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  1. Home
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  3. Remem Mcp β€” Local First MCP Memory + CodeGraph + Wiki
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Remem Mcp β€” Local First MCP Memory + CodeGraph + Wiki

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View RepositoryVisit Website

Local-first memory for AI coding agents. Memory + CodeGraph + Wiki in one SQLite file.

Quick Install

Automated & IDE Setup

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

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

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

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ—„οΈ More in Databases

Documentation Overview

remem-mcp

npm version GitHub stars License: MIT Benchmark

Your coding agent stops repeating the same mistakes.

Local-first memory that survives context compaction. Learns from every error, injects fixes before the next attempt, and syncs to your git repo so your whole team shares it.

No API key. No cloud. No database server. Just a SQLite file.


Install

Terminal
npx remem-mcp setup

Auto-detects Claude Code, Cursor, Devin, Codex. Registers MCP server + hooks. Restart your agent.

That's it. Use your agent normally β€” memory works automatically.

Terminal
npx remem-mcp status    # verify: hooks βœ“, DB βœ“, CodeGraph βœ“

What happens automatically

WhenWhat
Session startPast errors, decisions, and persona injected into agent context
Each promptMatching memory injected (you'll see [remem-mcp] at the top)
Tool callsVerbose output offloaded to refs, Mermaid canvas injected (92% token cut)
Session endWorker auto-extracts facts, consolidates summaries, updates persona

You don't run any commands. The agent calls recall() before answering and capture() after work β€” the skill tells it to.


How it works

Code
AI Agent (Claude Code / Devin / Cursor / Codex)
    β”‚
    β”œβ”€β”€ MCP tools ──▢ recall, capture, codegraph_*, wiki_*, feedback
    β”‚
    └── Hooks ──▢ SessionStart, UserPromptSubmit, PreToolUse,
                  PostToolUse, Stop, PostCompact
                        β”‚
                        β–Ό
              SQLite (memory.db)

  L0 captures β†’ L1 atoms β†’ L2 scenarios β†’ L3 persona
  (raw)        (facts)      (summaries)    (preferences)

  CodeGraph: symbols + calls + imports (tree-sitter, 9 languages)
  Memory links: Hebbian co-retrieval (frequently co-retrieved = stronger)

No LLM API key needed β€” rule-based extraction + keyword grouping.


CodeGraph

Structural code indexing via tree-sitter. The agent uses codegraph_search instead of grep to find symbols.

Terminal
npx remem-mcp index --path src              # index a directory
npx remem-mcp search-code --query "parseTar"  # find symbols
npx remem-mcp callers <id>                  # who calls this?
npx remem-mcp impact <id>                   # blast radius

9 languages: TS/JS/Python/Go/Rust/Java/C/C++/C#. 6-strategy call resolution (import-map β†’ same-module β†’ unique-name β†’ suffix β†’ fuzzy). Stdlib calls filtered out.

RepoFilesSymbolsCallsTime
remem-mcp793016,4563s
AZR Go4553,41741,603111s
Orca TS3,0007,63278,981705s

Why it's different

remem-mcpMem0Claude MEMORY.mdMneme
Survives compactionYesYes β€” cloudNo β€” 200-line capYes
Learns from errorsYes β€” autoNoNoNo
SearchHybrid BM25 + vector + entitiesVector onlyNoVector + graph
Memory linksHebbian co-retrievalNoNoGraph
Decay/forgetYesNoNoNo
CodeGraphYes β€” 6-strategy call resolutionNoNoNo
Token offloadYes β€” Mermaid canvasNoNoNo
Setup1 commandAPI key + cloudBuilt-inBuild from source
CostFree$19–249/moFreeFree

Per-agent install

Claude Code
Terminal
claude mcp add remem-mcp --scope user -- npx -y remem-mcp
npx remem-mcp install-hooks
Cursor

Install in Cursor

Or add to ~/.cursor/mcp.json:

config.json
{
  "mcpServers": {
    "remem-mcp": { "command": "npx", "args": ["-y", "remem-mcp"] }
  }
}
Devin CLI
bash
devin mcp add remem-mcp --scope user -- npx -y remem-mcp
npx remem-mcp install-hooks
Codex CLI

Add to ~/.codex/config.toml:

toml
[mcp_servers.remem-mcp]
command = "npx"
args = ["-y", "remem-mcp"]

Then run npx remem-mcp install-hooks.


Useful commands

Terminal
npx remem-mcp status           # health + hooks + DB + CodeGraph
npx remem-mcp viewer           # web UI at localhost:7331
npx remem-mcp errors           # error dashboard
npx remem-mcp recent [N]       # recent captures
npx remem-mcp help all         # full list of 40+ subcommands

Configuration

All settings have defaults. Config file is optional: ~/.config/remem-mcp/config.json.

SettingEnv varDefault
DB pathREMEM_DB_PATH~/.local/share/remem-mcp/memory.db
Cross-project memoryREMEM_GLOBAL_SESSION_KEY(unset)
Unified flow (F1+F2+F3)REMEM_FLOW(unset, set to full)
Suppress hook feedbackREMEM_QUIET(unset, set to 1)

Global memory policy β€” set REMEM_GLOBAL_SESSION_KEY to read cross-project memory automatically. Captures stay project-local unless the user explicitly asks to save globally; then use session_key: "global". Do not auto-classify ordinary captures into global.

Team sharing β€” npx remem-mcp sync-export writes .remem-mcp/memory-export.jsonl. Commit it to git. Team members get the same memory on git pull.

Per-repo capture exclusions β€” Drop a .remem.toml in any project root:

toml
[capture]
ignore_paths = ["node_modules", "dist", ".git", "*.min.js"]

Benchmark

Benchmarkremem-mcpMem0Without memory
AMB (L1/L2/L3)100/100/100β€”β€”
LoCoMo (long conversation QA)9592.5β€”
PersonaMem (personalization)100β€”48
LongMemEval (ICLR 2025)9694.4β€”
bash
bash scripts/bench-all.sh --quick   # AMB only (~2 min)

Architecture

See ARCHITECTURE.md for full system diagrams, schema, and performance details.

Credits

Core based on TencentDB Agent Memory (MIT, Tencent 2026). CodeGraph call resolution adapted from Codebase-Memory (arXiv:2603.27277). Recall boost adapted from ai-memory by Akita On Rails. Contextual retrieval from Anthropic (2024).

License

MIT. See LICENSE.

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

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Frequently Asked Questions about Remem Mcp β€” Local First MCP Memory + CodeGraph + Wiki

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "remem-mcp-local-first-mcp-memory-codegraph-wiki": { "command": "npx", "args": ["-y", "remem-mcp β€” Local-first MCP Memory + CodeGraph + Wiki"] } }

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Technical Specs & Signals

CategoryπŸ—„οΈDatabases
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
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Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

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

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” 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.

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