Top DEVELOPER-TOOLS GitHub Repositories & Tools (2026)

A live database structure viewer for Laravel that renders your schema as a scrollable, zoomable ER diagram. Structure only, never data.

SharpConsoleUI — A reactive terminal UI framework for .NET with a robust async model, per-window threads, a real compositor engine, 30+ controls, and NativeAOT support.

Local dashboards and physical controls for AI coding agents — native 3D aquariums, Stream Deck, Apple/Android apps, e-ink, ESP32 and LED displays.

Python's dir() for humans.

Keyty - modern open-source keyboard and mouse visualizer for macOS

One desktop for all your AI coding Agent — Claude Code, Codex CLI & Gemini CLI. Auto-detect, one-click install, unified chat, file explorer, terminal & editor. Local-first. Built with Tauri + Rust + Vue 3.

Secure agents in seconds with permissions enforced at runtime.

language-agnostic program reducer.

Terraform provider for New Relic

Define durable workflows in YAML, powered by Temporal

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.

A GUI tool that allows you to validate the text encoding of one or more files. Modified from https://encodingchecker.codeplex.com/

A native Rust terminal interface for Claude Code

lnwjud — local AI-agent runtime & MCP gateway

Fast, free local checks to reduce your token burn. Helps you avoid limits by checking for: sessions too deep, models too powerful, caching broken, unused tools/MCPs/skills, and many more.

Ultra-fast token & cost tracker for LLM Token Usage (e.g. Claude Code)

Jarvis for your coding agents — the voice layer for Claude Code, Codex, OpenClaw, Hermes & any AI workflow. Your agent speaks; you talk back hands-free.

Where terminal agents work together. