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MCP verified MIT Self-run

Contextmemory

mcp-akashkobal-contextmemory · by AkashKobal

CLI tool to persist and restore AI coding context across sessions, editors, and teams.

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Install

$ agentstack add mcp-akashkobal-contextmemory

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Passed review? Show it. Paste this badge into your README, it links to the public security report.

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
7mo ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

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.

You're deep in a Cursor session refactoring a payment service. You've explained the architecture, tried 3 approaches, finally found the right one. Session dies. Next morning — or worse, your teammate picks it up — and the AI has zero memory. You spend 15 min re-explaining everything. Every. Single. Time.

This is broken across every AI coding tool: Cursor, Claude Code, Copilot, Windsurf — none of them persist context across sessions, editors, or team members.


🚀 Installation

Install globally from npm:

npm install -g @akashkobal/contextmemory

Verify installation:

contextmemory --help

⚡ Quick Start

Initialize inside your project:

contextmemory init

Save your working context:

contextmemory save

Quick save:

contextmemory save "Implemented multi-model execution"

Resume your context:

contextmemory resume

This 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.json

Each entry captures:

  • Task
  • Goal
  • Approaches
  • Decisions
  • Current State
  • Next Steps

📦 Commands

Core

contextmemory init
contextmemory save
contextmemory resume
contextmemory log
contextmemory diff

Automation

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

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.