8 entries
Keyword: obsidianRepository:kepano/obsidian-skills
The open-source repository kepano/obsidian-skills equips AI coding agents with capabilities to interact with Obsidian vaults. Built on the Agent Skills specification, it works with agents like Claude Code, Codex, and OpenCode.
47.9kstars
From Video: Weekly AI Roundup: DeepSeek Harness, Model Routing, and Scaffolding Shifts
Link:Obsidian (Dynalist Inc.)
Obsidian is a personal knowledge management tool that stores notes locally as plain Markdown files. It combines bidirectional linking, graph visualisations, and canvas boards with an extensive plugin ecosystem, alongside optional encrypted sync and web publishing services.
From Video: Weekly AI Updates: Model Releases, Agent Harnesses, and Developer Tooling (August 2026)
Article:Agrici Daniel
Agrici Daniel introduces claude-obsidian, a free open-source plugin for Claude Code. It implements Andrej Karpathy's LLM Wiki pattern to automatically compile and link Obsidian vaults from raw documents without requiring a vector database.
From Video: Weekly AI Updates: Local Models, GPT-6 Astra, and Agent Architectures
Article:Simon Späti
Simon Späti details an architecture for exploring personal Obsidian vaults using vector search and graph backlinks. The system runs locally using DuckDB and syncs to MotherDuck, serving search queries directly in the browser via WebAssembly.
Article:Wyndo
Inspired by an idea from Andrej Karpathy, author Wyndo outlines a workflow using Claude Code and Obsidian Skills to automatically compile, cross-link, and maintain a personal knowledge base.
Repository:AgriciDaniel/claude-obsidian
claude-obsidian is an MIT-licensed open-source project that connects Claude Code with Obsidian into a self-organizing knowledge graph. Implementing Karpathy's LLM Wiki pattern, it maintains a structured vault made entirely of local plain Markdown files.
14.6kstarsPython
From Video: Weekly AI Updates: Local Models, GPT-6 Astra, and Agent Architectures
X post:wast3
An engineer showcases a low-cost memory architecture for Kimi K3 that replaces vector stores and context bloat with a four-node lifecycle based on expiration. Rather than persisting everything, memories must earn retention through active model reuse.
697bookmarks67.1kviews
VideoVideo:Sascha Hoffmann | The Autopilot
Sascha Hoffmann breaks down how to set up and run Nous Research's Hermes Agent. Moving beyond reactive, session-based tools like Claude, he outlines four core pillars—installation, model selection, memory, and capabilities—to build an agentic workforce that operates autonomously around the clock.
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