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ai-dememory

PyPI

Local-first personal multi-LLM memory toolchain and MCP server.

Versions collected1
Direct dependencies0From release 2.1.1
Last observed21 Oct, 10:26 UTC

README

Version 2.1.1 documentation

ai DeMemory

ai DeMemory is a local-first memory toolchain for people who work with more than one AI assistant. It provides a Python CLI, an optional local MCP server, review-first memory workflows, and a private vault whose Markdown files remain the canonical data.

Install

Use Python 3.11 or newer. For a published stable release on the default PyPI index:

python -m pip install --upgrade ai-dememory

Prereleases and non-default indexes require the exact version and index command on the matching GitHub Release. Do not assume the default PyPI command installs a prerelease.

Start

Use the wizard-first command documented by that matching release; older releases can retain a compatibility flag. The wizard creates bounded local operating policy. It does not start a daemon, schedule background work, call a model, or promote durable memories. Follow-up actions such as MCP configuration, a loopback-only local API, indexing, hooks, and schedules are optional and explicit.

Trust boundary

Keep the private vault outside source checkouts and do not place credentials, tokens, private keys, or personal memories in this public package repository. SQLite indexes and generated reports are disposable; approved Markdown remains the portable source of truth.

For full documentation, exact release artifacts, compatibility notes, and prerelease availability, see the ai DeMemory repository.

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Versions 1

Collected releases
VersionPublishedDirect dependenciesOpen version
2.1.123 Aug 20260

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gonzalotorreras/ai-dememory

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Observed since 21 Oct, 10:26 UTC

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package:d50e245186cc7938ffd010190c49b28a082286b920dc53ee7c741431d3f1cf3e