Lore: A tool that extracts structured context from AI coding conversations
What Lore does
Lore addresses the problem of re-establishing context between AI coding sessions. While CLAUDE.md files work for static project information, they don't capture what happened in previous conversations. Lore extracts structured context from AI conversations to maintain continuity.
Key features
- Paste conversations from Claude, ChatGPT, or Gemini to extract structured context
- Extracts four specific elements: decisions, TODOs, blockers, and a resume checklist
- Chrome extension captures conversations directly
- One-click context injection into your next session
Technical details
- Built entirely with Claude Code
- React + TypeScript Progressive Web App
- No backend required - everything stays in your browser
- Open source at github.com/nao-lore/lore-app
- Free to use with no API key needed
Availability
Launching on Product Hunt at https://www.producthunt.com/posts/lore-5
📖 Read the full source: r/ClaudeAI
👀 See Also
Claudlytics: Self-Hosted Dashboard for Tracking Claude Code Token Usage and Costs
Claudlytics is a Node.js web server that reads Claude Code's local .jsonl session files to provide real-time tracking of token usage and costs. It runs locally on 127.0.0.1 and can be accessed via SSH tunnel for remote servers.
HolyCode: Docker Container for Persistent AI Coding Agent Environments
HolyCode is a Docker container that provides a persistent development environment for AI coding agents, keeping sessions, settings, and plugins across rebuilds. It includes preconfigured browser tooling for agent workflows and supports Claude, OpenAI, Gemini, and other providers through OpenCode.
Tacit: An LLM-First Programming Language Built with Claude Code and Opus 4.7
Tacit is an experimental LLM-first programming language designed and implemented using Claude Code and Opus 4.7. It strips away human conveniences to minimize token usage and ships with a primer that teaches mid-tier+ LLMs (Sonnet and above) how to write Tacit code.
AI Ate the Translation Layer: The Org Chart After Agents
Ajey Gore argues AI didn't replace job titles — it ate the translation task. The middle of the org chart (engineering managers, scrum masters, tech leads) is shrinking as agents convert requirements to code directly.