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See which tool calls have zero checks Code Block Selector - Visual Studio Marketplace Prometheus dependency graph — interactive showcase | Riftmap Show HN: I made a vi-like modal keyboard plugin for Figma GitHub - run-llama/liteparse: A fast, helpful, and open-source document parser GitHub - dalemyers/Roar: A macOS CLI tool for notifications GitHub - district-solutions/open-agent-tools-coder: Enables small-to-large self-hosted ai models to use local source code when running tool-calling agentic workloads. We actively data mine 20,900+ (2+ TB) popular github repos using large and small ai models to create reuseable: json, markdown and parquet files for local-first tool-calling models. GitHub - progapandist/stripeek: A local TUI proxy for real-time Stripe API debugging, built for navigating complex payloads fast. GitHub - sir1st/hermes-desktop: All-in-one cross-platform desktop app for Hermes Agent — bundles Python + hermes-agent + hermes-web-ui GitHub - astefanutti/shaderbang: Shebang for Shaders Show HN: Generate Claude Code Workflows using Spec Driven Development approach GitHub - nixys/nxs-universal-chart: The Helm chart you can use to install any of your applications into Kubernetes/OpenShift Show HN: AI agents for UK GDAD PCF roles and their skills The Two Pillars: Mixer Mode and Meta-Software in the Reorganization of Software Work After AI GitHub - JaiCode08/teleport-env What 1,000+ Harness Experiments Taught Me About Self-Improving Agents Show HN: Liiists, a Markdown-first, iOS and CLI list app SwiperTab – Get this Extension for 🦊 Firefox (en-US) GitHub - kouhxp/fftext: Summarize, explain, fact-check, or translate any text, URL, or file. No GPU. No cloud. One command GitHub - sweetpad-dev/sweetpad: Develop Swift/iOS projects using VSCode GitHub - dogmaticdev/IRON: IRON a.k.a. Intermediate Representation Object Notation is a Interpreter/Database that is used to create Programming Languages. GitHub - sjhalani7/vaen: Package your AI coding harness into a portable .agent file, and share it across repos, teams, & the community without ever having to copy-paste instructions, skills, MCP config, or secrets. Show HN: Gandalf the Grader Show HN: Citadeld – replay any CI failure locally from a single file GitHub - tdortman/cuSBF: High-Performance GPU Super Bloom Filter coral-ai/claude-code-token-xray at main · Coral-Bricks-AI/coral-ai GitHub - ulyssestenn/funes: Funes is a Git-based framework for LLM-managed knowledge work: an AI Librarian ingests raw sources, builds an interlinked Markdown knowledge base, and uses it to produce cited reports, analyses, and other outputs. GitHub - ThatXliner/gah: Git Add Hunk, built for agents to use GitHub - harmont-dev/harmont-cli: Command-line client for the Harmont CI platform GitHub - brooksmcmillin/mcp-authflow: OAuth 2.0 Authorization Server framework for MCP servers GitHub - javaid-codes/audit-supply-chain-agents GitHub - amorey/gochan: A small library of common channel architectures for Go, inspired by Rust GitHub - arifozgun/OpenGem: Free, Open-Source AI API Gateway with Gemini, OpenAI & Anthropic Compatibility in 1 file GitHub - Pranesh950/BioPetals: 🌸 Run BIOxAI models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading GitHub - cnguyen14/bounty-doctor: Diagnose a GitHub bounty issue before you waste hours: detects honeypot scam repos, AI-bot attempt swarms, and stale contests. 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GitHub - mrdanielcasper/CoreTex: A UNIX-inspired, biomimetic, flat-file AI harness and knowledge engine. GitHub - clemg/pierre-github: Pierre's diffs.com and trees.software for Github GitHub - lyriks-io/unspaghettit: Behavior-driven AI development without prompt spaghetti. GitHub - sofumel/claude-handoff-revive: Resume Claude Code work after rate/usage/context limits without replaying the prior transcript. Auto-saves at 90%/95% usage. Plugin-installable, 10 languages. GitHub - dotexorg/saferpc: Typed, end-to-end encrypted RPC over any bidirectional channel. GitHub - BeeZeeAgent/beezee: Agent harness orchestration Legato Next.js Boilerplate for Internal Tools · CoreUI GitHub - clark-labs-inc/clark-hash: Clark Hash, 32x smaller searchable sketches for embeddings GitHub - ZeroPointRepo/youtube-mcp: The fastest YouTube transcript + YouTube search MCP for AI agents. Try for free. Typing Mastery — climb toward 100+ WPM, deliberately GitHub - Andebugulin/Awareen GitHub - fayzan123/claude-workflow-composer: Visual desktop app for composing multi-agent coding workflows. Drag agents, attach skills and MCPs, wire handoffs, export to .claude/ GitHub - harshaneel/humanize: Best static AI text humanizer. Two research-grounded skills that work in any LLM (Claude, ChatGPT, Gemini, Codex): humanize beats perplexity-based detectors, ai-check