cachly — memory for coding agents

Name: cachly — memory for coding agents
Author: cachly-dev

by cachly-devversion 0.10.253i★ 2iRuns on your computer

Registry nameio.github.cachly-dev/mcp-server

How to install

What it does

Memory for coding agents: stores every fix and finds it again when the problem returns. EU-hosted.

Connects Runs on your computer
Account or key No key needed
Category Developer tools

Install

Pick the AI app you use, then copy the settings.

Passed 3/3 checks · Runs on your computer · ✓ Commands checked Nov 14, 2026

First: which AI do you use?

ClaudeWeb · app · phoneChatGPTWebClaude CodeTerminalCursorCode editorVS CodeCode editorOtherOther apps

Pick your app and the steps appear below.

Works with Claude, with some setup first

Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

Let AI install it

Copy this message into a Claude chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.

Please install the MCP server cachly — memory for coding agents for Claude on this computer, in this order: 1) Check Node.js with node -v. If it is missing, tell me to install it from https://nodejs.org/en/download; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "mcpServers": { "cachly-dev": { "command": "npx", "args": [ "-y", "@cachly-dev/mcp-server" ] } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) No key is needed. 5) Do what we agreed, then check that the cachly — memory for coding agents tools really show up.

This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.

1
Install Node.js (if you don’t have it)
Already installed? Check first · Open Terminal, type this command and press Enter
node -v
- A version number such as v26.13.1 = installed, skip this step
- "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
How to open Terminal
Mac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: Open the official download page, pick the LTS version and the click-through installer: .pkg on Mac · .msi on Windows. Double-click and follow it to the end. No curl command needed
Open the Node.js download page ↗
When it’s done, close Terminal, open it again and run the same command. You should see a version number: node -v
Install once; it works for everything that needs Node.js
Done
Open the Claude desktop app’s settings file
SettingsDeveloperEdit Config
Done

Paste these settings and save the file

{
  "mcpServers": {
    "cachly-dev": {
      "command": "npx",
      "args": [
        "-y",
        "@cachly-dev/mcp-server"
      ]
    }
  }
}

Done

Quit Claude and open it again
Done
Try it
Use cachly — memory for coding agents and tell me what you can do for me, then show me one thing
✓ If Claude says it is using cachly — memory for coding agents or shows a cachly — memory for coding agents tool in the answer, you are connected

3 optional setting(s) (works without them)

The command above works without these. Add them only if you want to change something, following the maker’s description.

CACHLY_JWT Optional API key (starts with cky_). Leave it empty and cachly opens a browser sign-in on first use; the free plan needs no card.
CACHLY_BRAIN_INSTANCE_ID Optional Brain id. Leave it empty to use the Brain saved by setup.
CACHLY_NO_TELEMETRY Set to 1 to turn off usage pings.

Descriptions are as written by the maker.

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

ChatGPT cannot connect cachly — memory for coding agents yet

cachly — memory for coding agents runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect cachly — memory for coding agents

Steps for Claude →Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
Steps for Claude Code →Install Node.js on your computer first (one time)
Steps for Cursor →Install Node.js on your computer first (one time)
Steps for VS Code →Install Node.js on your computer first (one time)

B · Others in Developer tools that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Sentry✓ ChatGPT
Compiler Explorer✓ ChatGPT
GitDiagram✓ ChatGPT

Works with Claude Code, with some setup first

Install Node.js on your computer first (one time)

Let AI install it

Copy this message into a Claude Code chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.

Please install the MCP server cachly — memory for coding agents for Claude Code on this computer, in this order: 1) Check Node.js with node -v. If it is missing, tell me to install it from https://nodejs.org/en/download; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): claude mcp add --scope user cachly-dev -- npx -y @cachly-dev/mcp-server 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) No key is needed. 5) Do what we agreed, then check that the cachly — memory for coding agents tools really show up.

This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.

