Memorix vs Plur

Two MCP servers from our memory ranking, compared on live data - updated nightly, never sponsored.

Bottom line · 2026-09-18

Memorix records significantly more monthly package installs (29,602 vs 7,596); both are actively maintained, with commits inside the last month.

How they differ in kind

Memorix focuses on: Local-first shared memory layer for AI coding agents. Plur focuses on: Persistent, open memory for AI agents - local-first, zero-cost, shared across MCP tools (Claude Code, Codex, Cursor, Hermes, OpenClaw).

What each one does

Memorix

Local-first shared memory layer for AI coding agents. One project memory system for Claude Code, Codex, CodeBuddy Code, Cursor, Windsurf, Copilot, Gemini CLI, OpenCode, Grok Build, OpenClaw, Hermes Agent, Oh-my-Pi, Pi, Kiro, Antigravity, Trae, DeepSeek Harness, WorkBuddy, and any MCP-capable agent.

From the project's README.

Plur

Persistent, open memory for AI agents - local-first, zero-cost, shared across MCP tools (Claude Code, Codex, Cursor, Hermes, OpenClaw). Your agent's memory is plain-text engrams you can read, correct, and delete - not weights you can't. Its 15 documented tools cover plur, learn.

From the project's README.

14 signals, side by side

Signal Memorix Plur
Monthly installs 29,602 7,596
GitHub stars 785 291
Last commit 2026-09-18 2026-09-18
Releases · last 90 days 2 10+
In the registry since Jul 2026 Jul 2026
Registry versions 34 14
Documented tools not extracted - see README 15
Env vars extracted none extracted - see README none extracted - see README
Runs local (stdio) local (stdio)
Endpoint auth local only local only
Maintenance actively maintained actively maintained
License Apache-2.0 Apache-2.0
Language TypeScript TypeScript
Category rank #2 of 304 #5 of 304

What their tools cover

Extracted from each project's README - the tools each server hands your agent. A missing list means the README doesn't document one, not that no tools exist.

Memorix no tool list in README

Plur 15 tools documented

  • plur_learn - Store a correction, preference, or convention
  • plur_learn_batch - Store many engrams in one call (batch dedup + per-item failure…
  • plur_recall - Retrieve relevant memories - hybrid (BM25 + embeddings) by default…
  • plur_inject_hybrid - Select engrams for current task within token budget
  • plur_feedback - Rate relevance (trains quality over time)
  • plur_forget - Retire a memory (activation decays, eventually pruned)
  • plur_rescope - Move an existing engram to another scope - personal → team, or back
  • plur_session_scope - Change the session's default write scope mid-session

+7 more on the full page

Which one, for what

Derived from the signals above, not hands-on testing.

Pick Memorix if…

  • → you want the more widely installed option - 29,602 monthly installs vs 7,596
  • → measured package adoption matters - 29,602 monthly installs

Pick Plur if…

  • → release velocity matters - 10+ releases in 90 days vs 2
  • → its documented toolset fits - 15 tools including plur_learn, plur_learn_batch

Who's behind them

Memorix - avids2: 1 MCP server tracked, 1 maintained, 785 combined stars.

Plur - plur-ai: 1 MCP server tracked, 1 maintained, 291 combined stars.

Not sold on either?

The next-ranked memory servers we track:

Quick answers

Is Memorix better than Plur?

Package installs favor Memorix: 29,602 monthly installs to 7,596. Plur still ranks #5 of 304 maintained memory servers. Data as of 2026-09-18; we haven't hands-on tested either.

Can I use Memorix and Plur together?

Yes - MCP clients accept multiple servers in one config, so you can enable both memory servers side by side. If their tools overlap, keep the one whose toolset fits to keep your agent's tool list lean.

Keep exploring: best memory servers · TypeScript servers · all comparisons · every server

Methodology: package-usage signal = npm/PyPI installs (last month, platform APIs) · maintenance = commit recency + release cadence (GitHub) · tool lists and environment-variable names extracted from each project's README · endpoint auth from our own nightly probes. We haven't hand-tested these servers; everything here is data as of 2026-09-18.