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ClaudeWave

Persistent memory for Claude Code, Cursor, Copilot & Windsurf — your AI stops re-reading your codebase every morning. 120+ MCP tools, semantic search, shared Team Brain. Free tier, EU-hosted.

MCP ServersRegistry oficial2 estrellas1 forks● TypeScriptApache-2.0Actualizado today
ClaudeWave Trust Score
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  • ✓Open-source license (Apache-2.0)
  • ✓Actively maintained (<30d)
  • ✓Clear description
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  • ✓Documented (README)
Last scanned: 10/11/2026
Install in Claude Code / Claude Desktop
Method: NPX · @cachly-dev/mcp-server
Claude Code CLI
claude mcp add cachly-mcp -- npx -y @cachly-dev/mcp-server
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "cachly-mcp": {
      "command": "npx",
      "args": ["-y", "@cachly-dev/mcp-server"]
    }
  }
}
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

# 🧠 cachly AI Brain — MCP Server

> ### ChatGPT and Claude remember your conversations.
> ### cachly remembers your codebase.
>
> The bug you fixed. Why you chose Postgres. The deploy step that always breaks — and
> everything your teammates learned. **It stays when someone leaves the team, and it
> comes along when you switch assistants.**

<p align="center">
  <a href="https://www.npmjs.com/package/@cachly-dev/mcp-server">
    <img src="https://img.shields.io/npm/v/@cachly-dev/mcp-server?color=violet&logo=npm" alt="npm version" />
  </a>
  &nbsp;
  <a href="https://www.npmjs.com/package/@cachly-dev/mcp-server">
    <img src="https://img.shields.io/npm/dw/@cachly-dev/mcp-server?color=blue&label=weekly%20installs" alt="npm downloads" />
  </a>
  &nbsp;
  <a href="https://cachly.dev">
    <img src="https://img.shields.io/badge/Free%20tier-€0%2Fmo-brightgreen" alt="Free tier" />
  </a>
  &nbsp;
  <a href="https://cachly.dev/legal">
    <img src="https://img.shields.io/badge/GDPR-EU%20servers-green" alt="GDPR: EU servers" />
  </a>
  &nbsp;
  <img src="https://img.shields.io/badge/124_MCP_tools-violet" alt="124 MCP tools" />
  &nbsp;
  <img src="https://img.shields.io/badge/License-Apache--2.0-yellow" alt="License: Apache-2.0" />
</p>

<p align="center">
  <strong><a href="https://cachly.dev/sign-up">⚡ Get your free Brain → cachly.dev</a></strong><br/>
  <sub>Free forever · no credit card · 1-command setup · German servers · GDPR</sub>
</p>

---

## The story you already live every day

You are a good engineer. You want to **ship**, not babysit a forgetful assistant.

But every session starts at zero. Your AI doesn't remember the race condition you
chased for three hours on Tuesday. It doesn't know your deploy gotchas. It can't tell
you that **Carol already solved this exact bug in March** — because Carol's knowledge
lives in Carol's head, and yours in yours.

So you re-explain. You re-research. Your team makes the same mistake in five different
branches. And when someone leaves, their hard-won knowledge walks out the door with them.

> **The villain isn't your AI. It's amnesia.** Context death between sessions, and
> knowledge silos between people. The average developer loses **~45 minutes a day**
> re-establishing context that should already exist.

You don't need a smarter model. **You need a memory that doesn't reset — and one that
your whole team shares.**

---

## Meet your guide

cachly is the brain layer that sits under whatever AI you already use. We've watched
hundreds of teams lose the same knowledge the same way, and we built the fix:

- **It learns automatically** — from every commit, every fix, every session. No extra calls.
- **It arrives pre-briefed** — your AI opens each session already knowing your stack.
- **It's shared** — one engineer's solved bug becomes the whole team's reflex.
- **It's provable** — **78.6 % Precision@1** on an external labelled corpus, with a CI gate
  that fails the build below 71.0 % ([see the benchmark](./BENCH.md)). A claim without a
  number is marketing; a number without a gate is a screenshot.
- **It's neutral** — speaks [MCP](https://modelcontextprotocol.io), so it works with
  Claude, Cursor, Copilot, Windsurf, Cline, Zed. Switch models anytime — **your brain stays.**

We're not the hero of this story. **You are.** cachly is the thing that makes you the
engineer whose AI never forgets and whose team compounds knowledge instead of losing it.

