memex vs sayou
memex is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑18.
memex is a plugin bundle for AI coding tools published by Barış ATALAY. No marketplace we read lists it any more. sayou is an MCP server published by pixell-global. Marketplaces we read that list it: 2 (Official MCP Registry, Community GitHub marketplaces). As of our marketplace pass on 2026-10-19. A plugin in this pair is no longer listed on any marketplace we read, so search engines are asked not to index the page.
Where each is published
| Marketplace |  sayou | |
|---|---|---|
| Community marketplace barisatalay/memex | Removed on 2026-10-18 Version: 1.0.0 Forks (GitHub): 0 Stars (GitHub): 3 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 0.2.2 Downloads/month (PyPI): 122 Downloads/week (PyPI): 117 Forks (GitHub): 1 Stars (GitHub): 28 Not marked · First seen |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
The facts side by side
| Fact | memexno longer listed · | sayou |
|---|---|---|
| Marketplaces that list it (differs) | 0 | 2 |
| Stars (GitHub) (differs) | 3 | 28 |
| Forks (GitHub) (differs) | 0 | 1 |
| Last release | Not published | Not published |
| Where it runs (differs) | Installs as a plugin bundle | On your machine (sayou) |
| Transport (differs) | Not stated | stdio |
| Tools it declares | Not published | Not published |
| Environment variables it asks for | Not published | Not published |
| Hooks it runs (differs) | Not published | 3 |
| Parts of the bundle (differs) | 3 | 9 |
| Licence (differs) | MIT | Apache-2.0 |
| Repository (differs) | github.com/barisatalay/memex | github.com/pixell-global/sayou |
| Changes in the last 7 days (differs) | 4 | 2 |
| First seen (differs) | 2026-10-14 | 2026-10-11 |
Lines where the two differ have a tinted background and bold values. No value is marked better or worse: a plugin no marketplace lists any more is shown with its last known data, which we do not rank against current figures.
What to use instead of memex
Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.
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A second brain for Claude Code + Obsidian inspired by Karpathy's LLM Wiki gist. Turn any LLM CLI into a disciplined wiki maintainer: incrementally ingest sources into a…
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Build and maintain an LLM-curated personal knowledge base in your project. Implements Andrej Karpathy's LLM Wiki pattern with sharded indexes, atomic pages, BM25 search, and a…
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Build and maintain a persistent AI-tended research wiki. Includes MCP server with 49 tools, slash commands, sub-agents, and an auto-context-injection hook.
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Membase connects Claude Code to Membase Cloud, giving Claude persistent memory and wiki workflows across coding sessions. It can recall relevant prior context before prompts, save…
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wiki-knowledge-compiler
Ingest sources, build a structured markdown knowledge base, and maintain it with AI-powered workflows. Local-first, markdown-first.
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Personal wiki and memory layer for AI assistants. Persistent, structured memory across sessions.
What each says it does
memex
A persistent, compounding knowledge base for AI-assisted development — inspired by Karpathy's LLM Wiki pattern
sayou
Persistent knowledge workspace for AI agents. Versioned files, search, and MCP tools.
How to run each
memex
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
sayou As a local MCP server: PyPI package
claude mcp add --transport stdio sayou -- uvx sayouCommands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
Neither one's marketplaces publish a list of tools, so there is nothing to compare.
Settings each asks for
Neither one's marketplaces publish the settings it asks for.
What it can do: memex · What it can do: sayou · Compare two other plugins
Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.