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ClaudeWave

Local-first agent memory MCP - cross-agent brain with token-saving file diff cache. By Synapse Arrows.

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Last scanned: 9/8/2026
Install in Claude Code / Claude Desktop
Method: NPX · linksee-memory
Claude Code CLI
claude mcp add linksee-memory -- npx -y linksee-memory
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "linksee-memory": {
      "command": "npx",
      "args": ["-y", "linksee-memory"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
Casos de uso

Resumen de MCP Servers

# linksee-memory

> **Claude Code forgets everything when you start a new session. Your successor knows even less.**
>
> **Linksee Memory lets you hand a project over — to your next session, to Cursor or Codex, to the person after you — with the reasons attached.** Record a decision once (`remember({ content, anchor: {} })`) and it comes back *before* the agent acts on it: re-injected on session start and ahead of every Edit / Write / Bash that touches it. Change your mind on the record and it stops nagging; leave it and it keeps the next agent from repeating last week's mistake.
>
> Underneath: **drift detection** across every project you run in parallel — which ones quietly left their goal (🔴), which were checked and hold (🔵), which nobody has looked at yet (⚫). One local SQLite file that **Claude Code, Cursor, Windsurf, OpenAI Codex and Gemini CLI** all read. Nothing leaves your machine.
>
> `npx -y linksee-memory setup` — one command, on in every repo.

[![npm](https://img.shields.io/npm/v/linksee-memory.svg)](https://www.npmjs.com/package/linksee-memory)
[![license](https://img.shields.io/npm/l/linksee-memory.svg)](./LICENSE)
[![mcp-registry](https://img.shields.io/badge/MCP-Official_Registry-6366f1)](https://registry.modelcontextprotocol.io/)
[![glama-score](https://glama.ai/mcp/servers/michielinksee/linksee-memory/badges/score.svg)](https://glama.ai/mcp/servers/michielinksee/linksee-memory)

🌐 **Landing page**: [linksee-site.vercel.app](https://linksee-site.vercel.app) (includes non-developer onboarding for Claude Desktop / Cursor / Claude Code / OpenAI Codex / Gemini CLI)
📖 **Docs**: [docs.linksee.app](https://docs.linksee.app) — full reference: the product map & drift, install, and all 11 tools

<!-- releases: tag-driven, published from CI via npm trusted publishing (OIDC).
     See .github/workflows/publish.yml — no token, no OTP, provenance attached automatically. -->

## Questions this answers

These are the questions people actually type — measured, verbatim (2026-09-04). If yours is here, this is the answer.

**Claude Code forgets everything when I start a new session. How do I make it remember decisions across sessions?**  
Run `npx -y linksee-memory setup`. Every new session opens with `recall()` — a brief of what needs attention, where you are, what's unresolved — and your locked decisions are re-injected before the agent acts. Nothing to re-explain.

**Claude Codeがセッションをまたぐと過去の経緯を忘れてしまいます。記憶を持たせる方法を教えてください。**  
`npx -y linksee-memory setup` の一回で入ります。新しいセッションは `recall()` の brief(注意すべきこと・いまどこか・未解決)から始まり、固定した決定は行動の直前に再注入されます。説明し直す必要はありません。

**What is the best MCP server for persistent memory across AI coding agents?**  
Honest answer: if "remember across sessions" is all you need, a `CLAUDE.md` is enough — we measured it. Linksee is for the three moments it isn't: right before a mistake, when you change your mind, and when you run many projects and need to see which one drifted.

**AIコーディングエージェント用の記憶MCPサーバーでおすすめはありますか?**  
正直に言うと、「セッションを跨いで覚える」だけなら `CLAUDE.md` で足ります(実測しました)。Linksee が要るのは、間違いかけたとき・方針を変えたとき・並行案件のどれが外れたかを知りたいとき、の3場面です。

**I want one shared memory between Claude Code, Cursor, and OpenAI Codex. What tools exist for that?**  
One SQLite file. Claude Code, Cursor, Windsurf, OpenAI Codex and Gemini CLI all read and write the same memory — a decision made in one shows up in the others.

