❗ The 2 big problems every AI-native engineer runs into
Every tool expects its own inputs:
- Copilot →
.github/copilot-instructions.md, chat modes, reusable prompts - Claude →
CLAUDE.md, commands, skills - Cursor →
.cursor/rules/*.mdc, commands, skills - AGENTS.md →
AGENTS.md - (with more formats appearing every month…)
But your team’s actual standards aren’t stored anywhere:
- architecture rules → buried in Slack or Notion
- naming conventions → stuck in your head
- patterns → hiding in PR comments
- best practices → scattered across repos
👉 Packmind helps you turn all of this into a real engineering playbook (standards, commands, skills) so AI agents finally code your way.
Every repo. Every assistant. Different files, different folders, different formats.
Keeping everything in sync is impossible.
👉 Packmind centralizes your playbook once — and distributes it everywhere, generating the exact instruction files each AI tool needs, optimized for context.
Choose your preferred setup option:
- Cloud version: Get started at https://app.packmind.ai (free account)
- Self-hosted: Deploy on your own infrastructure using Docker Compose or Kubernetes
Follow the instructions during the onboarding to connect to your Packmind organization You can find them at anytime in the Settings menu.
Once authenticated, run in your project:
$> packmind-cli initThen, in your favorite ai coding agent, run:
/packmind-onboard
To create your first standards and commands from your codebase.
The MCP server allows you to create and manage standards and commands directly from your AI agent (GitHub Copilot, Claude Code, Cursor, etc.).
- Go to Account Settings in Packmind
- Copy your MCP Access token
- Configure your AI agent with:
- MCP server URL:
{PACKMIND_URL}/mcp - Your MCP access token
- MCP server URL:
Once set up, open your AI agent and use this prompt:
Start packmind onboarding
Your AI agent will guide you through creating your first coding standard interactively.
Available here: https://docs.packmind.com.