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pocketlantern

v0.2.0

Published

Blocker-aware decision layer for AI coding agents, grounded in source-linked, time-sensitive facts

Downloads

610

Vulnerabilities

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  • 0Medium
  • 0Low

Links

Git

Maintainers

allssuallssu

Keywords

climcpai-agentsdecision-cachellmfactual-accuracy

Readme

pocketlantern

Blocker-aware decision layer for AI agents — source-linked technology cards.

Your AI agent sounds confident. It missed the blockers. PocketLantern surfaces EOL dates, breaking changes, lock-in risks, and pricing shifts that LLMs miss from training data.

Install

npm install -g pocketlantern

Commands

pocketlantern search <query>              # Search knowledge cards
pocketlantern serve [--cards-dir <path>]   # Start MCP server
pocketlantern validate [--cards-dir <path>] # Validate card schemas
pocketlantern init [--scope <scope>]       # Register MCP server in Claude Code
pocketlantern doctor [--cards-dir <path>]  # Diagnose installation status

Register with Claude Code

pocketlantern init

Then restart Claude Code. Try:

"What breaks when upgrading Node.js 20 to 24?"
"What are the lock-in risks if I need to migrate away from Supabase?"

License

MIT