produces forensic scoring with evidence-quoted flags. Nine levers, 50+ peer-reviewed sources, 2024-2026 detection literature. GitHub - StackOneHQ/stack-nudge GitHub - nodes-app/swift-markdown-engine: A native AppKit Markdown editor for macOS, built on TextKit 2 and bridged to SwiftUI. We hardened an LLM agent. Each defense we added made it more exploitable. GitHub - alkait/WhatsKept: Agent-queryable WhatsApp history from an iOS backup — a single Go binary. GitHub - octelium/cordium: Open-source, general-purpose sandbox platform for devs and AI agents that provides identity-based secure access to infrastructure without credentials. WAR.GOV/UFO Microfilm5 GitHub - scosman/videowright: Build animated explainer videos with your coding agent GitHub - dipankar/dscode: The code editor you can take apart. GitHub - zoharbabin/web-researcher-mcp: MCP server (Go) for AI assistants: web search, content extraction, academic/patent/news research. Multi-provider routing, 4-tier scraping, search lenses. Works with Claude, Cursor, and any MCP client. GitHub - ruvnet/RuView: π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video. GitHub - scanaislop/aislop: Catch the slop AI coding agents leave in your code: narrative comments, swallowed exceptions, as-any casts, dead code, oversized functions. 50+ rules across 7 languages (TypeScript, JavaScript, Python, Go, Rust, Ruby, PHP). Sub-second, deterministic, no LLM at runtime. MIT-licensed. GitHub - kouhxp/cheap-im: CPU-only voice agent approximating Thinking Machines' Interaction Models demo GitHub - unprovable/OrchidMantis: Orchid Mantis — standalone framework for Zero-Knowledge Proofs of eXploit (ZKPoX). GitHub - MarcellM01/TinySearch: Shrink the web for your local LLMs! GitHub - TangibleResearch/Halgorithem: A Algo designed to detect AI Hallucitions GitHub - DO-SAY-GO/freelang: I love freelang GitHub - CarpseDeam/Aura-IDE: An AI coding harness that shaped itself - Planner/Worker agents, repo awareness, surgical edits, validation, recovery, and safe diff approvals. GitHub - chojs23/concord: A feature-rich TUI client for Discord GitHub - tommyjepsen/awesome-ux-skills: UX & AI Product designs skills you can use today in Claude Code GitHub - aerf-spec/aerf: Agent Evidence Receipt Format (AERF) — an open specification for tamper-evident, independently verifiable records of AI agent actions. GitHub - kklimuk/docx-cli: CLI for AI agents (Claude, Codex) to read, edit, and comment on .docx files with full format fidelity. GitHub - Jwrede/tokentoll: Catch LLM cost changes in code review. Infracost for LLM spend. GitHub - samchon/ttsc: A `typescript-go` toolchain for compiler-powered plugins and type-safe execution + 500x faster lint integrated into compiler GitHub - Higangssh/homebutler: 🏠 Manage your homelab from chat. Single binary, zero dependencies. GitHub - olalie/tapmap: See where your computer connects and what stands out on a live world map. GitHub - Diplomat-ai/diplomat-agent: What can your AI agent do to the real world? Scan your code. See which tool calls have zero checks GitHub - Bajusz15/beacon: Open-source agent for secure remote access, monitoring, and deploys across home-lab and self-hosted machines like Raspberry Pi, N100, or any Linux server. Open web based TTY or tunnel Home Assistant and other local services securely without opening ports. BigTech AI News - Chrome 应用商店 GitHub - vinhnx/VTCode: VT Code is an open-source coding agent with LLM-native code understanding and robust shell safety. Supports multiple LLM providers with automatic failover and efficient context management. GitHub - michaelaz774/decision-engine: A decision operating system for startup founders, powered by Claude Code. Synthesizes wisdom from 25+ legendary founders and investors into interactive AI-driven decision frameworks. GitHub - Chrilleweb/dotenv-diff: Validate environment variable usage in your codebase GitHub - Lumen-Labs/brainapi2: BrainAPI is a knowledge graph–powered AI memory layer that transforms unstructured data into structured knowledge, enabling intelligent search, recommendations, and contextual memory for AI agents and applications. GitHub - familiar-software/familiar: Let AI watch you work. Familiar lets your AI update its memory, skills, and knowledge by watching your screen. GitHub - skorotkiewicz/rudo: A small, elegant dock for Wayland GitHub - muxshed/shed: One stream in, or many. Every destination, simultaneously. No cloud middleman, no per-channel fees, no limits. make sidebar/address bar rounded corner toggleable
GitHub - l-zhi/pith-wiki: Karpathy-style LLM Wiki Desktop App: hydrate raw docs into dense Markdown entries; retrieve by keyword + link traversal. No embeddings, no vector DB. Karpathy llm wiki, pdf-parser, knowledge-base, rag。https://arxiv.org/abs/2605.15184
a569171010 · 2026-06-25 · via Show HN

