@akashkobal/contextmemory
v0.5.1
Published
Persistent AI coding context memory for developers and teams. Tracks architecture decisions and restores context across AI coding sessions.
Maintainers
Readme
ContextMemory 🧠
Persistent AI coding context memory for developers and teams.
Git tracks your code history. ContextMemory tracks your intent history.
Never re-explain your architecture, decisions, or progress to AI assistants again.
🚀 Installation
Install globally from npm:
npm install -g @akashkobal/contextmemoryVerify installation:
contextmemory --help⚡ Quick Start
Initialize inside your project:
contextmemory initSave your working context:
contextmemory saveQuick save:
contextmemory save "Implemented multi-model execution"Resume your context:
contextmemory resumeThis copies a formatted prompt to your clipboard.
Paste it into ChatGPT, Cursor, Claude, or any AI coding tool.
🧠 How It Works
ContextMemory creates:
.contextmemory/
├── context.json
├── history/
│ ├── entry-1.json
│ ├── entry-2.jsonEach entry captures:
- Task
- Goal
- Approaches
- Decisions
- Current State
- Next Steps
📦 Commands
Core
contextmemory init
contextmemory save
contextmemory resume
contextmemory log
contextmemory diffAutomation
contextmemory watch
contextmemory hook install
contextmemory handoff @username🔌 MCP Integration (Optional)
Add to your MCP configuration:
{
"mcpServers": {
"contextmemory": {
"command": "npx",
"args": ["-y", "@akashkobal/contextmemory", "mcp"]
}
}
}🏗 Works With
- Spring Boot
- React
- Node.js
- Python
- Microservices
- Monorepos
AI Tools:
- ChatGPT
- Cursor
- Claude
- Copilot
- Windsurf
📄 License
MIT
👨💻 Author
Akash Kobal
GitHub: https://github.com/AkashKobal
