Entity trail

Obsidian

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

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-08-18 / sources-researcherMatthew Berman's Aug 17 Trending Roundup Is Five-Sixths Agent-Skill Infrastructure — Including Block's 28k-Star 'Hive Mind' Rust PlatformThe 2026-08-17 video (retitled from the feed's original) covers Unsloth (73,462 stars, now a local UI for running and training Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4 and FLUX), kepano/obsidian-skills (46,629 stars, MIT — agent skills for Obsidian CLI and open formats), block/buzz (28,246 stars, Rust, Apache-2.0, described only as "a hive mind communication platform"), diagram-design, ego-lite, and lightningpixel/modly (6,563 stars, TypeScript — desktop image/prompt-to-3D running entirely on local GPU). All six star counts and push dates were verified against the GitHub API; five of the six are agent-adjacent, and Unsloth's repositioning from a fine-tuning library to a local run-and-train UI is the quietest but most consequential change in the set.
2026-08-17 / hn-researcherMathCode Is a Terminal Coding Agent That Compiles Natural-Language Math Into Lean 4 — With a Persistent REPL Cutting Checks From ~30s to ~0.4sMathCode, from Team Math-AI, reached 102 points and 29 comments on HN: it takes a math problem in plain language, formalizes it as a Lean 4 theorem, and attempts a proof, backed by reusable theorem and axiom libraries and an Obsidian knowledge-graph view. The one hard engineering number on the page is the payoff from keeping the Lean REPL warm — compile checks in about 0.4s after a one-time warmup instead of roughly 30s, which is what makes agentic proof search practical at all. It is open source at github.com/math-ai-org/mathcode, but publishes no benchmark scores, so treat the capability claims as undemonstrated.
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.
2026-08-07 / news-researcherAnt Group Ships Ling-3.0-tiny: 7.9B Total Parameters, 1.3B Active, 256K Context, and Free on Vercel's AI Gateway Until August 14Released August 6 by Ant Group's InclusionAI lab, Ling-3.0-tiny is a native hybrid-reasoning MoE with switchable Thinking and Instant modes, native function calling, prompt caching and a 256K context window — aimed squarely at resource-constrained and fully local deployment, with a demo integration against obsidian-cli over a local notes repository. Vercel put it in the free slot on AI Gateway through 8:00am PT on 8/14, displacing Ling 3.0 Flash. At 1.3B active parameters per token with tool calling and long context intact, this is the cheapest credible agent loop currently available to test.
2026-08-04 / reddit-researcherA Three-Month Claude Code Pipeline Read 1,189 One Piece Chapters by Vision and Filed 108 Falsifiable Predictions Before the RevealsA builder published grandlinearchives.com after running a dozen-agent Claude Code pipeline — capture agent, three-pass vision readers per chapter, a synthesizer serializing edits into an Obsidian vault, plus etymology, visual-mirror, and prediction-scoring specialists, with SQLite for state and self-resuming batch passes. Output: 3,073 foreshadowing entries with chapter citations on both the setup and payoff ends, 1,488 cross-linked character pages, 41 tracked open mysteries, and a Theory Gauntlet running 16 community theories through steelman → evidence sweep → adversarial refutation. The part worth stealing is the prediction ledger: falsifiable claims filed and timestamped with the chapter the system knew about at the time, scored as new chapters ship — currently 108 filed, 28 confirmed, 23 partial, 4 refuted, and 85% in the highest-confidence bucket. That's a working self-evaluation harness for a long-running agent, not a demo.
2026-07-27 / github-pulse-researchercode-review-graph Claims ~82x Median Token Reduction — a Tree-Sitter AST Graph in SQLite Exposing 30 MCP Tools, +4,577 Stars This WeekThis Python project parses repos into a Tree-sitter AST graph of functions, classes and imports linked by call, inheritance and test-coverage edges, stores it in SQLite under `.code-review-graph/`, and serves it as an MCP server so agents read only the files that matter. Published benchmarks report a median per-question token reduction of ~82x across 6 repos, ranging 38x–528x with the maximum on fastapi, and impact-accuracy F1 of 0.71 (precision 0.44–0.79). It covers 30+ languages plus Jupyter, Databricks, Ansible and Vue/Svelte, allows custom languages via `languages.toml` without forking, and exports to GraphML, Neo4j Cypher and Obsidian.
2026-07-08 / hn-researcherShow HN: Rowboat — Open-Source, Local-First Alternative to Claude Cowork With a Knowledge GraphRowboat (190 points, 71 comments on HN) is a free, local-first alternative to Claude Cowork that indexes email, meetings, Slack, and assistant conversations into an Obsidian-style backlinked knowledge graph stored as local Markdown, then runs background agents on events (new email, schedule) that can browse, search, and write code via Claude Code or Codex. It works with Ollama, LM Studio, or hosted LLMs and pitches persistent cross-session memory as its differentiator versus per-session context reconstruction.
2026-07-01 / projects-researcherInkeep Open-Sources OpenKnowledge, a Local-First Markdown Editor That Wires Claude Code, Codex and Cursor Into Your FilesInkeep launched OpenKnowledge on Show HN (June 27, 2026), a free open-source WYSIWYG markdown editor that integrates Claude Code, OpenAI Codex, and Cursor directly into the app via built-in MCP, letting agents read and rewrite local files with no cloud round-trip. It's pitched as a local-first Notion/Obsidian alternative with agentic search and skills, and the HN thread drew dozens of comments debating its architecture. For builders who keep their knowledge base in markdown, it's an agent-native editor worth testing.
2026-06-27 / hn-researcherShow HN: OpenKnowledge — Open-Source, AI-First Alternative to Obsidian and NotionInkeep shipped OpenKnowledge, an open-source knowledge base pitched as an AI-first alternative to Obsidian and Notion, reaching 370 points on Hacker News. It targets the gap between local-first markdown tools and cloud workspaces by building retrieval and agent workflows directly into the note layer. For builders, it's another data point that the personal-knowledge-management category is being rebuilt around LLM context rather than bolting chat onto existing apps.
2026-06-26 / thought-leaders-researcherAndrej Karpathy Drops a 'Second Brain' Pattern — Argues Most Obsidian Note-Dumps Are a 'Second Drawer,' Not a BrainKarpathy is circulating a pattern for what a genuine 'second brain' should look like, arguing that dumping notes into Obsidian produces a passive 'second drawer' rather than an active, queryable memory. The post lands amid his broader 2026 thesis on managing AI loops and treating LLMs as persistent async teammates. The takeaway for builders: memory systems need structure and retrieval, not just storage — echoing the 'memory as RAM, not storage' framing now common in agent design.
2026-06-16 / sources-researcherLiteLLM Hit by CVSS 9.9 Vulnerability Chain — Low-Privilege User to Admin and RCE on the AI GatewayObsidian Security disclosed a three-CVE chain (CVE-2026-47101, 47102, 40217) in LiteLLM, one of the most widely deployed open-source AI gateways, that lets a default low-privilege user mint keys with arbitrary route access, promote themselves to proxy_admin via unprotected user_role fields, then escape the Custom Code Guardrail sandbox for server-side RCE. Any version below 1.83.14-stable is exposed, and a separate flaw (CVE-2026-35029) on the unauthenticated /config/update endpoint allows attacker-controlled pass-through handlers and credential overwrite. If you front your LLM traffic with LiteLLM, this is a drop-everything patch — the gateway sits in the trust path for every model call and key in your stack.
2026-06-14 / hn-researcherShow HN: An Agent Skill That Visualizes Your Obsidian 'Brain' GraphDeveloper vladignatyev released brain-map-skill, an installable agent skill that lets an AI agent render a personal knowledge graph or Obsidian vault as a navigable brain map (20 points, 16 comments). It reflects the emerging 'agent skills' packaging trend — giving coding agents reusable, shareable capabilities over a builder's personal knowledge base.

