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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 - 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 - ivankuznetsov/llm-wiki
ivankuznetso · 2026-04-26 · via Hacker News - Newest: "LLM"

Bootstrap and query LLM-maintained project wikis before planning or implementation.

Supports Claude Code + Codex (GPT-5.5).

LLM Wiki in action

llm-wiki turns the LLM Wiki pattern into installable agent skills. It is based on the setup from How I Built a Self-Maintaining Knowledge Base for 6 Projects Using Claude Code & Karpathy's LLM Wiki.

It works with my original six-project setup: project-local wiki/ folders, a cross-project ~/wikis/master/wiki/, QMD semantic search when available, and ripgrep fallback when it is not.

llm-wiki packages three workflows:

  • bootstrap-wiki creates a grounded wiki/ knowledge base for the current project.
  • wiki-researcher searches the project wiki and cross-project master wiki before planning or implementation.
  • wiki-plan runs wiki research first, then hands the result to Compound Engineering planning when available.

Install: Claude Code

Add the central marketplace:

/plugin marketplace add ivankuznetsov/agent-plugins

Install this plugin:

/plugin install llm-wiki@aikuznetsov-marketplace

Then use the installed plugin commands/skills from Claude Code. The key entrypoints are:

/llm-wiki:bootstrap-wiki
/llm-wiki:wiki-researcher
/llm-wiki:wiki-plan

Claude Code may also expose short forms depending on your plugin setup.

Install: Codex

Register the marketplace:

codex plugin marketplace add ivankuznetsov/agent-plugins

Then open Codex, run /plugins, select the aikuznetsov-marketplace marketplace, and install llm-wiki.

After restarting Codex, invoke the skills using the namespace shown by /skills. The expected form is:

$llm-wiki:bootstrap-wiki
$llm-wiki:wiki-researcher
$llm-wiki:wiki-plan

If Codex displays a fully qualified marketplace namespace, use that displayed name.

Usage Examples

Bootstrap a wiki in the current project:

$llm-wiki:bootstrap-wiki

Research past project knowledge before coding:

$llm-wiki:wiki-researcher auth flow refactor

Plan with wiki context first:

$llm-wiki:wiki-plan add billing reminders

What It Creates

The bootstrap workflow creates a project-local knowledge base:

wiki/
  index.md          # catalog of pages
  log.md            # append-only wiki changelog
  gaps.md           # open questions and missing coverage
  architecture.md   # high-level system structure
  decisions.md      # lightweight ADRs
  dependencies.md   # important dependency choices
raw/
  notes/            # manually added source material

It adapts page names to the project. A Rails app might get models/controllers/services pages; a frontend app might get components/hooks/stores pages; a CLI might get commands/modules pages.

How wiki-plan Works

wiki-plan always does wiki research before planning:

  1. Search the current project's wiki.
  2. Search the cross-project master wiki.
  3. Read relevant decisions, patterns, gaps, and gotchas.
  4. Produce a Past Knowledge section.
  5. Delegate to Compound Engineering planning when installed, or produce a standalone plan outline.

This keeps plans grounded in what already happened instead of rediscovering the codebase from scratch.

QMD

QMD is preferred for semantic and lexical search, but it is optional. During bootstrap, llm-wiki checks for qmd; if it is missing, it suggests installing it with npm install -g @tobilu/qmd or bun install -g @tobilu/qmd, then lets you either install QMD or continue with the rg fallback. The workflows fall back to the qmd CLI when MCP tools are unavailable, and then to rg over wiki/ and ~/wikis/master/wiki/ when QMD is unavailable.

Compound Engineering

wiki-plan delegates to Compound Engineering planning when the compound-engineering:ce-plan skill is installed. Without Compound Engineering, it still produces the Past Knowledge section and continues with a standalone implementation planning outline.

Limits

  • llm-wiki does not invent documentation. It reads source files and records uncertainty in wiki/gaps.md.
  • QMD is optional, but semantic search is better when QMD is installed and indexed.
  • Agent hooks differ between Claude Code and Codex. The bootstrap skill adds only the instructions and hooks that the current tool supports.
  • The first bootstrap pass is intentionally broad. Review wiki/gaps.md afterward to decide what deserves deeper documentation.