---

## Taste it first — no account, no risk

```bash
npx @cachly-dev/mcp-server@latest demo
```

Run it in any project folder. It reads YOUR git history and shows what your AI *would*
know — your bugs fixed, your patterns, your past decisions. Nothing leaves your machine.

```
┌─────────────────────────────────────────────────────────────┐
│  Brain Preview — What your AI would know                    │
├─────────────────────────────────────────────────────────────┤
│  Commits: 847   Lessons: 634   Contributors: 7              │
│  Date range: 2024-01-12 → 2026-05-14                        │
├─────────────────────────────────────────────────────────────┤
│  Security fixes your AI would know:                         │
│  • fix(auth): JWT expiry check before signature validation  │
│  • security: sanitize webhook payload before JSON.parse     │
├─────────────────────────────────────────────────────────────┤
│  Bug fixes your AI would remember:                          │
│  • fix: Redis pub/sub race condition under high concurrency │
│  • fix: k8s readinessProbe threshold too low for cold start │
│  • fix: Stripe idempotency_key missing on retry path        │
├─────────────────────────────────────────────────────────────┤
│  With cachly, your AI arrives pre-briefed every session.    │
└─────────────────────────────────────────────────────────────┘
```

Like what you see? Make it permanent in the next step.

---

## Brain-first — Semantic Cache as Proof-Point

cachly is not a semantic cache with a brain bolt-on. The Brain is the product. The
Semantic Cache is the **proof-point** — it shows ROI in dollars from day one, with zero
trust required. It opens the door. The Brain is why teams never leave.

| | Wedge — Land | Moat — Retain |
|---|---|---|
| **Feature** | Semantic Cache | AI Brain (Lessons, Recall, Team-Sharing) |
| **Value** | Measurable cost savings from day one | Compounding team intelligence |
| **Metric** | Cache-hit rate, $/month saved | Lessons retained, WoW trend, recall quality |
| **Analogy** | Datadog APM (surfaces the problem) | Stripe (becomes critical infrastructure) |

**The org-level advantage:** Brain lessons and cache hits are shared across the whole
team — one person's fix becomes every agent's reflex. Anthropic Projects Memory is
per-user and model-locked. cachly is team-wide and model-neutral. That's the structural
moat no first-party tool can build.

---

## Setup — pick the shortest path for your editor

### Claude Code — two lines

```
/plugin marketplace add cachly-dev/cachly-mcp
/plugin install cachly-brain@cachly
```

Claude Code declares the MCP server for you; there is no JSON to write and no
path to set. Paste your brain ID once with `/plugin configure cachly-brain@cachly`
and you are done. (From v0.10.139 the server sets itself up on first use —
an anonymous 14-day trial brain, nothing to copy.)

Check it worked with `claude mcp list` — you should see
`plugin:cachly-brain:cachly … ✔ Connected`. Note that `claude plugin details`
reports `MCP servers (0)` even when the server is running; it does not count
them.

### VS Code — one click

Install the **[cachly Brain](https://marketplace.visualstudio.com/items?itemName=cachly-dev.cachly-brain)**
extension. It signs you in silently and creates your brain — no account form.

### JetBrains — one click

Install **[Cachly Brain](https://plugins.jetbrains.com/plugin/32059-cachly-brain)**
from the JetBrains Marketplace (IntelliJ, PyCharm, GoLand, WebStorm, Rider).
Status bar, brain health and the lessons view live in the IDE; the source is
at [cachly-dev/cachly-intellij](https://github.com/cachly-dev/cachly-intellij).
The `npx … autopilot` path below also configures JetBrains AI Assistant.

