Linksee Memory MCP server
io.github.michielinksee/linksee-memory·v0.17.0·15 starsHand a project over with the reasons attached. Local-first cross-agent memory MCP + drift detection.
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15 stars87 downloads/wk
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If you have run it, two minutes of your experience saves the next person an afternoon.
Linksee Memory tools
No tool declarations could be read from the package source. They show once the server is installed.
How Linksee Memory compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 85/100
- higher than 73% of 4,460 AI and agents servers
- GitHub stars
- 15
- more than 87% of 2,711 AI and agents servers
- Downloads a week
- 87
- more than 61% of 1,538 AI and agents servers with a package
Release history: 2 versions in the registry since 2026-09-08, latest 2026-10-30, typically one every 52 days.
Install Linksee Memory in Claude Code, Cursor or VS Code
Runs npx -y linksee-memory on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add linksee-memory -- npx -y linksee-memory
What the publisher says
From the Linksee Memory repository's README, as published. We do not edit it. Read it on GitHub
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.
🌐 Landing page: linksee.app (includes non-developer onboarding for Claude Desktop / Cursor / Claude Code / OpenAI Codex / Gemini CLI) 📖 Docs: docs.linksee.app — full reference: the product map & drift, install, and all 11 tools
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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: { violationsignal: [...] } })). The guard then warns — or blocks, if you hardened it — the moment an edit contradicts it, and driftstatus shows every decision that reality has quietly left.
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Linksee Memory: common questions
- Is Linksee Memory MCP server safe?
- Yes, by our scan: it is graded A (85/100). Read the Linksee Memory safety report
- How do I install Linksee Memory?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Linksee Memory need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Linksee Memory maintained?
- The last commit was 56 days ago (2026-09-09). The latest release is v0.17.0.
- What can I use instead of Linksee Memory?
- Servers from other publishers that do the same job: Basic Memory MCP server, Agent Recall MCP server and Agent Comms MCP server. Compare all Linksee Memory alternatives.
- How does Linksee Memory compare with other AI and agents MCP servers?
- safety score 85/100 (higher than 73% of 4,460 AI and agents servers); github stars 15 (more than 87% of 2,711 AI and agents servers); downloads a week 87 (more than 61% of 1,538 AI and agents servers with a package). Full comparison.
Alternatives to Linksee Memory
Same job from other publishers: the closest match first, then the best rated.
- Basic MemoryLocal-first knowledge management with bi-directional LLM sync via Markdown files.not reviewedWidely usedB
- Agent RecallCorrection-first agent memory. Precision KPI tracks if agents heed warnings. 5 layers, local-only.not reviewedEstablishedA
- Agent CommsCross-harness communication mesh for LLM agents — rooms, DMs, presence, and visibility over TCPnot reviewedEstablishedA
- agent-deviceOpen source device layer for AI agents: control mobile, web, TV, and desktop apps over MCPnot reviewedWidely usedA
- HOL GuardLocal-first AI agent security evidence and approval workflows through HOL Guard's stdio MCP server.not reviewedEstablishedA