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Hacker News - Newest: "LLM"

GitHub - lechmazur/position_bias: A benchmark for testing whether LLM judges keep the same preference when two lightly edited versions of the same story are shown in opposite orders. Flex routing (EU and EFTA) Dark Factories: Retooling for LLM Velocity Ask HN: What would be the impact of a LLM output injection attack? GitHub - AronDaron/dataset-generator: No-code desktop app for generating high-quality synthetic datasets to fine-tune LLMs — plan-then-execute pipeline, LLM-as-judge, HuggingFace upload. GitHub - Oaklight/llm-rosetta: Production-ready LLM API translation layer for Python — bidirectional conversion between OpenAI, Anthropic & Google formats via hub-and-spoke IR. Optional API gateway. Streaming & non-streaming. Zero core deps. Contributions welcome! GitHub - browser-use/browser-harness: Self-healing browser harness that enables LLMs to complete any task. GitHub - moeen-mahmud/remen: Remen turns thoughts into something you can return to Analyzing 156 LLM Launch Posts on Hacker News ChatGPT vs Gemini vs Claude: The Best LLM Subscription You Should Buy GitHub - salaamalykum/quran-semantic-search: High-density RAG Semantic Search Engine & Quran Corpus (GEO/SEO Architecture) GitHub - NVIDIA/TensorRT-LLM: TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way. The State of LLM Bug Bounties in 2026 Operational Readiness Criteria for Tool-Using LLM Agents Meshcore: Architecture for a Decentralized P2P LLM Inference Network How an LLM becomes more coherent as we train it GitHub - seetrex-ai/laimark GitHub - Jossifresben/BibCrit: AI-assited biblical textual criticism GitHub - wastedcode/memex: File system based wiki, maintained by Claude 99helpers.com GitHub - cliver-project/AITrigram GitHub - unbody-io/adapt: A self-evolving memory layer for AI agents. GitHub - hb20007/awesome-gen-ai-fails: A list of incidents where reliance on generative AI and LLMs resulted in harm to companies, individuals, or society GitHub - nevenkordic/localmind: Run any local LLM with persistent memory and context. CLI agent over Ollama with SQLite-backed hybrid recall. No cloud. Ask HN: What are the machine requirements for a LLM like Llama-3.1-8B? Faster LLM Inference via Sequential Monte Carlo grpo explained: group relative policy optimization for llm finetuning - cgft Stop comparing price per million tokens: the hidden LLM API costs · TensorZero Andrej Karpathy's LLM Wiki Is a Bad Idea GitHub - GG-QandV/mnemostroma: Offline RAM-first cognitive leer/coprocessor for AI agents and robotics. Solves "Context Abandonment" with 20-80ms latency using a dual-thread biomimetic memory architecture (ONNX + SQLite WAL). mempalace/agent at agent · skorotkiewicz/mempalace GitHub - Nyquest-ai/nyquest-rust-fullstack-pub: Nyquest — Semantic Compression Proxy for LLMs. 350+ rules, local LLM stage, 15-75% token savings. Full Rust stack. GitHub - TheoV823/mneme: Enforce architectural decisions in AI-assisted development. GitHub - klemenvod/TokenBrawl: A 1v1 Bomberman-style game where two LLM agents play autonomously against each other. No human plays — you watch the AIs fight. Each agent receives a text description of the board state, reasons about it, and outputs a move as JSON. The game engine executes it. Introducing the Common AI Provider: LLM and AI Agent Support for Apache Airflow Power Circuit AI: Designing Power Electronic Circuits for Motor Drives with Generative Artificial Intelligence Ask HN: How to program with IDE and LLM on CPU locally? Show HN: Agent-cache – Multi-tier LLM/tool/session caching for Valkey and Redis Bonsai 1-bit WebGPU - a Hugging Face Space by webml-community The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows Ask HN: Simple tooling for local LLM code critique without IDE integration? Can a General LLM Diagnose a DICOM Slice? A 10-Case Public Benchmark Charts-of-Thought: Enhancing LLM Visualization Literacy (PDF, 2026) GitHub - Mesh-LLM/mesh-llm: Distributed AI/LLM for the people. Share compute privately or publicly to power your agents and chat. 