Observed since 21 Oct, 10:26 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
Local-first personal multi-LLM memory toolchain and MCP server.
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.
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.
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.
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.
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 2.1.1 | 23 Aug 2026 | 0 |
This describes our collected data; it is not a security assessment.
Shared repository data · GitHub
Observed since 21 Oct, 10:26 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
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