1
Install Node.js (if you don’t have it)
Already installed? Check first · Open Terminal, type this command and press Enter
node -v
- A version number such as v26.13.1 = installed, skip this step
- "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
How to open Terminal
Mac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: Open the official download page, pick the LTS version and the click-through installer: .pkg on Mac · .msi on Windows. Double-click and follow it to the end. No curl command needed
Open the Node.js download page ↗
When it’s done, close Terminal, open it again and run the same command. You should see a version number: node -v
Install once; it works for everything that needs Node.js
Done
Open Terminal
Mac: press Command+Space and type Terminal · Windows: open PowerShell
Done

Paste this command and press Enter

claude mcp add --scope user cachly-dev -- npx -y @cachly-dev/mcp-server

Done

Type /mcp in Claude Code
You should see cachly — memory for coding agents listed as connected
Done
Try it
Use cachly — memory for coding agents and tell me what you can do for me, then show me one thing
✓ If Claude Code says it is using cachly — memory for coding agents or shows a cachly — memory for coding agents tool in the answer, you are connected

3 optional setting(s) (works without them)

The command above works without these. Add them only if you want to change something, following the maker’s description.

CACHLY_JWT Optional API key (starts with cky_). Leave it empty and cachly opens a browser sign-in on first use; the free plan needs no card.
CACHLY_BRAIN_INSTANCE_ID Optional Brain id. Leave it empty to use the Brain saved by setup.
CACHLY_NO_TELEMETRY Set to 1 to turn off usage pings.

Descriptions are as written by the maker.

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor, with some setup first

Install Node.js on your computer first (one time)

Let AI install it

Copy this message into a Cursor chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.

Please install the MCP server cachly — memory for coding agents for Cursor on this computer, in this order: 1) Check Node.js with node -v. If it is missing, tell me to install it from https://nodejs.org/en/download; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "mcpServers": { "cachly-dev": { "command": "npx", "args": [ "-y", "@cachly-dev/mcp-server" ] } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) No key is needed. 5) Do what we agreed, then check that the cachly — memory for coding agents tools really show up.

This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.

1
Install Node.js (if you don’t have it)
Already installed? Check first · Open Terminal, type this command and press Enter
node -v
- A version number such as v26.13.1 = installed, skip this step
- "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
How to open Terminal
Mac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: Open the official download page, pick the LTS version and the click-through installer: .pkg on Mac · .msi on Windows. Double-click and follow it to the end. No curl command needed
Open the Node.js download page ↗
When it’s done, close Terminal, open it again and run the same command. You should see a version number: node -v
Install once; it works for everything that needs Node.js
Done
Click this button to open Cursor
Open in Cursor
Cursor asks you to confirm; click Install
Done
Open the AI chat in Cursor in Agent mode
Done
Try it
Use cachly — memory for coding agents and tell me what you can do for me, then show me one thing
✓ If Cursor says it is using cachly — memory for coding agents or shows a cachly — memory for coding agents tool in the answer, you are connected

3 optional setting(s) (works without them)

The command above works without these. Add them only if you want to change something, following the maker’s description.

CACHLY_JWT Optional API key (starts with cky_). Leave it empty and cachly opens a browser sign-in on first use; the free plan needs no card.
CACHLY_BRAIN_INSTANCE_ID Optional Brain id. Leave it empty to use the Brain saved by setup.
CACHLY_NO_TELEMETRY Set to 1 to turn off usage pings.

Descriptions are as written by the maker.

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

Install Node.js on your computer first (one time)

Let AI install it

Copy this message into a VS Code chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.

Please install the MCP server cachly — memory for coding agents for VS Code on this computer, in this order: 1) Check Node.js with node -v. If it is missing, tell me to install it from https://nodejs.org/en/download; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "servers": { "cachly-dev": { "type": "stdio", "command": "npx", "args": [ "-y", "@cachly-dev/mcp-server" ] } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) No key is needed. 5) Do what we agreed, then check that the cachly — memory for coding agents tools really show up.

This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.