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Open the Black Box with the Arthur Engine Milla Jovovich's New Open Source LLM Memory App and the Dark Code Problem Your intuition of LLM token usage might be wrong Show HN: Bloomberg Terminal for LLM ops – free and open source GitHub - 0xchamin/mcptube: Transform YouTube videos into a compounding knowledge base with transcripts, vision analysis, and agentic search. Works as an MCP server for Claude, Copilot & more. Show HN: Open KB: Open LLM Knowledge Base Your LLM is a compiler, not a runtime GitHub - sapountzis/Unslop: A Web Feed That Deserves You crates.io: Rust Package Registry Beyond Karpathy's LLM-Wiki: The Necessity of Cognitive Governance GitHub - amitshekhariitbhu/llm-internals: Learn LLM internals step by step - from tokenization to attention to inference optimization. GitHub - parallem-ai/parallem: An expressive library for running agents with the Batch API. GitHub - stfurkan/pi-llm LLM-Wiki Show HN: Formal – Formal verification for AI-generated code using Lean 4 LRTS – Regression testing for LLM prompts (open source, local-first) LLM Wiki Skill: Build a Second Brain with Claude Code and Obsidian I built an LLM Wiki and RAG solution: here's a demo for a security KB The biggest advance in AI since the LLM Predict-Rlm: The LLM Runtime That Lets Models Write Their Own Control Flow the-synthetic-library/the-synthetic-mind at main · joshferrer1/the-synthetic-library GitHub - yisding/reviewwiggum GitHub - Donnyb369/mcp-spine: Context Minifier & State Guard — Local-first MCP middleware proxy GitHub - Beledarian/wgpu-llm: A from-scratch LLM inference engine that uses wgpu (the cross-platform WebGPU implementation) to dispatch WGSL compute shaders for every math operation a Transformer needs. No CUDA. No Python. No massive framework dependencies. Just Rust, raw shaders, and your GPU. GitHub - anitiue/Hindsight: An experience-driven self-improvement framework for LLM agents — 基于经验的 LLM Agent 自我改进框架 GitHub - stef41/lmscan: 🔍 Detect AI-generated text and fingerprint which LLM wrote it. Open-source GPTZero alternative. Zero dependencies, works offline. GitHub - alainnothere/AmdPerformanceTesting: Amd Performance Testing Ask HN: Is a purely Markdown-based CRM a terrible idea? Optimized for LLM agents Context Engineering - LLM Memory and Retrieval for AI Agents | Weaviate little_helper_tui/letter.md at main · sleepyeldrazi/little_helper_tui GitHub - EvanZhouDev/umr: The Unified Model Registry for all your local AI apps. GitHub - JordanCT/VigIA-Orchestrator Your Agent Is Mine: Measuring Malicious Intermediary Attacks on the LLM Supply Chain A Taxonomy of RL Environments for LLM Agents Llama LLM Network Feture GitHub - genedeng-ca/ai-mac-migration: AI-powered Mac-to-Mac migration tool - replace Apple Migration Assistant with intelligent, selective transfer using local LLMs GitHub - lunargate-ai/gateway: High-performance self-hosted AI gateway (OpenAI-compatible) with routing, retries, and streaming GitHub - AuthBits/webmcp: A lightweight, prompt-driven MCP web research server for high-quality LLM powered information extraction. Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering Springdrift: An Auditable Persistent Runtime for LLM Agents with Case-Based Memory, Normative Safety, and Ambient Self-Perception High-Stakes Personalization: Rethinking LLM Customization for Individual Investor Decision-Making From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents HUOZIIME: An On-Device LLM-enhanced Input Method for Deep Personalization TIDE: Token-Informed Depth Execution for Per-Token Early Exit in LLM Inference Characterizing WebGPU Dispatch Overhead for LLM Inference Across Four GPU Vendors, Three Backends, and Three Browsers LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users
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 Hacker News - Newest: "LLM"

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