markdown

A beginner-friendly tutorial on how to set up persistent memory for an AI Agent in 30 minutes, using the open-source EverOS tool to store memory as editable Markdown files, without requiring Docker or vector database clusters.

Introduces several mainstream approaches to Agent memory entrepreneurship, recommends the EverMind team's open-source project EverOS, which provides a Markdown-sourced local memory OS supporting dual-track memory, multimodal ingestion, and self-evolution capabilities.

MD+HTML Reader allows users to review AI-generated Markdown and HTML in a focused workspace.

Introduces five open-source tools (MarkItDown, MinerU, Docling, marker, surya) that convert PDFs, Office documents, etc., into Markdown or JSON for direct use with RAG or AI agents.

The author shares how to use the open-source framework EverOS to store Claude Code's conversation memories as local Markdown files and manage them in Obsidian, achieving cross-session memory persistence.

A 20-line markdown file has garnered 45,000 stars on GitHub, demonstrating the significant impact a well-crafted prompt can have.

Describes a self-hosted solution for giving a local AI agent web access using SearXNG for search and Scrapling + Trafilatura for page extraction, avoiding paid APIs.

Introduces how to use Obsidian and Claude Code to build a local AI knowledge base, by creating folder structures, writing CLAUDE.md rule files, and step-by-step importing and organizing materials, to achieve long-term portable personal knowledge management.

LiteParse is a fast, open-source document parser that outperforms some frontier VLMs on markdown parsing without using AI models. It is available in multiple languages and platforms, and is developed by LlamaIndex.

Google announced the Open Knowledge Format, an open standard based on Karpathy's LLM wiki concept, designed to provide context for AI agents using simple markdown files.

Pagecast is a local-first tool for previewing and publishing Markdown/HTML reports to Cloudflare Pages, with features like password protection and agent integration.

LiteParse v2.1 is released, delivering the fastest LLM-free PDF-to-markdown conversion with top benchmark scores among model-free tools.

Emacs 31 is approaching with improvements like simpler tree-sitter setup and a built-in markdown-ts-mode. The article details features the author has been using from the development branch, highlighting reduced configuration overhead.

Andrej Karpathy demonstrates a free Obsidian-based knowledge management system that replaces costly RAG setups using Claude Code and markdown file structure, handling thousands of documents with minimal tool calls.

Kwipu is a new open-source local Graph RAG system that indexes Markdown and Obsidian notes into a property graph, enabling natural-language queries with hybrid retrieval and supporting local LLMs via Ollama.

A developer tool that converts OpenAPI V3 specifications (from URL or file) into AI agent skill markdown files, enabling efficient API interaction with reduced token usage.

A comprehensive guide to building a self-running second brain using a swarm of 300 AI agents within Obsidian, processing raw notes and articles overnight into organized knowledge without cloud dependency.

This tweet introduces the obsidian-wiki project, which implements Andrej Karpathy's LLM Wiki pattern on Obsidian, allowing AI Agents to autonomously ingest multi-source knowledge and organize it into a wikilink-interconnected markdown knowledge base. It supports Delta incremental updates and source attribution (provenance), and has built-in features like query, audit, graph export, etc. Currently at 2k stars.

Google Cloud introduces the Open Knowledge Format (OKF), an open specification for representing metadata and curated knowledge in markdown files to improve data sharing and context for AI agents. The format aims to make knowledge from fragmented internal systems portable and interoperable.

Introduces a workflow that uses Hermes and Obsidian to automatically organize chat highlights using AI and sync them to a local knowledge base, solving the problem of chat records being hard to accumulate.