1
Install Node.js (if you don’t have it)
Already installed? Check first · Open Terminal, type this command and press Enter
node -v
- A version number such as v26.13.1 = installed, skip this step
- "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
How to open Terminal
Mac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: Open the official download page, pick the LTS version and the click-through installer: .pkg on Mac · .msi on Windows. Double-click and follow it to the end. No curl command needed
Open the Node.js download page ↗
When it’s done, close Terminal, open it again and run the same command. You should see a version number: node -v
Install once; it works for everything that needs Node.js
Done
Click this button to open VS Code
Open in VS Code
VS Code asks you to confirm; click Install
Done
Open the AI chat in VS Code in Agent mode
Done
Try it
Use cachly — memory for coding agents and tell me what you can do for me, then show me one thing
✓ If VS Code says it is using cachly — memory for coding agents or shows a cachly — memory for coding agents tool in the answer, you are connected

3 optional setting(s) (works without them)

The command above works without these. Add them only if you want to change something, following the maker’s description.

CACHLY_JWT Optional API key (starts with cky_). Leave it empty and cachly opens a browser sign-in on first use; the free plan needs no card.
CACHLY_BRAIN_INSTANCE_ID Optional Brain id. Leave it empty to use the Brain saved by setup.
CACHLY_NO_TELEMETRY Set to 1 to turn off usage pings.

Descriptions are as written by the maker.

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use cachly — memory for coding agents💬 Discussion →

For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add --scope user cachly-dev -- npx -y @cachly-dev/mcp-server

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "cachly-dev": {
      "command": "npx",
      "args": [
        "-y",
        "@cachly-dev/mcp-server"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "cachly-dev": {
      "command": "npx",
      "args": [
        "-y",
        "@cachly-dev/mcp-server"
      ]
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "cachly-dev": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@cachly-dev/mcp-server"
      ]
    }
  }
}

Values you fill in

CACHLY_JWT secret env
Optional API key (starts with cky_). Leave it empty and cachly opens a browser sign-in on first use; the free plan needs no card.
CACHLY_BRAIN_INSTANCE_ID env
Optional Brain id. Leave it empty to use the Brain saved by setup.
CACHLY_NO_TELEMETRY env
Set to 1 to turn off usage pings.

Descriptions are as written by the maker.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

GitHub stars i: 2
Downloads per weeki: 4,941/wk
Licence i: Apache-2.0
Connection: Runs on your computer
Transport: stdio
Latest versioni: 0.10.253
Categoryi: Developer tools
Published to registryi: Nov 14, 2026
Code last changedi: Nov 14, 2026
Maker: cachly-dev
Packages: npm: @cachly-dev/mcp-server
Repo: cachly-dev/cachly-mcp
Website: cachly.dev
Registry status: Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

Claude Goose LM Studio Msty Studio Cherry Studio Cursor VS Code + GitHub Copilot Visual Studio Windsurf (Devin Desktop)Zed Kiro Cline Continue JetBrains AI Assistant Claude Code Codex CLI Gemini CLI OpenCode nodecode Warp LibreChat Raycast

All apps, with pros and cons →

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 15, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account cachly-dev, which owns the repo
✓ Pass
Still maintained
Code last changed yesterday
✓ Pass
Has a licence
Uses Apache-2.0
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Published vulnerabilities (OSV.dev)

No entries on OSV.dev for @cachly-dev/mcp-server@0.10.253

Checks only this package version, not every dependency · checked Nov 15, 2026

What we check → · JSON

Makers: ask for a re-check or report wrong info

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

User reviews

No reviews yet

Compared with others in Developer toolsi

More stars than 77% of the other 5909 servers in this category
Published to the registry more recently than 96% of the other 5909 servers in this category
Basic checks equal to or better than 100% of the other 5909 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is cachly — memory for coding agents safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed yesterday, and the latest version (0.10.253) reached the registry yesterday.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitDiagram, Appllama, Cloudflare MCP, Omnara, Repowise

