A human-governed AI coding workflow that distills ephemeral session context into persistent project memory—making work traceable, reviewable, and resumable.

Causal memory layer for AI agents — MCP server that records decision→outcome relationships. Survives compaction.

Jira toolkit for terminals, coding assistants, and bots.

Turn your data into interactive dashboards inside any AI client - MCP Apps powered

An MCP server for parallel browser automation by AI agents with multiple cloud providers

🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman

Peekaboo is a macOS CLI & optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI models.

AI-powered bug bounty hunting toolkit that works with or without subscription.

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

Official Microsoft Learn MCP Server and CLI tool – powering LLMs and AI agents with real-time, trusted Microsoft docs & code samples.

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

Methodology for faithfully cloning any website (static / React / WebGL) — without copying AI-hallucinated code. Real source first.

Discover and compare open-source Agent Skills, tools & MCP servers — with quality scoring, trending analysis, and automated GitHub sync

Turn tracker tickets into autonomous agent sessions

One folder. Every session knows where you left off. — An open-source methodology for AI-assisted projects.

🐙 ADLC Team Skills — Agentic SDLC for Engineering Teams

Helping the Agents Compose the Things

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.)

Claude Code skills for Bria AI - generate, edit, and transform images with Fibo, RMBG-2.0, and VGL structured prompts

Open-source email infrastructure for AI agents.

🤖🤮 Hate the yuck codes that agents generated? Try `alint`, a ESLint like toolchain for intent driven code check, freeze your skills, AGENTS.md to lint rules

MCP server with local vector search for your codebase. Smart indexing, semantic search, Git history — all offline.

Tools for AI agents to test, fix and optimise your codebase

Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale