memorizz plugin for Codex
MemoRizz: A Python library serving as a memory layer for AI applications. Leverages popular databases and storage solutions to optimize memory usage. Provides utility classes and methods for efficient data management.
How to install memorizz in Codex
1. Add the repo as a Codex plugin marketplace:
codex plugin marketplace add RichmondAlake/memorizz2. Install the plugin from it:
codex plugin add memorizz@memorizzThis repo ships a Codex marketplace file (.agents/plugins/marketplace.json). The first command adds it as a marketplace (Codex CLI reference); the second installs the plugin 'memorizz'. 'memorizz' is the marketplace name from that file. Check the repo README too. Command format: Codex CLI reference.
What it contains
Plugins in this marketplace (1)
memorizz— Durable, searchable project memory for Codex, plus your saved MemoRizz agents, through MemoRizz's MCP server.
About this listing
memorizz is a community plugin on GitHub by RichmondAlake. Its README documents a Codex install and the repo ships a Codex plugin manifest. It passed the CodexStacks quality filter for repos found this way (at least 500 stars, pushed in the last 90 days, not a fork or a list). OpenAI hasn't reviewed it and we haven't tested it. From its files we found 1 plugin. It's one of 175 listings in the Productivity category. It also appears in best Codex plugins for data and databases.
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memorizz FAQ
How do I install memorizz in Codex?
Add the repo as a Codex plugin marketplace with codex plugin marketplace add RichmondAlake/memorizz, then install it with codex plugin add memorizz@memorizz. Commands: the command format from the Codex CLI reference; check the repo README too.
Is memorizz an official Codex plugin?
No. memorizz is a community repo on GitHub by RichmondAlake. It passed the CodexStacks quality filter, but OpenAI hasn't reviewed it and we haven't tested it, so read the code before you install it.
What does memorizz include?
From its manifest and repo files, memorizz includes 1 plugin: memorizz.
Details
- Type
- Plugin
- Category
- Productivity
- Source
- Community
- Author
- RichmondAlake
- GitHub stars
- 774 (at last sync)
- Last push
- 2026-10-12
- Manifest
.agents/plugins/marketplace.json- GitHub topics
- ai, artificial-intelligence, data-management, mongodb, oracle, oracle-database, python, semantic-search
- Source
- https://github.com/RichmondAlake/memorizz
- Listed via
- GitHub search: README documents a Codex install
- Tested by CodexStacks
- Not yet
Something wrong or missing? Submit or improve this listing. Listings also refresh automatically every night.
For maintainers: badge and embeds
Maintain memorizz? Add the badge; it links to this page.
Markdown
[](https://codexstacks.com/p/memorizz/)HTML
<a href="https://codexstacks.com/p/memorizz/"><img src="https://codexstacks.com/badge.svg" alt="Listed on CodexStacks" width="172" height="28"></a>Embed card (static HTML and inline CSS, no JavaScript). Preview:
<a href="https://codexstacks.com/p/memorizz/" style="display:block;max-width:380px;box-sizing:border-box;padding:14px 16px;border:1px solid #3a2c26;border-radius:12px;background:#0d0b0a;color:#f3ece6;font:14px/1.45 -apple-system,Segoe UI,Roboto,Helvetica,Arial,sans-serif;text-decoration:none"><span style="display:block;font-size:16px;font-weight:700;color:#f3ece6">memorizz</span><span style="display:block;margin:2px 0 8px;font-size:12px;color:#b5a9a1">Community Codex plugin · 1 plugin</span><span style="display:block;margin:0 0 10px;color:#ddd3cc">MemoRizz: A Python library serving as a memory layer for AI applications. Leverages popular databases and storage…</span><span style="font-size:12px;font-weight:600;color:#ffb347">View on CodexStacks →</span></a>Markdown summary
**[memorizz on CodexStacks](https://codexstacks.com/p/memorizz/)**: Community Codex plugin with 1 plugin.More on badges, embeds and keeping your listing up to date: CodexStacks for plugin authors.
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