Similar alternatives

Same category, other makers, commands already checked. Official ones first, then by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

GitDiagram

Architecture diagrams, explanations and Mermaid source for public GitHub repositories.

by ahmedkhaleel2004Widely used★ 18.9KUpdated 2 months ago

Runs in the cloud✓ service owner · gitdiagram.comTried by the PopNx team

How to connect

Appllama

Study screens, flows and paywalls from top-earning iOS apps, then build from what wins.

by AppllamaWidely used★ 5.2KUpdated 3 months ago

Runs in the cloud✓ service owner · appllama.io

How to connect

Cloudflare MCP

Cloudflare MCP servers

by cloudflareWidely used★ 4.5KUpdated 14 months ago

Runs in the cloud✓ service owner · mcp.cloudflare.comTried by the PopNx team

How to connect

Omnara

Deploy durable AI agents with Omnara, an open-source managed-agent platform.

by omnara-aiWidely used★ 3.4KUpdated 2 months ago

Runs in the cloud✓ service owner · omnara.com

How to connect

Repowise

Codebase intelligence for AI coding agents: graph, git history, docs, decisions, code health.

by repowise-devWidely used↓ 6.5K/wk★ 8.1K Stars for the whole repoUpdated 2 days ago

Computer or cloud✓ service owner · repowise.dev

Install

GitDiagram — Runs in the cloud, nothing to install · No key needed
Appllama — Runs in the cloud, nothing to install · No key needed
Cloudflare MCP — Runs in the cloud, nothing to install · No key needed · In Claude’s directory
Omnara — Runs in the cloud, nothing to install · No key needed
Repowise — Cloud or install on your computer · No key needed

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

cachly — experience for coding agents (MCP server)

Solve it once. From then on, your AI knows.

Every fix, every decision and every dead end becomes experience your AI uses at

the right moment. You build faster, and your team builds on what you figured out.

@cachly-dev/mcp-server connects cachly to Claude Code, Cursor, GitHub Copilot, Windsurf, Cline, Continue.dev, Zed, Codex CLI and Gemini CLI over MCP. It offers 124 MCP tools. Your editor lists 27 entries by default and reaches the rest through one of them, cachly_tool (details under MCP Tools below). Your AI stores a lesson after a fix, and finds it again when the same problem returns. Your Brain (the store of your lessons) lives on EU servers.

Start without an account

Claude Code

/plugin marketplace add cachly-dev/cachly-mcp

/plugin install cachly-brain@cachly

There is no JSON to write, no path to set and no key to copy. Without a key, cachly creates a test Brain on EU servers when the session starts (the plugin hook does it; the first tool call does it if the hook did not). The test Brain has 14 days of the Solo tier. After that it runs on the free tier with the same key.

Check it with claude mcp list. You should see plugin:cachly-brain:cachly … ✔ Connected. claude plugin details shows MCP servers (0) even when the server runs, because it does not count them.

The plugin adds three Claude Code hooks:

Hook	What it does
`SessionStart`	Gives your AI a short briefing: the 5 most-reused lessons (on a new Brain: starter tips)
`UserPromptSubmit`	Puts the lessons that match your prompt next to it
`Stop`	Saves a lesson when the AI's last message clearly reports a fix. It skips messages that say something failed or is unclear. It tells you nothing when it saves.

Turn on auto-update once: /plugin → Marketplaces → cachly → Enable auto-update. Claude Code leaves it off for marketplaces outside Anthropic's own. The MCP server updates itself on every start, but the hooks come with the plugin and update only with it. If an update is waiting, the first session_start of a session says so in one line.

Keep your test Brain

npx @cachly-dev/mcp-server@latest claim

You sign in once in the browser. The test Brain then moves into your account with all its lessons. Every test key is revoked, and you get a new key that is stored where your editor and hooks look for it. The Brain restarts once, which takes about 20 seconds. If you already have a free Brain, the one-Brain limit of the free tier applies and the move is refused with a message.