中文版 → README.zh-CN.md

A local-first LLM knowledge base. Drop in your notes, PDFs, and emails — pith hydrates each into a dense Markdown entry an LLM can read, then lets you chat with your whole library, retrieved by keyword + link traversal. No embeddings, no vector DB. Everything stays in plain files on your disk.

Obsidian vault + pith side by side

Drop a note into your Obsidian vault — pith auto-ingests it into an entry the LLM can pull from mid-conversation.

  • 🗂️ Plain files, not a black box — every entry is Markdown + YAML frontmatter; Obsidian, VS Code, and Git open them natively.
  • 🔍 Retrieval you can reason about — weighted keyword search + link-graph traversal + exact grep. No embedding drift, no vendor lock-in.
  • 💬 Chat that writes back — the agent reads your library through file/wiki tools; /digest distills a conversation into a new entry.
  • 🤖 Auto-ingest + schedule — watch a folder for new files; run agent tasks on a cron (e.g. a daily digest of yesterday's additions).
  • 🔒 Local-first — all data under ~/.pith-wiki/; outbound PII filtering on by default. No cloud, no lock-in.

Design philosophy: data engineering > retrieval algorithms. Don't dump raw docs into a store and hope embeddings pull them back. Use an LLM to hydrate each source into a high-density Markdown entry, then retrieve by keyword + link traversal. Simple, file-based, human-readable.

Input formats: .docx .eml .htm .html .md .pdf .txt. The product is pith; the npm package and repo are historically named pith-wiki.

Install

Desktop app (recommended) — the full experience: chat, inbox, dashboard, link graph, skills, and a scheduled-tasks calendar, all over the same engine and on-disk library. No packaged installer yet, so run it from source:

git clone https://github.com/l-zhi/pith-wiki.git
cd pith-wiki/desktop
npm install
npm run dev      # electron-vite dev (HMR)

CLI (optional — for automation / headless use):

npm install -g pith-wiki
pith-wiki        # launch the REPL

On first launch, onboarding walks you through setup — pick a provider, paste an API key, and point it at a notes folder to watch. Everything lives under ~/.pith-wiki/ (config + wiki data); set PITH_WIKI_HOME for an isolated profile.

Platforms: macOS + Linux are CI-tested (Node 20 / 22); Windows is usable but not yet CI-covered. Dev scripts: npm test / npm run typecheck / npm run build (inside desktop/, or repo root for engine/core). See CONTRIBUTING.md.

What it does

1. Hydrate — compress raw documents (markdown / PDF / DOCX / HTML / email) into Markdown entries roughly 30% of the original size. Strip filler, keep signal. LLMs read these directly.

2. Retrieve — no embeddings, no vector DB. Weighted keyword search (title × 2, tags × 2, summary × 1, content × 0.5) + BFS link traversal, plus exact substring/regex search (wiki_grep) and date-range filters (when an entry was added to the library, or the content's own date). Boring on purpose. Entries are plain Markdown; Obsidian, VS Code, and Git all open them natively.

3. Chat — the agent talks to your library through file + wiki tools (wiki_query fuzzy search, wiki_grep exact search, wiki_get, wiki_read_source, wiki_ingest, read_file / write_file / list_dir, …). Every turn writes a transcript; /digest distills the conversation back into a wiki entry, closing the loop chat → store → retrieve.

4. Auto-ingest — point a watch folder (Obsidian vault, inbox, etc.) at pith in Settings, and changes are auto-enqueued for a background worker to hydrate. Built-in health checks flag orphan links, broken frontmatter, and ID collisions.

5. Schedule (desktop) — set tasks that run an agent prompt on a schedule (once, or cron) — e.g. a daily digest of everything added yesterday. Each fire opens a fresh session you can reopen; ${yyyy-mm-dd -1}-style date placeholders are resolved at run time so "yesterday" is always correct.

Full documentation

Document When to read it
docs/config.md Configuration field reference, additionalReadPaths, on-disk layout
docs/config.example.json Full ~/.pith-wiki/config.json example (multi-provider + watchDirs + queue)
docs/entry-format.md YAML frontmatter spec for entries
docs/architecture.md Three core services + data-flow diagram
docs/security-model.md Sandbox invariants (required reading for contributors)
docs/usage.md CLI reference (advanced / automation — the app is the primary way to run)
SECURITY.md Vulnerability reporting
CONTRIBUTING.md Contribution flow
CHANGELOG.md Version history

License

Apache 2.0 · Copyright (c) 2026 lizhi