AI tool

A GitHub repository for starting, watching, and stopping a Claude Code session on a Windows PC from a phone over Tailscale. The README explains the architecture, setup steps, requirements, and security tradeoffs in detail.

An open-source browser extension for creating and managing userscripts by chatting with an LLM. It inspects the current page, writes and tests scripts live, supports multiple model providers, and can export, import, and run mods across supported browsers.

A detailed technical post about IronBee Express and its browser-agent architecture, showing how Jev is used for fast, low-cost step selection and when an LLM takes over.

Project-local MCP server that lets existing agents discover each other, share status, and exchange durable direct messages with explicit acknowledgement.

A tiny programming language for AI agents that bakes in permissions, bounded retries, verification, and a tamper-evident audit log.

An MCP server that converts public URLs into clean Markdown for AI agents and MCP-compatible clients. The repo includes setup instructions, a usage example, a direct API option, and notes on supported clients like Claude Desktop and Cursor.

A repo for keeping coding agents from overengineering by injecting a ruleset during coding and running a slop-check after edits. It supports multiple agent setups, including Claude Code, Codex, OpenCode, Cursor, Copilot, and generic AGENTS.md-based workflows.

A command-line tool that sends fake RFC 3464 bounce messages to make spam senders think an address does not exist. The README explains the workflow, configuration, batch mode, multiple-account handling, and provider-specific caveats.

Kodama is a portable, provider-neutral multi-agent pack for the Kiro CLI. It ships one orchestrator plus eight specialist agents, with install options for Kiro Crew or standalone use, and includes CLI commands for memory, health checks, updates, and uninstall.

Open-source terminal app for multi-agent coding that lets one lead agent coordinate a team, manage worktrees, and keep the user in one thread.

Hotpath records an AI agent run once, compiles the trace into an editable workflow, and replays it with only the judgment-heavy steps still using an LLM.

Open-weight System One model for machine-intuition style judgment tasks, built on a T5Gemma 2 encoder-decoder base. The page shows what the model does, how it is used in Python and via CLI/HTTP API, and includes benchmark and example sections.

Shopify documentation for browser-based AI agents to read, update, and complete checkout flows in the buyer’s browser using WebMCP.

Read-only Postgres MCP server that adds schema context files for more accurate agent answers and supports agents writing back table notes.

RTSP stream simulator for developers and AI teams to test computer vision, video analytics, and VMS integrations using MP4 files instead of physical cameras.

Open-source staff scheduling platform with a native MCP server so AI agents can search candidates, create assignments, manage shifts, and handle staffing requests.

A llama.cpp fork that adds a JEV-compatible decision API for Choice, Score, and Noul evaluations while keeping standard LLM inference support.

Open-source, self-hosted platform for running managed AI agents like Claude Code, Codex, Hermes, DeepSeek Harness, and Pi on infrastructure you control.

Open-source demo for recognizing hand-object manipulation stages in everyday video, with installation steps, run commands, and a short explanation of the pipeline.

OpenAPPA is an open-source deterministic guardrail and information-flow policy engine for LLM agents. The page describes flow-based security labeling, CI validation, remedy plans, sanitizers, authorities, and subagents, with links to docs, GitHub, Discord, and benchmark claims.

A Vercel article showing how to use GPT-6 Sol with the AI SDK evaluation API to assess draft replies, score evidence-based answers, and read structured results in TypeScript.

AI code security scanner that reviews a repository, flags exploitable issues, and provides a scoped fix prompt for each finding.

Focal Prompt is an analysis lab for studying how prompts and prompt sections influence model behavior. It includes focus labeling, prospective and retrospective focus prediction, baseline output sampling, ablation tests, batch analysis, and an agent builder.

A LangGraph-based workflow that generates, benchmarks, validates, and iterates CUDA kernels using a C++/CUDA harness. It targets workload-specific optimization with support for NVIDIA research lookup and optional Nsight Compute profiling.