-300m model.
If you require a system that can be run locally or on a server, with the flexibility to switch between local and server-based embedding options.

Avoid when

If you are working in an environment where Python 3.9+ is not available, as mempalace requires this version or higher.
When you need a system that does not require at least 300 MB of disk space for the embedding model, as mempalace requires this minimum space for its recommended multilingual model.

Observed Sep 18, 2026 · Source: enrich:decision_facts

mempalace alternatives Trust report

mempalace vs cognee mempalace vs memvid mempalace vs memsearch

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Maintenance and security

Full trust report

Maintenance: Very active (0d since push); As of Sep 18, 2026
Provenance: Not a fork · Organization account; As of Sep 18, 2026
Security (OSV): No lockfile; As of Oct 4, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install mempalace

PyPI

How it fits your stack(34)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

An open-source AI memory system that uses ChromaDB as its default vector-store backend, supporting Python 3.9+ and offering both local and server-based embedding options.

Capability facts

Deploy: Self-host
Source: dockerfile:Dockerfile · Sep 18, 2026
Docker: Dockerfile present
Source: dockerfile:Dockerfile · Sep 18, 2026
CLI: CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 18, 2026
MCP server: No MCP server detected
Source: repo_scan · Sep 18, 2026
Languages: python
Source: github.language+pyproject.toml · Sep 18, 2026

Graph entities

Chromaframework

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 18, 2026)

without a local Python toolchain. Multi-arch (amd64 + arm64), so it runs

Source link

README

Docker A container image is also available for running the MCP server or the CLI without a local Python toolchain. Multi arch (amd64 + arm64), so it runs natively on Apple Silicon: Everything persists under — palace, config, and the cached embedding model — so mount a volume ther...

For agents

This page has a .md twin and JSON over the API.

/tools/mempalace-mempalace.md GET /api/graphcanon/tools/mempalace-mempalace GET /api/graphcanon/graph?tool=mempalace-mempalace