### MCP Registry — for any client that reads it

The server is listed in the official **[MCP Registry](https://registry.modelcontextprotocol.io/v0/servers?search=cachly)**
as `io.github.cachly-dev/mcp-server`, every release, same day. Clients that
browse the registry (Claude Desktop, Goose, VS Code's MCP gallery and others)
find it there by name; the entry points at this npm package.

### Anything else — one command

```bash
npx @cachly-dev/mcp-server@latest autopilot
```

Autopilot does everything in a single command: it auto-detects every AI editor you use,
writes the MCP config, signs you in via browser device-flow (one click, no password, no
credit card), and bootstraps your brain from git history. Restart your editor and your AI
arrives pre-briefed — every session, automatically.

> **Already inside Claude / Cursor / Copilot?** Paste this to your AI and it configures everything itself:
> ```
> Set up cachly for this project. Run: npx @cachly-dev/mcp-server@latest autopilot
> It gives my AI persistent memory across sessions. Follow the browser login
> (one click, no credit card), then restart the editor.
> ```

**Our agreement with you:** Free forever tier. GDPR, EU servers. No model lock-in —
leave anytime and take your data: `npx @cachly-dev/mcp-server@latest export` writes
every lesson to `lessons.md` (to read) and `lessons.jsonl` (to reuse). Code excerpts
are stored only if you call `index_project` yourself — and only on your own EU
instance.

---

## What changes the moment you turn it on

| The moment | Without cachly | With cachly |
|-----------|----------------|-------------|
| Session start | *"What's your architecture again?"* | *"Ready. 23 lessons. Last session: deployed API."* |
| A known bug returns | Re-researches from scratch | *"You fixed this March 12 — here's the exact command."* |
| You open an unfamiliar file | Cold start | *"Carol fixed 3 bugs here. Related: `fix:stripe-retry`."* |
| A teammate leaves | Their knowledge leaves too | Their lessons stay, attributed, searchable |
| New hire, day one | Weeks to onboard | `setup` → full team context instantly |
| Pre-deploy | Hope nothing breaks | Brain predicts failure risks from past patterns |

This is the transformation: from the engineer who **re-explains everything every
morning** → to the team whose **collective brain never forgets and gets sharper with
every commit.**

---

## cachly vs. Claude's built-in memory

Anthropic now ships memory for Claude — and it's genuinely good for **one developer,
using only Claude, alone.** That's not the game we're playing. Here's the honest map:

| | **cachly** | **Claude built-in memory** |
|--|------------|----------------------------|
| Works across **teams** | ✅ one engineer's fix → everyone's reflex | ❌ per-user / per-agent only |
| Works across **mo
aiai-agentsanthropicchatgptclaudeknowledge-basellmmcp-servicemcp-toolsmemorymodel-context-protocolragvector-searchwindsurf

Lo que la gente pregunta sobre cachly-mcp

¿Qué es cachly-dev/cachly-mcp?

+

cachly-dev/cachly-mcp es mcp servers para el ecosistema de Claude AI. Persistent memory for Claude Code, Cursor, Copilot & Windsurf — your AI stops re-reading your codebase every morning. 120+ MCP tools, semantic search, shared Team Brain. Free tier, EU-hosted. Tiene 2 estrellas en GitHub y su última actualización registrada es del 2026-10-11.

¿Cómo se instala cachly-mcp?

+

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

¿Es seguro usar cachly-dev/cachly-mcp?

+

Nuestro agente de seguridad ha analizado cachly-dev/cachly-mcp 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 cachly-dev/cachly-mcp?

+

cachly-dev/cachly-mcp es mantenido por cachly-dev. La última actividad registrada en GitHub es del 2026-10-11, con 4 issues abiertos.

¿Hay alternativas a cachly-mcp?

+

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