Plur vs Superlocalmemory
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 (8,736 vs 7,909); both are actively maintained, with commits inside the last month.
How they differ in kind
Plur focuses on: Persistent, open memory for AI agents - local-first, zero-cost, shared across MCP tools (Claude Code, Hermes, OpenClaw, Cursor). Superlocalmemory focuses on: Rent the LLM. Own the memory. Rent an LLM - but own the memory, for your company and for your industry. Environment-variable extraction: Plur yielded no variables extracted; Superlocalmemory yielded 4 variables. Implementation languages differ (TypeScript vs Python).
What each one does
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.
Superlocalmemory
Rent the LLM. Own the memory. Rent an LLM - but own the memory, for your company and for your industry. It runs locally over stdio via the published package.
From the project's README.
14 signals, side by side
| Signal | Plur | Superlocalmemory |
|---|---|---|
| Monthly installs | 8,736 | 7,909 |
| GitHub stars | 241 | 221 |
| Last commit | 2026-08-23 | 2026-08-25 |
| Releases · last 90 days | 10+ | 10+ |
| In the registry since | Jul 2026 | Feb 2026 |
| Registry versions | 10 | 1 |
| Documented tools | 15 | not extracted - see README |
| Env vars extracted | none extracted - see README | 4 |
| Runs | local (stdio) | local (stdio) |
| Endpoint auth | local only | local only |
| Maintenance | actively maintained | actively maintained |
| License | Apache-2.0 | AGPL-3.0 |
| Language | TypeScript | Python |
| Category rank | #3 of 259 | #4 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.
Plur 15 tools documented
plur_learn- Store a correction, preference, or conventionplur_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 budgetplur_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 backplur_session_scope- Change the session's default write scope mid-session
+7 more on the full page
Superlocalmemory no tool list in README
Environment variables found in the READMEs
These are extracted names, not a requiredness check. Project docs may mark them optional or require other setup.
Plur
No environment variables were extracted from the README setup. Check the project documentation for other authentication or configuration steps.
Superlocalmemory
- SLM_MESH_HOST
- SLM_MESH_SHARED_SECRET
- SLM_MESH_PEER_URL
- SLM_MCP_PROFILE
Which one, for what
Derived from the signals above, not hands-on testing.
Pick Plur if…
- → you prefer a TypeScript codebase to extend or audit
- → its documented toolset fits - 15 tools including plur_learn, plur_learn_batch
Pick Superlocalmemory if…
- → you prefer a Python codebase to extend or audit
- → category standing - #4 of 259 maintained memory servers
Who's behind them
Plur - plur-ai: 1 MCP server tracked, 1 maintained, 241 combined stars.
Superlocalmemory - varun369: 1 MCP server tracked, 1 maintained, 221 combined stars.
Not sold on either?
The next-ranked memory servers we track:
Quick answers
Is Plur better than Superlocalmemory?
The numbers don't separate them: 8,736 vs 7,909 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 Plur and Superlocalmemory 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.
What environment variables do their READMEs document?
Plur: no environment variables extracted from the README setup; Superlocalmemory: 4 environment variables extracted from the README setup. Extraction does not rule out other authentication or configuration steps; check each project's current documentation.
Keep exploring: best memory servers · TypeScript servers · Python 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.