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  3. MCP Memory
MCP Memory logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 2:45:42 PM

MCP Memory

User RatingsBe the first to rate and review this MCP server!
View Repository2 GitHub StarsTotal stargazers on GitHub for the source repository (2 stars).
memoryknowledgesqlitedecaymcp

SQLite-based MCP memory with decay, relevance scoring, deduplication, categorization, and automatic cleanup.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "shipitandpray-mcp-memory": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-memory"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (4) Directory Badge Claim listing Alternatives๐Ÿง  More in Knowledge & Memory

Overview

mcp-memory stores memories for AI agents and ranks them using category-specific decay, access frequency, and relevance. It automatically categorizes content, deduplicates similar memories, supersedes conflicting preferences, and removes memories that have decayed. Use it when an agent needs persistent memory without retaining one-time questions indefinitely.

Use cases

โ€ขStore user preferences and facts
โ€ขRecall memories ranked by relevance
โ€ขForget memories by ID or fuzzy content match
โ€ขInspect decay status and memory health
โ€ขReduce repeated mentions of stale topics

Key features

โ€ขExponential memory decay by category
โ€ขAutomatic content categorization
โ€ขBigram-based semantic deduplication
โ€ขPreference superseding for conflicting memories
โ€ขRecall-based reinforcement and automatic pruning
โ€ขMCP prompts capability for active memory injection

Capabilities & Tool Schemas (4) ~94 tokensApproximate context cost of this serverโ€™s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server โ€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Memory.

remember

Store a memory. Auto-categorizes from content. Auto-deduplicates via bigram similarity. Supersedes conflicting preferences.

recall

Retrieve memories ranked by relevance. Auto-reinforces top match. Auto-prunes dead memories.

forget

Delete a memory by ID or fuzzy content match.

inspect

Debug view: all memories with decay status, relevance scores, category breakdown, health.

Documentation Overview

mcp-memory

Smart memory for AI agents. Memories decay, topics are frequency-weighted, one-time questions don't become obsessions.

Solves the Karpathy problem: "A single question from 2 months ago keeps coming up as a deep interest with undue mentions in perpetuity."

What's New in v0.2.0

  • Auto-categorization โ€” no need to specify category, inferred from content
  • Semantic dedup โ€” bigram similarity prevents duplicate memories
  • Preference supersede โ€” "prefers dark mode" then "prefers light mode" updates, not duplicates
  • Recall auto-reinforces โ€” searching for a topic counts as a mention
  • Recall auto-prunes โ€” dead memories cleaned up on every read
  • System prompt injection โ€” active memories provided via MCP prompts capability
  • Fuzzy forget โ€” "VS Code" matches "User prefers VS Code for all editing"
  • 7 tools โ†’ 4 tools โ€” simpler API, higher adoption (backwards compatible)

In Action

Code
Day 1: User asks 5 questions (Rust, dark mode, Python, job title, Haskell)

  #1 [ACTIVE] rel=1.000 cat=preference "User prefers dark mode in all editors"
  #2 [ACTIVE] rel=0.900 cat=fact       "User works as a senior software engineer"
  #3 [FADING] rel=0.500 cat=question   "User is building a Python web scraper"
  #4 [FADING] rel=0.300 cat=one-time   "User asked about Rust programming"
  #5 [FADING] rel=0.300 cat=one-time   "User asked what Haskell monads are"

Day 2-5: User mentions Python 4 more times โ†’ auto-upgraded to "interest"

  #1 [ACTIVE] rel=2.658 mentions=5 cat=interest    "Python web scraper"
  #2 [ACTIVE] rel=1.000 mentions=1 cat=preference  "dark mode"
  #3 [ACTIVE] rel=0.900 mentions=1 cat=fact         "senior software engineer"
  #4 [FADING] rel=0.300 mentions=1 cat=one-time     "Rust" โ† FADING, won't obsess
  #5 [FADING] rel=0.300 mentions=1 cat=one-time     "Haskell" โ† FADING, won't obsess

After 60 days:
  Rust:   0.3 ร— 0.5^(60/7) = 0.0008 โ†’ DEAD (gone, as it should be)
  Python: 0.8 ร— 0.5^(60/60) ร— 3.32 = 1.329 โ†’ STILL ACTIVE (real interest)