Cursor, Windsurf, VS Code, Cline, Continue.dev, Zed

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

autopilot finds the editors you use and writes the MCP config for each. It also writes the rule file each editor reads in every chat (CLAUDE.md, AGENTS.md, .cursor/rules/cachly.mdc, .github/copilot-instructions.md, .windsurfrules, .clinerules; GEMINI.md, .junie/guidelines.md and .continue/rules/cachly.md where you use Gemini CLI, Junie or Continue), which tells your AI to check its memory before a task. It adds a git hook that learns from your commits and fills your Brain from your git history. You sign in once in the browser (a device code, no password, no credit card), so the Brain belongs to your own account from the start. Restart your editor afterwards.

You can also add the server by hand (see Manual Setup). Without a key, the first tool call creates the same test Brain as in Claude Code. Without a rule file, Claude Code still starts each task with smart_recall, because the server's instructions ask for it. Gemini CLI also passes them on. Some editors do not (Cline, Continue and Zed, for example); there, the rule file from autopilot is what makes your AI use its memory.

Already inside Claude, Cursor or Copilot? Paste this to your AI:

`

Set up cachly for this project. Run: npx @cachly-dev/mcp-server@latest autopilot

Follow the browser sign-in, then restart the editor.

`

VS Code extension

Install [cachly Brain](https://marketplace.visualstudio.com/items?itemName=cachly-dev.cachly-brain). It creates your Brain on first start, with no account form.

JetBrains plugin

Install [Cachly Brain](https://plugins.jetbrains.com/plugin/32059-cachly-brain) from the JetBrains Marketplace (IntelliJ IDEA, PyCharm, GoLand, WebStorm, Rider). The status bar, the Brain health and the lessons view live in the IDE. The source is at cachly-dev/cachly-intellij. The JetBrains plugin guide shows how Claude Code, Junie and JetBrains AI Assistant get the Brain over MCP.

MCP Registry

The server is listed in the official [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers?search=cachly) as io.github.cachly-dev/mcp-server. Clients that browse the registry find it by name. The entry points at this npm package.

Guides

Guide	What you find there
Claude Code hooks: which event to use when	`SessionStart`, `UserPromptSubmit`, `PreToolUse`, `Stop` and more, sorted by when they fire. What each one can block, add and change.
A UserPromptSubmit hook for Claude Code	The stdin JSON, `additionalContext`, a working Node script and five traps to avoid.
The same hooks in VS Code and Copilot CLI, Codex CLI and Gemini CLI	Which event takes context in each editor, and the exact file `setup` writes there.
Comparisons: Supermemory, Zep, claude-mem, Basic Memory, mem0, Letta	Side by side, each row with its source and a visible date, including when the other product fits better.
EU-hosted MCP server: what leaves your machine	Where data lands: storage in Germany, embeddings in the EU, the network edge, and a checklist.
Lessons learned for coding agents	How to write a lesson your agent finds again: symptom, decisive fact first, what failed, files, a check. With examples and a `LESSONS.md`.
JetBrains plugin guide	What the plugin does, and how Claude Code, Junie and JetBrains AI Assistant use the Brain.
Repo X-ray	Enter a public GitHub repo. In a few seconds you see how many problems its team has solved, and which ones more than once.

How it works

A fix, a decision or a dead end is stored as a lesson: topic, what worked, what failed, severity, file paths, commands and author.
At the start of a session, your AI receives a briefing with the last session, open failures and recent lessons.
When you ask for something, smart_recall looks up the lessons that match. It combines keyword search (BM25), meaning-based search and the causal graph, in 11 languages.
When an error appears, causal_trace walks from the symptom to the cause and to the fix that worked.
Before a deploy, brain_predict lists failure patterns from past incidents.
A git hook and the CI templates add lessons from commits and from red-to-green runs.
Lessons are shared in the team. Each one carries the name of whoever learned it.

To see what your AI would know before you install anything, run npx @cachly-dev/mcp-server@latest demo in a project folder. It reads your git history and prints your fixes, patterns and decisions. Nothing leaves your machine.

