MCP Server Security Standard (MSSS): an open, testable security control standard for certifying MCP servers, with levels, evidence requirements, and reporting schemas.
Turn any repo into an agent-ready workspace for Claude Code, Codex, Cursor, and other coding agents.
Agentic coding framework powered by AGENTS.md: systematic, test-first workflows with quality gates for Cursor, Codex, Gemini CLI, and AI coding agents.

The multi-agent harness that checks the work: verifies agent runs by artifacts (stop-hook gates, independent judges, append-only event logs) across Claude Code, Codex, Cursor, and 10+ runtimes.
HAR: open agent harness (CLI + MCP) for coding agents. Isolated worktrees, deterministic verify, software factory workflows for Claude Code, Cursor, and Codex.
A structured 3-agent AI dev team — Architect, Builder, Reviewer. Built from production use. Token-optimized. Works with Claude Code, VS Code, Cursor, and any AI that supports context files.
Mention any ACP coding agent from Slack, GitHub, GitLab, Linear, or Lark. OpenTag runs Claude Code, Codex, Cursor and more on your own machine, then replies in-thread with verified, evidence-backed results.
Método jurídico aberto e executável por agentes de IA: base curada de STF/STJ, legislação, súmulas, temas e teses; 10 protocolos e motores locais. Fontes verificáveis, casos privados. Claude Code · Codex · MIT.
One config to rule all your AI agents: portable (every project, every session), effective (curated writing, routing, skills), and safer (destructive-command guard).
A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.
Prismer Cloud
Your AI Chief of Staff — a personal operating system starter kit that adapts to your role. No coding required.
The open-source company brain. Run your entire company with AI agents, skills, and a self-improving context.
Agentic personal OS to automate high-leverage workflows with Codex, Claude Code, Pi, OpenClaw and other coding agents/ runtime platforms.
Run a task with AI as a flow of steps you keep, reuse, and refine, not a one-off chat.
Headless product design for AI coding agents, backed by a transactional product graph | Design how it works, verify what you ship.
Multi-agent orchestration for AI coding CLIs — Claude Code, Kiro, Codex, and more, coordinated in isolated tmux sessions

MCP Playbooks for AI agents
A kit for building with AI agents and also the engineering patterns around it.
An Orchestrate multiple coding agent desktop app
Containment for AI agents - user isolation, sandboxed execution, network controls, backup/rollback. TLA+ verified.
Protocol-layer harness for DeepSeek: Python witness stack — posterior verification that keeps the protocol honest. dsh doctor --node probes included.
a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task
AI-powered cascading development framework. Decompose complex projects into parallel executable tasks with auto-generated PRDs, design docs, and multi-agent collaboration (Claude Code, Codex, Aider).