AI tool

A free, Apple-notarized macOS menu-bar app that forces short rain-themed breaks while AI agents keep running in the background.

SlopGuard is a desktop Chrome extension that scans images on webpages for AI generation signals using local detection methods, including metadata, SynthID, and a visual classifier.

A GitHub Copilot port of Anthropic’s vulnerability discovery harness, with Copilot skills for threat modeling, scanning, triage, patching, and an autonomous sandboxed pipeline for C/C++ memory-safety bug discovery and remediation.

SecretSpec 0.12 adds audit logs and reason-required secret access for coding agents, with CLI, SDK, and config support.

Autolang is a scripting language and compiler for AI agent code, designed to run untrusted AI-written scripts in a controlled environment with restricted access to registered functions.

A post about TMA1 v2, a local observability and context-sharing tool for coding agents. It adds an MCP server, hook-based context injection, and cross-agent sharing between Claude Code and Codex.

A docs index page for Claude Code that maps the documentation structure and links to major sections like getting started, core concepts, tools, automation, and deployment.

A technical blog post about using devcontainer + Nix + Docker, plus small helper tools, to keep one reproducible dev environment working for humans, CI, and AI agents.

AIllowpages is an AI tools search engine with 2,500+ curated tools, category filters, instant search, and an AI helper that suggests tools from a user’s goal.

Open-source collection of AI agent skills for Kotlin projects, with skill naming guidance, installation options, and examples for Claude Code and Codex.

An experimental programming language and compiler designed for LLM-written code, with a Python-based toolchain that compiles to native macOS binaries. The repo also includes a full NES emulator written in Laze and usage examples for both the compiler and emulator.

Rapunzel is an open-source desktop app for managing agent sessions in a tree-style terminal interface. The README explains its purpose, install steps, launch commands, build instructions, and the core features: branchable terminal sessions, workspace persistence, and session management actions like rename, move, collap

An iPhone app that tests how much judgment you may be handing over to LLMs. It runs offline, keeps data on device, and gives users a calibration score plus a shareable result card.

Windows desktop chat client for OpenRouter with streaming completions, model browsing, multi-session history, local storage, and PySide6 UI.

An open-source desktop client for editing LLM context with a separate AI model, context maps, compression tools, and revision rollback.

A detailed technical write-up about training a 3.8B-parameter language model from scratch, including setup, throughput improvements, ablations, benchmarks, and cost/performance results.

A security-focused article about a Git configuration attack path affecting multiple AI coding agents, with concrete reproduction details and vendor response notes. It also introduces grith, described as an OS-level security proxy for AI coding agents.

A lightweight Markdown variant designed to reduce token usage for LLM consumption using single-character markers and context-aware parsing.

Ramanujan is a terminal-based multi-model agentic workbench for research in computational mathematics. It lets users chat normally, break down problems, survey literature, run parallel subagents, and produce a consolidated report with deterministic checking via SymPy and Z3.

A practical article explaining how to run AI models directly in the browser with Transformers.js, including setup, how it works, browser support, and example use cases like translation and grammar checking.

A governance framework for multi-agent AI systems, with agent lifecycle controls, memory, runtime hooks, and quick-start scaffolding for governed projects.

An interactive browser game where you hide from an AI agent that hunts you through the arena via WebMCP sensors. It includes controls, energy mechanics, and a demo round for solo play.

OpenAI’s model documentation page for the API, with navigation into model selection, pricing, reasoning, text and code, embeddings, moderation, and related developer docs.

A DeepMind technical report PDF about double-blind AI evaluations and confidentiality issues in AI safety research.