Our agreement with you. You can leave 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. Read what leaves your machine before you decide.

MCP Tools (124 total, 27 listed by default)

Your editor sees 27 entries by default: the daily tools (26 of them) and one dispatcher, cachly_tool. This is on purpose. The full list of 124 costs about 28,000 tokens in every request. The 27 listed entries cost about 8,000. All other tools (98 of them) run through the dispatcher:

cachly_tool(tool: "team_roster")                  run any of them by name

cachly_tool(tool: "team_roster", describe: true) get its schema first

Nothing is unreachable. The server dispatches by name, so team_roster called directly still works. Set CACHLY_ALLE_WERKZEUGE=1 to list all 124. Set CACHLY_PROFILE=lean to list 8 plus cachly_tool, or CACHLY_PROFILE=recall to list the 3 read-only tools.

Session and lessons (most used)

Tool	What it does
`session_start`	Full briefing: last session, open failures, recent lessons, Brain health
`session_end`	Save what you built; extract lessons from the summary and the git log
`learn_from_attempts`	Store a structured lesson after any fix, deploy or discovery (with `author`, `visibility`)
`recall_best_solution`	The known fix for a topic, with its success and failure history
`smart_recall`	Hybrid BM25 + semantic + causal-graph search, 11 languages, quality-reranked
`remember_context`	Keep architecture findings, decisions and file summaries
`compact_recover`	Recover your context after you hit the context-window limit

Team Brain and org knowledge graph

Tool	What it does
`team_learn` / `team_recall`	Share lessons across the team with author attribution
`team_confirm`	A reviewer confirms a lesson (senior or peer); confirmed lessons rank higher in recall
`team_assign_role` / `team_roster` / `team_whoami`	Roles (admin, reviewer, contributor, viewer), enforced once an admin is set
`team_audit`	Admin-only governance trail: every role change and lesson confirmation
`brain_who_knows`	Find your team's experts on a topic, ranked from authorship
`brain_file_map`	Experts and lessons per file, before you touch it
`team_expertise_map`	The team's skills matrix in one table
`brain_collab_pairs`	Who works with whom, with bus-factor alerts
`brain_portability`	Config snippets for 7 MCP clients, so the same Brain serves any model
`skill_gaps`	Knowledge blind spots: unresolved failures, missing attribution
`brain_coverage`	A 0–100 health score for the knowledge of your codebase
`madc_deliberate`	Specialist AI agents vote to resolve contradictory lessons
`memory_crystalize`	Distill all lessons into a Crystal for instant team context
`team_crystallize`	A Team Crystal: fixes that 2 or more teammates reached independently

Causal intelligence

Tool	What it does
`causal_trace`	Root-cause analysis through the causal knowledge graph
`brain_predict` / `brain_predict_failures`	Predict likely failures before they happen

| `brain_from_git` | Fill people, file

Only the beginning is shown; read the rest in the repo

cachly — memory for coding agents

What it does

Install

Install Node.js (if you don’t have it)

Open the Claude desktop app’s settings file

Paste these settings and save the file

Quit Claude and open it again

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What you can do instead

Install Node.js (if you don’t have it)

Open Terminal

Paste this command and press Enter

Type /mcp in Claude Code

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Install Node.js (if you don’t have it)

Click this button to open Cursor

Open the AI chat in Cursor in Agent mode

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Install Node.js (if you don’t have it)

Click this button to open VS Code

Open the AI chat in VS Code in Agent mode

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GitDiagram

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README from the maker

cachly — experience for coding agents (MCP server)

Start without an account

Claude Code

Keep your test Brain

Cursor, Windsurf, VS Code, Cline, Continue.dev, Zed

VS Code extension

JetBrains plugin

MCP Registry

Guides

How it works

MCP Tools (124 total, 27 listed by default)

Session and lessons (most used)

Team Brain and org knowledge graph

Causal intelligence