How It Fixes This

Current LLM Memorymcp-memory
Ask about Rust once โ†’ mentioned foreverAsk once โ†’ fades in 7 days
All memories equal weightCategories: one-time (7d), question (14d), interest (60d), preference (180d)
No decayExponential decay โ€” old memories naturally fade
No frequency trackingMentioned 5+ times โ†’ auto-upgrades from "question" to "interest"
Keyword matchingBigram similarity + relevance scoring
Agent must decide to rememberAuto-categorizes from content patterns
Contradicting preferences coexistNew preference supersedes old one
Manual cleanup requiredAuto-prunes dead memories on recall

Install

json
"mcpServers": {
  "memory": {
    "command": "npx",
    "args": ["-y", "mcp-memory"]
  }
}

Tools

ToolWhat it does
rememberStore a memory. Auto-categorizes from content. Auto-deduplicates via bigram similarity. Supersedes conflicting preferences.
recallRetrieve memories ranked by relevance. Auto-reinforces top match. Auto-prunes dead memories.
forgetDelete a memory by ID or fuzzy content match.
inspectDebug view: all memories with decay status, relevance scores, category breakdown, health.

Auto-Categorization

No need to specify category โ€” it's inferred from content:

Content PatternAuto-CategoryDecay
"prefers X", "likes X", "always uses X"preference180 days
"works as X", "is a X", "lives in X"fact365 days
"actually X", "meant X", "wrong"correction365 days
"currently building", "working on"context30 days
"what is X", "how to X"one-time7 days
anything elsequestion14 days

You can still override: remember(content: "...", category: "preference")

Examples

Auto-categorized preference:

Code
remember(content: "User prefers TypeScript over JavaScript")
โ†’ Auto-detected as "preference". Persists 180 days.

Semantic dedup:

Code
remember(content: "Works as data scientist at Google")
remember(content: "Works as senior data scientist at Google")
โ†’ Second call reinforces first (80% similar). Keeps longer version.

Preference supersede:

Code
remember(content: "User prefers dark mode")
remember(content: "User prefers light mode")
โ†’ Superseded: "dark mode" โ†’ "light mode". One memory, not two.

Recall auto-reinforces:

Code
recall(query: "MCP servers")
โ†’ Returns matching memories AND counts this as a mention.
  mention_count goes from 1 โ†’ 2 automatically.

Fuzzy forget:

Code
forget(content: "VS Code")
โ†’ Matches and removes "User prefers VS Code for all editing"

The Math

Code
relevance = base_weight ร— decay ร— frequency_boost

where:
  base_weight  = category-specific (0.3 for one-time, 1.0 for preference)
  decay        = 0.5 ^ (age_days / halflife_days)
  freq_boost   = 1 + log2(mention_count)

A one-time question from 2 months ago: 0.3 ร— 0.5^(60/7) ร— 1.0 = 0.0003 โ†’ effectively zero. Won't surface.

A preference mentioned 8 times, last week: 1.0 ร— 0.5^(7/180) ร— 4.0 = 3.89 โ†’ top of every recall.

Backwards Compatibility

v0.2.0 still accepts the old v0.1.0 tool names (reinforce, prune, stats). They map to the new tools internally. No breaking changes.

License

MIT

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
2
Stargazers on the source repository.
Last commit
5mo ago
Most recent push to the default branch.
Tools exposed
4
Callable tools this server registers over MCP.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet โ€” be the first to share how this listing worked for you.

Frequently Asked Questions about MCP Memory

Memories use exponential decay with category-specific half-lives. One-time questions decay over 7 days, while preferences decay over 180 days.

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Technical Specs & Signals

Category๐Ÿง Knowledge & Memory
PricingFree
More technical detailsExpand โ–พ
TransportSTDIO
RuntimeNode.js
AuthNo auth required
LicenseMIT
Last updatedAug 9, 2026
5/6 checks healthy over the last 32d
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars2
GitHub Star CountTotal stargazers on GitHub representing community popularity (2 stars).
Last commit5mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Mar 29, 2026
53Quality signal: Good ยท 53/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools28/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 22d ago via OSV.dev ยท mcp-memory (npm)

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