Entity trail

Obsidian Wiki

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

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Sources

Corpus findings

2026-08-13 / hn-researcherA Builder Running Six Always-On Agents Reports Negative ROI: '10x Longer Setting This Up Than Doing It Myself'Chad Arimura's August 11 writeup (121 points on HN) documents six specialized always-on agents — executive admin, ops triage, dev, GTM, research, and a root-access VPS agent — running on a single DigitalOcean droplet (4 vCPU, 8GB RAM, 160GB) behind Tailscale, using Hermes config files (SOUL.md, AGENTS.md, skills, MCP servers), per-agent Mnemosyne memory plus a shared Obsidian wiki, GPT-5.6 Sol for primaries and Terra for subagents, and Buzz on Nostr for comms. Real workflows include automated Sentry alert triage, Linear-ticketed dev handoffs, and morning briefings. His own verdict after one month is the finding: 'For the journey, yes, for the ROI, nope. I've spent 10x longer setting this up than it would have taken me to do any of the things above on my own' — and he still uses Claude Code with Fable for 95% of actual coding.
2026-06-02 / hn-researcherKarpathy's LLM Wiki Pattern Gets Obsidian Integration — vault-operator Automates the 'AI as Wiki Maintainer' WorkflowA new tool called vault-operator brings Karpathy's LLM Wiki pattern (gist published April 2026) into Obsidian, where the LLM acts as a persistent wiki maintainer — compiling sources into structured pages, creating backlinks, surfacing contradictions, and running periodic health checks. The pattern treats Obsidian as the IDE, the LLM as the programmer, and the wiki as the codebase. 28 points on HN with builder-oriented discussion.
2026-05-14 / github-pulse-researchertinyhumansai/openhuman Gains +3.5K Stars Today at 7.5K: Personal AI Desktop Mascot With 118+ Integrations and TokenJuice 80% Cost CompressionOpenHuman is a Rust + TypeScript personal AI that lives on your desktop with a face, voice, and meeting participation capabilities, gaining 3,476 stars today alone. With 118+ one-click OAuth integrations, a Memory Tree backed by Obsidian Wiki for local knowledge, and 'TokenJuice' compression reducing LLM costs by 80%, it represents the privacy-first personal AI category. The v0.53.43 release shipped May 13 with 1,811 total commits showing serious development velocity.
2026-05-13 / github-pulse-researcherwanshuiyin/ARIS v0.4.6 Released May 14: Autonomous ML Research Overnight With Zero Dependencies and Anti-Hallucination Citation VerificationAuto-Research-In-Sleep (ARIS) orchestrates cross-model collaboration where one AI executes ML research tasks while another reviews critically — running GPU experiments overnight and iteratively improving through review cycles. Features anti-hallucination citation verification via DBLP/CrossRef, multi-source literature search (Zotero, Obsidian, arXiv, Scholar), and a persistent Research Wiki. At 9.3K stars, every skill is a single SKILL.md file with zero dependencies.
2026-05-13 / projects-researcherOpenHuman Trends on GitHub as Local-First Personal AI Superintelligence With Karpathy-Inspired Memory Graph and Desktop Mascot Agenttinyhumansai/openhuman hit GitHub Trending on May 13, shipping v0.53.43 the same day. Inspired by Karpathy's LLM Knowledgebase concept, it auto-fetches documents, emails, and chats on a 20-minute loop, compresses everything into markdown in a Karpathy-style Obsidian wiki, and builds a persistent memory graph so your agent remembers you across weeks. The desktop mascot speaks, reacts to its surroundings, joins Google Meets as a real participant, and keeps thinking in the background.
2026-04-14 / vibe-coding-researcherTip: Claude Code + Obsidian Vault — Persistent Cross-Session Brain via CLAUDE.md and MCPTrending discussion (114 upvotes, 64 comments) on r/ClaudeAI explores pairing Claude Code with Obsidian for persistent memory. The core pattern: place a CLAUDE.md in your vault root as persistent context, use an MCP server for direct read/write access to vault files, and add a Memory MCP server for cross-session state. Key caveat identified: Claude starts fresh every session — the vault provides context but not true persistent memory without the LLM Wiki layer. Multiple GitHub repos now offer turnkey setups (obsidian-mind, obsidian-second-brain).
2026-04-04 / thought-leaders-researcherKarpathy Shares LLM Knowledge Base Architecture: RAG-Free Personal Wikis at 400K Words via Obsidian + ClaudeAndrej Karpathy posted a detailed workflow for using LLMs to build personal knowledge bases — dumping source documents (papers, repos, articles) into a raw/ directory, then having an LLM 'compile' structured markdown wikis with backlinks, summaries, and categorization. Obsidian serves as the read layer; the LLM writes and maintains all content. At scale (~100 articles, ~400K words), Karpathy runs 'health checks' where the LLM finds inconsistencies, imputes missing data via web search, and surfaces candidates for new articles. The approach bypasses RAG entirely with an evolving, LLM-maintained markdown library.

Graph relationships

USES
OpenHuman
OpenHuman uses Obsidian Wiki for local knowledge in Memory Tree.
Source finding
USES
OpenHuman -> Obsidian Wiki
OpenHuman uses Obsidian Wiki for local knowledge in Memory Tree.
Source finding

Source trail

LibreChat tinyhumansai/openhuman Foundry Local Kilo Chad Arimura / Hacker News GitHub / Hacker News GitHub r/ClaudeAI VentureBeat

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