**Claude CodeとCursorとCodexで同じ記憶を共有したいのですが、どうすればいいですか?**  
SQLite ファイル1つを全員で読みます。Claude Code / Cursor / Windsurf / Codex / Gemini CLI のどこで決めた決定も、他のエージェントの行動の直前に出てきます。

**My AI agent keeps re-implementing things we already decided against. How can I detect that a codebase has drifted from past decisions?**  
Declare the decision (`remember({ content, anchor: { violation_signal: [...] } })`). The guard then warns — or blocks, if you hardened it — the moment an edit contradicts it, and `drift_status` shows every decision that reality has quietly left.

**過去に決めた設計方針とコードがずれていないかを検出できるツールはありますか?**  
決定を宣言しておくと(`remember({ content, anchor: {...} })`)、それに反する編集の直前に警告(hardened なら拒否)が出ます。`drift_status` は「宣言と現実がずれた決定」を証拠つきで一覧します。

**Is there a local-first, self-hosted alternative to Mem0 for agent memory?**  
Yes. No account, no API key, no cloud — one local file, MIT licensed. `npx -y linksee-memory setup` and it's on.

**Mem0 vs Zep vs Letta for a coding agent's long-term memory — which should I pick?**  
We installed them and ran one scenario across all of them. Storing and recalling a decision: everyone passes. The difference appears *before a mistake* and *when you change your mind* — Linksee is built for those two moments; the others leave them to you.

**How do I stop Claude Code from repeating the same mistake it made last week?**  
Record it as a caveat (`remember({ content, layer: 'caveat' })`). Caveats are protected from forgetting and come back when the same ground is touched again — and if you anchor it, the guard stops the repeat before it lands.

**開発の意思決定履歴をMCPサーバーで残しておく定番のやり方はありますか?**  
`remember({ content, anchor: {} })` の1回で、記録と強制が同時に入ります。`drift_status` がその台帳で、各決定が いま守られているか(🔵)・ずれているか(🔴)・誰も確かめていないか(⚫)を示します。

## 🪄 Three spells to remember

| Say this | What happens |
|---|---|
| **"use linksee"** | Recalls relevant memories before acting |
| **"linksee this"** | Saves the decision / lesson right now |
| **"what's drifting?"** | Reconciles reality against your locked decisions |

> Make it automatic: add **"Use Linksee Memory"** to your system prompt / `CLAUDE.md`.

## 🗺️ Not just memory — a product map

Memory is the entry point. Tie it to a `map.yaml` of how your product fits together, and the `linksee-memory map` CLI catches drift with file:line evidence:

![linksee-memory-map catching doc/code drift in 30 seconds](demo/where-demo.gif)

**The 30-second demo above:** the README says `--export`. The code doesn't. Linksee catches it — and shows what else a change would touch.

```bash
npx -y linksee-memory map where README.md   # this file belongs to the README node — and what it touches
npx -y linksee-memory map explain readme    # README promises --export; the code doesn't implement it — drift, with evidence
npx -y linksee-memory map affects readme    # changing the README also touches docs, the CLI help, and the npm listing
```

→ see [The Map](#the-map) for the full flow.

## 📣 As featured on

- **Zenn**: [あなたの Claude Code、 実は前回のセッションを完全に忘れている](https://zenn.dev/kanseilink/articles/linksee-memory-claude-code-recall-20260508) — 73 ♡ on Zenn, **165+ users on Hatena Bookmark**, picked up by tech blogs + YouTube shorts (May 2026)
- **Zenn**: [あなたの MCP server、 実は Tools しか使ってない (5 blocks 全実装 / v0.3.0)](https://zenn.dev/kanseilink/articles/linksee-memory-mcp-five-blocks-20260507) — the 1% of MCP servers that implement all 5 blocks
- **Zenn**: [あなたの Claude memory、 実は Claude にしか残らない (5 LLM 横断する方法)](https://zenn.dev/kanseilink/articles/linksee-memory-claude-cross-llm-20260511) — cross-LLM memory pattern (May 12, 2026)
- **Zenn**: [Glama listing で 3 週間止まった話 (5 つの罠と解決策)](https://zenn.dev/michielinksee/articles/linksee-memory-mcp-publish-glama-traps-20260506) — npm + Glama deployment retrospective

