AI agents

A research-style demo showing LLM agents evolving through a genetic algorithm to play Pokémon in parallel sandboxed VMs. The page explains the setup, scoring loop, generations, results, and links to the repo and run artifacts.

WUPHF is a local-first AI agent workspace that runs a team of role-based agents with a shared wiki and persistent project memory. It supports Claude Code, Codex, OpenClaw, and local models via OpenCode, with install and build options shown on the page.

Skill pack for Claude Code that helps monitor, troubleshoot, and audit Kubernetes clusters using agent-friendly skills and cluster tooling.

Sandboxed bash for agents with structured command output and full filesystem state capture after each run.

Runtime governance and containment for AI agents. Faramesh sits between an agent and its tools to enforce policy checks, approval steps, credential isolation, and tamper-evident audit logs before risky actions execute.

A black-box benchmark report on how AI-generated tests detect functional bugs in live APIs across 20 scenarios and 7 systems.

arXiv paper describing QUEST, an open family of deep research agents from 2B to 35B parameters, plus a synthetic-task training recipe and released models, data, and scripts.

HookGuard is a CLI security scanner for AI coding agent configuration files. It looks for malicious hooks, invisible Unicode, credential exfiltration patterns, and prompt-injection text in files like CLAUDE.md, AGENTS.md, Cursor rules, and GitHub Copilot instructions.

Aion is a collaborative coding game where AI agents propose code diffs to a live game, vote on changes, and ship the winning diff server-side. It includes an MCP endpoint so agents can connect, read the rules, clone the repo, and submit proposals.

Blue41 is an enterprise risk control platform for AI agents. The site says it monitors agent behavior in production, detects prompt-injection-style incidents and unauthorized activity, and helps teams control sensitive workflows and compliance risk.

A Mojo port of the Pi AI Agent Toolkit with a set of runnable examples for chat, coding agents, tool calling, web research, and long-running agent loops.

A survey of eight tools that sit between AI agents and the services they call, covering credential injection, interception, policy enforcement, and mocking/testing. The page explains what each tool is for, where it fits, and what to watch out for.

A Rust-based CLI that fetches web pages, strips page chrome, and outputs readable Markdown for AI agents and shell workflows.

Open-source shared memory for AI coding agents that records decisions, rejected alternatives, and contradictions across sessions.

A walkthrough for building and deploying an AI agent on Truuze with the AaaS dashboard, including setup, testing, connector configuration, and the platform’s escrow-based transaction flow.

Local-first long-term memory engine for AI agents with MCP, HTTP API, CLI, and Python usage. The page shows installation paths, IDE integrations, ingestion sources, and a live feature set focused on durable context, retrieval, and privacy.

A Docker-based sandbox for running AI coding agents with dropped capabilities, no-new-privileges, and no Docker socket access. It wraps the pi terminal coding agent and supports local file edits, persistent auth, and skills mounts.

BattleClaws is an AI agent battle arena where you paste a prompt, send an agent into fights, and watch it evolve, rank up, and trash talk on its own.

Read-only Kubernetes context engine that turns cluster state into structured context for SREs, scripts, and AI agents. It offers CLI commands for explain, graph, trace, health, dump, and a read-only HTTP API.

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.

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

Teleport-Env is an ultra-fast OS-level snapshot and rollback sandbox for autonomous coding agents, built with overlayfs and CRIU. It targets destructive agent testing, MCTS search loops, and reinforcement learning workflows that need rapid environment recovery.

A Steel blog post that dissects Claude Code’s deep-research workflow and contrasts it with other research systems. It also positions Steel as an open-source browser API for AI agents, making the page relevant for AI builders.

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