The IM for agents. Shared Agent Context & Memory, supervised execution, and cross-agent audit across AI providers.

AI plugin to enhance and accelerate Flutter & Dart development, built by Very Good Ventures

PRB's collection of agent skills

CLI and telemetry system for querying local, CI, and production runtime data.

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

AI agent security scanner. Detect vulnerabilities in agent configurations, MCP servers, and tool permissions. Available as CLI, GitHub Action, ECC plugin, and GitHub App integration. 🛡️

Open-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, unlimited context - on Pydantic AI, any model.

OmO: Just type "mass ulw" keyword with your prompt. Now you are the master of graph engineering.

MCP Server Framework and Tool Development library for building custom capabilities into agents.

Goal-based planning and proof gate for AI coding agents

Graph-based long-term memory skill for AI (LLM) coding agents — faster context, fewer tokens, safer refactors

Multi-agent codebase review for PRs, CI, and downstream fork syncs.

Ghost Security's collection of AppSec skills for AI coding agents

Governance framework for AI coding agents. It runs them through a five-step workflow (plan, build, review, test, ship) where no step counts as done without evidence. Drop-in rules and guardrails for Claude Code, Codex, Cursor, Copilot, and Antigravity, via AGENTS.md.

817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0

Natural Context Provider (NCP). Your MCPs, supercharged. Find any tool instantly, load on demand, run on schedule, ready for any client. Smart loading saves tokens and energy.

humanizer, but for code — an agent skill that removes AI-generated code slop: duplicated helpers, try-import fallbacks, broad excepts, speculative abstractions. Test-gated, behavior-preserving.

GitHub Agentic Workflows

Unified AI Development Framework - BMAD phases with Ralph execution loop

Production-grade engineering skills for AI coding agents.

Forge Orchestrator: Multi-AI task orchestration. File locking, knowledge capture, drift detection. Rust.

Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.

AI agents can generate code, but they still struggle to understand what they build. Reticle gives them runtime perception of web & desktop applications.

The AI toolkit for building reliable browser automations