Jyo238/checkpoint
Persistent memory layer for AI coding assistants. Eliminate rediscovery across sessions. Claude Code / Cursor / Copilot / Codex.
Platform-specific configuration:
{
"mcpServers": {
"checkpoint": {
"command": "npx",
"args": [
"-y",
"checkpoint"
]
}
}
}Add the config above to .claude/settings.json under the mcpServers key.
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Persistent memory layer for AI coding assistants.<br> Eliminate rediscovery. Ship faster.
[](LICENSE) [](https://docs.anthropic.com/en/docs/claude-code) [](https://cursor.sh) [](https://github.com/features/copilot) [](https://github.com/openai/codex)
claude install-skill Jyo238/checkpoint
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> *“Every new AI session starts from zero. Checkpoint makes it start from where you left off.”*
Your AI coding assistant is brilliant within a single conversation — but start a new session and everything is forgotten. The API quirk it debugged for 30 minutes? Gone. The user preference you corrected? Forgotten. The architectural decision it finally understood? Rediscovered from scratch.
Checkpoint fixes this. One command (/checkpoint) captures every breakthrough, failed approach, user preference, and project context into structured, persistent memory files that survive across sessions — so your AI never solves the same problem twice.
<div align="center"> <br> <em>One <code>/checkpoint</code> command — 8 memory files saved, 4 updated, 1 deleted, index refreshed.</em> </div>
<br>
AI coding assistants are brilliant within a single conversation — but start a new session and everything is forgotten:
Checkpoint creates a structured, persistent memory system that survives across
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