> 「Cordex/Cursor/Code/Gemini 全部につなげられるから、 横断的にできてる MCP ってところがこれのすごいところ」
> — [Hatena Bookmark, May 2026](https://b.hatena.ne.jp/entry/s/zenn.dev/kanseilink/articles/linksee-memory-claude-code-recall-20260508) (165+ users)

---

## 🎬 See it in action

**Drift, caught.** Decisions don't survive session boundaries — but their consequences do. Ask any session:

```
You:    What's drifting right now?
Agent:  [calls drift_status]

        28 anchors: ⚪ 1 held · 🔵 27 aligned

        Needs attention:
        ⚪ HELD — "Focus on 4 areas: Recipe layer, agent-native API,
           Japanese market, Agent Insights"
           ↻ Reopens 2026-07-04

        Everything else is aligned — no unaccounted divergence.
```

**The memory underneath.** Drift detection only works because the *why* survives the session boundary:

**Without linksee-memory** — Monday morning, new Claude session:

```
You:    We deployed last week but it crashed. How did we fix it?
Claude: I don't have access to previous sessions. Can you describe
        what happened and walk me through the problem?

[30 minutes of log-spelunking and re-explanation]
```

**With linksee-memory** — Same question, different outcome:

```
You:    We deployed last week but it crashed. How did we fix it?
Claude: Let me check my caveats...

        🧠 [caveat] NextAuth sessions invalidate when JWT_SECRET
           rotates — redeploy all affected projects in parallel.
           (from session 2026-04-13, importance: 0.9)

        Is this the deploy you're asking about? We hit it when
        we rotated secrets mid-flow.

You:    Yes, exactly. Let's not repeat that.
```

That single `caveat` memory is what separates "flat fact storage" from "the agent actually remembers the WHY". linksee-memory stores it across **six explicit layers** so retrieval stays explainable.

---

## 🔍 Drift Detection — "Intent Datadog"

Most teams make decisions, then forget them. The agent from last week decided "we'll use FTS5 instead of vector search" — but this week a new session installs `pgvector` without knowing why that was rejected. **That's drift.** Not a bug. Not malice. Just forgotten context.

Memory tools remember what you did. Nothing notices when you drift from what you decided — that's the layer Linksee Memory adds. Think **"Datadog for product decisions"**: unaccounted divergences surface as drift, intentional evolution (recorded as supersede/fix) stays quiet.

### How it works

1. **Declare** decisions as anchors: `declare_anchor({ kind: "decision", statement: "We use FTS5, not vector search", violation_signal: ["pgvector", "embedding"] })`
2. **The engine detects** when committed code reality diverges from these anchors
3. **State derivation** classifies each anchor:
   - 🔴 **Drift** — reality diverges with no recorded resolution
   - 🟡 **Review** — a soft signal awaits your
agent-memoryai-agentsclaudeclaude-codecodexcursordeveloper-toolslocal-firstmcpmcp-servermemorymodel-context-protocolsqlite

Lo que la gente pregunta sobre linksee-memory

¿Qué es michielinksee/linksee-memory?

+

michielinksee/linksee-memory es mcp servers para el ecosistema de Claude AI. Local-first agent memory MCP - cross-agent brain with token-saving file diff cache. By Synapse Arrows. Tiene 14 estrellas en GitHub y su última actualización registrada es del 2026-09-08.

¿Cómo se instala linksee-memory?

+

Puedes instalar linksee-memory clonando el repositorio (https://github.com/michielinksee/linksee-memory) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar michielinksee/linksee-memory?

+

Nuestro agente de seguridad ha analizado michielinksee/linksee-memory y le ha asignado un Trust Score de 95/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene michielinksee/linksee-memory?

+

michielinksee/linksee-memory es mantenido por michielinksee. La última actividad registrada en GitHub es del 2026-09-08, con 0 issues abiertos.

¿Hay alternativas a linksee-memory?

+

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