AI tool

Clusy is an agent-native notebook platform for ML and data science work in the cloud. The page says it can source data, inspect it, choose architecture and compute, and run end-to-end workflows, with a demo showing a finetuning task and follow-up work queued while the notebook runs.

Katra is an open-source, self-hosted cognitive memory system for AI agents with MCP support. The repo describes episodic recall, semantic search, knowledge graphs, temporal analysis, and Docker-based deployment for MCP-compatible agents.

A DeepSeek paper about DSpark, a full-stack codebase for training and evaluating speculative decoding algorithms to speed up LLM inference.

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.

A research write-up about a system that tracks Reddit stock chatter, replays LLM buy/hold/sell calls, and compares them with later price moves and simple baselines.

A crowdsourced benchmark that asks users to upload photos without obvious toilet signs and label where they would go to find the restroom, aiming to test whether AI can handle this kind of real-world visual inference.

A research writeup from AgentSploit analyzing 1,384 tools across 28 MCP servers, highlighting how tool descriptions, source tools, and sink tools create an attack surface for agents.

A detailed benchmark-style article comparing Claude Code’s single-agent and multi-agent /code-review modes on hard pull requests, with measured cost, latency, and issue-detection results, plus a comparison to Quickchat Review.

A GitHub repository that provides a boilerplate for running Claude Code in a containerized, rule-driven software factory setup. It includes a sandboxed container, a command regulator, lint-based feedback hooks, and a workflow/orchestrator system for multi-agent task execution.

MIKE is an integrated Kanban environment and LLM harness for software development work, with gVisor-based sandbox isolation, custom extensions, and support for llama.cpp and OpenAI-compatible inference providers.

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.