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remem-mcp — Local-first MCP Memory + CodeGraph + Wiki

remem-mcp — Local-first MCP Memory + CodeGraph + Wiki

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@tinhien113TypeScriptMITUpdated 1w ago

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

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

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 — memory works automatically.

npx remem-mcp status    # verify: hooks ✓, DB ✓, CodeGraph ✓

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 — the skill tells it to.


How it works

AI Agent (Claude Code / Devin / Cursor / Codex)
    │
    ├── MCP tools ──▶ recall, capture, codegraph_*, wiki_*, feedback
    │
    └── Hooks ──▶ SessionStart, UserPromptSubmit, PreToolUse,
                  PostToolUse, Stop, PostCompact
                        │
                        ▼
              SQLite (memory.db)

  L0 captures → L1 atoms → L2 scenarios → 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 — rule-based extraction + keyword grouping.


CodeGraph

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

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 → same-module → unique-name → suffix → 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 — cloudNo — 200-line capYes
Learns from errorsYes — autoNoNoNo
SearchHybrid BM25 + vector + entitiesVector onlyNoVector + graph
Memory linksHebbian co-retrievalNoNoGraph
Decay/forgetYesNoNoNo
CodeGraphYes — 6-strategy call resolutionNoNoNo
Token offloadYes — Mermaid canvasNoNoNo
Setup1 commandAPI key + cloudBuilt-inBuild from source
CostFree$19–249/moFreeFree

Per-agent install

Claude Code
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:

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

Add to ~/.codex/config.toml:

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

Then run npx remem-mcp install-hooks.


Useful commands

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 — 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 sharingnpx 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 — Drop a .remem.toml in any project root:

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

Benchmark

Benchmarkremem-mcpMem0Without memory
AMB (L1/L2/L3)100/100/100
LoCoMo (long conversation QA)9592.5
PersonaMem (personalization)10048
LongMemEval (ICLR 2025)9694.4
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.