Memorix vs Plur

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

Bottom line · 2026-08-25

monthly package install counts are comparable (6,710 vs 8,736); 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, Hermes, OpenClaw, Cursor).

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, OpenClaw, Hermes Agent, Oh-my-Pi, Pi, Kiro, Antigravity, Trae, DeepSeek Harness, 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, Hermes, OpenClaw, Cursor). 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 6,710 8,736
GitHub stars 688 241
Last commit 2026-08-25 2026-08-23
Releases · last 90 days 10+ 10+
In the registry since Jul 2026 Jul 2026
Registry versions 23 10
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 259 #3 of 259

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…

  • → category standing - #2 of 259 maintained memory servers

Pick Plur if…

  • → its documented toolset fits - 15 tools including plur_learn, plur_learn_batch
  • → measured package adoption matters - 8,736 monthly installs

Who's behind them

Memorix - avids2: 1 MCP server tracked, 1 maintained, 688 combined stars.

Plur - plur-ai: 1 MCP server tracked, 1 maintained, 241 combined stars.

Not sold on either?

The next-ranked memory servers we track:

Quick answers

Is Memorix better than Plur?

The numbers don't separate them: 6,710 vs 8,736 monthly installs, and both committed within the last month. Choose on fit - execution model, extracted environment variables, endpoint authentication, and license are in the table above. Data as of 2026-08-25.

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 2026-08-25.