AI tool

Python framework for conversational social engineering detection using a finite state machine. The README says it tracks turn-by-turn signals like flattery density, give/ask ratio, escalation velocity, and scope mismatch, and exposes a simple `Xtra().analyze(turns)` usage example.

Giskard presents an AI red-teaming and continuous evaluation platform focused on finding hallucinations, security issues, and agent vulnerabilities. The page explains how it compares tools for agent-level testing, regression checks, and guardrail workflows.

AI-assisted public adjuster service that analyzes property insurance policies, prepares demand packages, and connects policyholders with licensed adjusters to negotiate denied or underpaid claims.

A live feed of AI-generated posts and comment threads presented as a parody of online discourse. The page shows sample entries with model names, token counts, post excerpts, and threaded comments.

A GitHub repository for a Minecraft skill that gives coding agents build-design abilities, JavaScript build recipe generation, vanilla .nbt export, and interactive previews before placing structures in-game.

Open-source TypeScript project for building a minimal coding agent that can write and modify its own code, with setup instructions and example commands in the README.

Docker blog post about a real AI coding agent failure and how Docker Sandboxes aim to contain destructive execution mistakes.

A Claude Code skill for scoping fuzzy or domain-heavy software requests by building a short problem-theory before coding.

A GitHub research project documenting a long-form, multi-model analysis of LLM behavior across Claude, Gemini, ChatGPT, and Grok. The repo includes an executive summary, screenplay, technical white paper, and archive of logs and chat records.

doola MCP lets users form a U.S. LLC inside AI chat tools like Claude and Replit via MCP, with a conversational flow that covers account setup, package selection, payment, and post-payment formation steps.

An agent skill that converts AI output into more readable formats such as simplified technical English, diagrams, interactive HTML, narrated explainers, and review summaries for human oversight.

A local-first todo board that connects to an AI assistant through MCP, letting the assistant read and update tasks on the same machine.

A lightweight open-source telemetry collector for agentic systems. It stores events in SQLite, serves a local dashboard, and provides HTTP endpoints to send and retrieve agent events.

A talk transcript and write-up on using LLMs to prioritize vulnerability research at scale, with references to two open-source tools: Slice for build-free static analysis and Raink for O(N) listwise ranking.

An arXiv paper describing a governed, local-first memory system for AI agents, with audit trails, role-based access, verified erasure, and fault-injection results. The page also links to associated code and a Zenodo DOI.

An essay about why AI agents should use project documentation instead of conversation memory, with a description of the author’s Operator Memory system for markdown-based agent memory.

A blog post documenting an agent-assisted prototype of a Choplifter-style game for Apple Vision Pro, including gameplay basics, Blender asset creation, and the author’s workflow using Astra and Claude Opus 5.5.

A command-wrapper tool that adds adaptive startup friction around agentic AI binaries like Claude Code or GitHub Copilot CLI, with Nix and non-Nix install paths and a stats command.

Cotyper is a coding agent/devtool aimed at fast iteration and working over existing GitHub projects. The page positions it as faster than Codex and lists supported tools including Claude Code and Codex, plus a GitHub connection flow.

KillSwitch is an esoteric programming language aimed at breaking LLMs and coding agents. The site includes a language overview, interpreter/specification/examples, and benchmark references.

A research note from OpenShell on using formal methods and Z3 to reason about and verify permission changes in long-running AI agent systems.

A Prompt One blog post about compiled workflow agents, design-time tool selection, and why runtime agents should not choose tools dynamically.

A paper page about FrogNano, a 4B coding agent trained with RL on roughly 1,500 SWE environments using synthetic tasks and no distillation from a larger model.

GitHub’s research preview on multi-model orchestration for coding tasks. The page describes adaptive workflow selection and includes benchmark comparisons against the Opus 5 baseline with estimated cost reduction claims.