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Research#llm📝 BlogAnalyzed: Dec 27, 2025 03:02

New Tool Extracts Detailed Transcripts from Claude Code

Published:Dec 25, 2025 23:52
1 min read
Simon Willison

Analysis

This article announces the release of `claude-code-transcripts`, a Python CLI tool designed to enhance the readability and shareability of Claude Code transcripts. The tool converts raw transcripts into detailed HTML pages, offering a more user-friendly interface than Claude Code itself. The ease of installation via `uv` or `pip` makes it accessible to a wide range of users. The generated HTML transcripts can be easily shared via static hosting or GitHub Gists, promoting collaboration and knowledge sharing. The provided example link allows users to immediately assess the tool's output and potential benefits. This tool addresses a clear need for improved transcript analysis and sharing within the Claude Code ecosystem.
Reference

“The resulting transcripts are also designed to be shared, using any static HTML hosting or even via GitHub Gists.”

PermalinkSimon Willison
Research#LLM👥 CommunityAnalyzed: Jan 10, 2026 15:03

Open-Source Memory Graph for LLMs: Core's Potential and Significance

Published:Jul 1, 2025 16:24
1 min read
Hacker News

Analysis

This Hacker News article introduces Core, an open-source memory graph designed for Large Language Models, emphasizing shareability and user ownership. The article's focus on user control and open-source nature positions Core as a potential alternative in the evolving LLM landscape.
Reference

“Core is an open-source memory graph for LLMs.”

PermalinkHacker News
Software Development#AI-Assisted Coding, TypeScript, Notebooks👥 CommunityAnalyzed: Jan 3, 2026 06:45

Srcbook: A TypeScript Notebook for Rapid Prototyping

Published:Aug 19, 2024 15:09
1 min read
Hacker News

Analysis

Srcbook is a promising open-source tool that addresses the need for a Jupyter-like environment specifically for TypeScript. Its key features, including full npm access and AI-assisted coding, make it well-suited for rapid prototyping, code exploration, and collaboration. The integration of AI for code generation and debugging is particularly noteworthy. The ability to export to markdown enhances shareability and version control. The project's open-source nature and call for contributions are positive signs.
Reference

“Key features: - Full npm ecosystem access - AI-assisted coding (OpenAI, Anthropic, or local models), it can iterate on the cells for you with a code diff UX that you accept/reject for a given code cell, generate entire Srcbooks, fix compilation issues, etc… - Exports to valid markdown for easy sharing and version control”

PermalinkHacker News