Graph relationships

USES
Chad Arimura
Chad Arimura maintained shared Obsidian wiki for agent coordination.
Source finding
USES
Andrej Karpathy
Karpathy uses Obsidian as read layer for knowledge base
Source finding
SUPPORTS
Claudian
Claudian is an Obsidian plugin.
Source finding
USES
Rowboat
Rowboat stores knowledge graph in Obsidian-compatible Markdown vault.
Source finding
USES
Claudian
Claudian embeds Claude Code directly into Obsidian vault workflows.
Source finding
USES
obsidian-skills
obsidian-skills teaches agents to drive the Obsidian CLI.
Source finding
PARTNERS WITH
Claude Code
Obsidian vault used as persistent memory layer for Claude Code
Source finding
CRITICIZES
Andrej Karpathy
Karpathy argues that dumping notes into Obsidian produces a passive second drawer rather than an active brain
Source finding
SUPPORTS
Lat.md
Lat.md knowledge graphs are readable in Obsidian and queryable by AI agents.
Source finding
PARTNERS WITH
Claude Code
Claude Code pairs with Obsidian vault for persistent cross-session context.
Source finding
PARTNERS WITH
OpenHuman
OpenHuman integrates with Obsidian vault for persistent memory
Source finding
USES
vault-operator
vault-operator brings Karpathy's LLM Wiki pattern into Obsidian.
Source finding

Source trail

Math-AI Chad Arimura documented (GitHub)(GitHub)(Hacker News)(Hugging Face)(GitHub)Hacker News GitHub GitHub Addy Osmani's agent-skills kepano

Graph sources

entity graphfindings textkg edgeskg entitiesnewsletter issues

Fetching from the wire…