🧑‍🎨 A collection of Golang agentic skills that works

AI Agent Skills for idiomatic, production-ready Go code, distilled from Google, Uber, Community

Transform any Cobra CLI into an MCP server

Non-Invasive goroutine inspector

An MCP ( Model Context Protocol ) Server for Grafana Loki

🔒 MCP gateway with a built-in skill library.

MCP Server for Text to Speech

Persistent, provider-neutral memory for Codex, Claude Code, OpenCode, Pi, and MCP coding agents.

Semantic Search & Call Graphs for AI Agents (100% Local)

Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations

Project Management for the agent era

File-based message queue for local agent-to-agent communication (Maildir-style)

Supercharge AI Agents, Safely

Policy guardrails for coding agents (Claude Code, Codex, Cursor) — every tool call is checked locally, before it runs.

Paste images into remote Claude Code & Codex CLI over SSH — clipboard bridging for macOS and Windows.

Local-first AI knowledge layer. Extract architecture, query from any AI tool via MCP. Private by architecture.

Shared context, memory, and task coordination across AI coding agents. Single Go binary, local SQLite, hybrid keyword and semantic search.

Monitor all your coding agents from one terminal - Claude Code, Cursor, OpenCode, pi and more

Your coding agent starts every session blank. Rekal is the memory your team is missing

AI Badger - Local-first tool that extracts focused repo context for any AI chat (Claude, ChatGPT, Grok, etc.) without wasting tokens on irrelevant files.

PostgreSQL ➕ REST, low-code, simplify and accelerate development, ⚡ instant, realtime, high-performance on any Postgres application, existing or new, MCP server

Claude Code rewritten in Go.. High-performance AI agent harness runtime in Go. MCP server, CLI tool orchestration, session management, Kiro integration. Single binary, zero dependencies.

CLI proxy that reduces LLM token usage by 60-90%. Declarative YAML filters for Claude Code, Cursor, Copilot, Gemini. rtk alternative in Go.

Cut context bloat in your AI-agent stack: find and safely prune unused skills, MCP servers and subagents from real transcript evidence