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 - [Zenable](https://zenable.io/) — AI guardrails that learn your team's standards and ensure coding agents follow them, maximizing speed and quality.
 - [pi-steering-hooks](https://github.com/samfoy/pi-steering-hooks) — Deterministic before-tool-call guardrails for the pi coding agent. Enforces rules (no force push, conventional commits, etc.) via regex pattern matching on tool inputs — zero tokens, 100% reliable. Custom rules via JSON config with override escape hatch.
 - [Gestalt](https://github.com/dwgoldie/gestalt) — Model-agnostic thinking protocol (AGENTS.md) that shapes how AI coding agents reason. Less filler, more substance, honest about limits. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI.
+- [Nex](https://github.com/nex-crm/nex-as-a-skill) — Organizational context and memory for AI agents. Connects email, Slack, CRM, and 100+ tools into one knowledge graph with a 60-tool MCP server and persistent memory across agent sessions.
 - [Agentify](https://github.com/koriyoshi2041/agentify) — CLI tool that transforms any OpenAPI spec into 9 agent interface formats (MCP server, AGENTS.md, CLAUDE.md, .cursorrules, Skills, llms.txt, GEMINI.md, A2A Card, CLI) with a single command. Tiered generation strategies for small to large APIs.
 - [skill-optimizer](https://github.com/fastxyz/skill-optimizer) — CLI that benchmarks SDK, CLI, and MCP guidance docs (SKILL.md) against multiple LLMs and runs an iterative optimizer to rewrite them until every configured model meets a score floor.
 - [KubeStellar Console kc-agent](https://github.com/kubestellar/console) — MCP server that bridges AI coding agents (Claude Code, Copilot, Codex) to multi-cluster Kubernetes APIs. Enables natural language queries across clusters, workload placement, policy enforcement, and real-time observability. CNCF Sandbox project.