Your AI Never Forgets: Introducing Cachly Brain IDE Plugins
We shipped IDE plugins for VS Code and IntelliJ that let you see what your AI assistant has learned โ and how much time and money it saved you by remembering past solutions.
The Problem: AI Assistants Have Amnesia
Every time you start a new chat with Copilot, Claude, or Cursor, it starts from scratch. That bug you fixed last week? It'll research it all over again. The deploy command that finally worked? Forgotten.
This costs you: time re-explaining context every session, tokens paying for the same research twice, and sanity watching your AI make the same mistakes again.
The Solution: A Persistent Brain
Cachly Brain is a persistent memory layer for AI coding assistants. It works through the Model Context Protocol (MCP) โ an open standard that lets AI tools share context.
Here's how it works:
- Your AI learns โ after fixing a bug, it calls
learn_from_attempts("deploy:api", "success", "nohup docker compose up -d --build") - Your AI remembers โ next session, it calls
recall_best_solution("deploy:api")and gets the working command instantly - You see everything โ our IDE plugins show lesson count, recall stats, and token savings in real-time
What the Plugins Show
Status Bar
A persistent ๐ง Brain: 13 lessons widget in your status bar. One glance tells you if your brain is healthy.
Brain Health Panel
Click the widget and see:
| Metric | Value |
|---|---|
| Lessons Learned | 13 |
| Total Recalls | 47 |
| Est. Tokens Saved | ~56,400 |
| Est. Cost Saved | ~$0.17 |
Lesson Viewer
See every lesson your AI has learned:
tr instead of ${var,,} on macOS (recalled 12ร)Each recall saves ~1,200 tokens by reusing a known solution instead of re-researching from scratch.
How Token Savings Work
When your AI starts a session, it calls session_start(). The brain returns relevant lessons for the task at hand. Without the brain, the AI would need to:
- Read multiple files to understand context (~500 tokens)
- Search for similar problems (~300 tokens)
- Try approaches that failed before (~400 tokens)
With the brain, it gets the working solution in one call (~50 tokens). That's ~1,200 tokens saved per recall.
Over time, this compounds. A team of 5 developers with 100+ lessons can save thousands of dollars per month in API costs โ and hours of wasted time.
Get Started
VS Code
Install directly from the VS Code Marketplace โ search for Cachly Brain โ or via the command line:
code --install-extension cachly-dev.cachly-brainIntelliJ
Settings โ Plugins โ Marketplace โ search Cachly Brain โ Install
Configure
- Get your API key from cachly.dev
- Set
cachly.apiKeyandcachly.instanceIdin settings - Done โ the status bar updates automatically
cachly.dev
For everyone building with Claude Code, Cursor, Copilot and Windsurf
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 โ and your team builds on what you figured out.
Servers in the EU ยท one command, fully set up ยท 1 project free
Four ways to install
- Claude Code
/plugin marketplace add cachly-dev/cachly-mcp /plugin install cachly-brain@cachlyThen turn on auto-update once:
/pluginโ Marketplaces โ cachly โ Enable auto-update- Any MCP editor
npx @cachly-dev/mcp-server@latest autopilot- JetBrains
- JetBrains Marketplace: cachly-brain