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

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 ZCode, Claude Code, Cursor, Devin, Codex. Registers MCP server + hooks.

Quick start

1. Restart your agent (quit and reopen)
2. Ask: "what do you remember?"
3. If agent recalls past context = memory working

In your agent, you can say:

• "index the code in src" → CodeGraph indexes symbols
• "find who calls function X" → caller analysis
• "what do you remember?" → recall past context

What happens automatically

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 (ZCode / Claude Code / Devin / Cursor / Codex)    │    ├── MCP tools ──▶ recall, capture, codegraph_*, wiki_*, feedback    │    └── Hooks ──▶ SessionStart, UserPromptSubmit,                  PostToolUse, PostCompaction, SessionEnd                        │                        ▼              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 directorynpx remem-mcp search-code --query "parseTar"  # find symbolsnpx 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.

Why it's different

Useful commands

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

Configuration

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

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

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

Benchmark

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.