Unified execution environment for Python code, shell commands, and programmatic MCP tool calls.

Use cultivar to test your Agent Skills, run them in sandboxes, and across different agents.

All my YouTube tutorials. Everything here is free - but please follow me on YouTube if you find these helpful.

A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.

A self-hosted sandbox for red teams to test payloads against modern detection before deployment. MCP integration lets an LLM agent drive analysis end to end.

Multi-Agent works on native GUI desktop. Supports skills and IM channel, build-in a IDE for light development. Built on the shared piscis-engine kernel.

Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support

turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.

Samurai-inspired multi-agent system for Claude Code. Orchestrate parallel AI tasks via tmux with shogun → karo → ashigaru hierarchy.

Durable single-Agent Harness for TypeScript: recoverable Threads, context continuity, explicit side effects, and a native TUI.

Open-World Self-Evolution for LLM Agents — agents that build both their skills and their own verification signals from scratch, with no target-task supervision. (Code coming soon.)

let any ai agent use the local browser

Better subagent experience for Codex and Claude users

Protocol-layer harness for DeepSeek: Python witness stack — posterior verification that keeps the protocol honest. dsh doctor --node probes included.

The system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation improves the next.

A system monitoring tool that exposes system metrics via the Model Context Protocol (MCP). This tool allows LLMs to retrieve real-time system information through an MCP-compatible interface.

Browser automation MCP server for Claude, powered by Puppeteer.

a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task

Anti-detect browser automation CLI & Skills for AI agents — Camoufox-powered fingerprint spoofing, no bot-detectable Playwright leaks

A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability

Sega Master System / Game Gear / SG-1000 emulator, debugger and embedded MCP server for macOS, Windows, Linux, BSD and RetroArch.

Security testing toolkit for AI Agent: curated SecLists wordlists, injection payloads, and expert agents for authorized pentesting, CTFs, and bug bounties

Game Boy / Game Boy Color / Super Game Boy emulator, debugger and embedded MCP server for macOS, Windows, Linux, BSD and RetroArch.

🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support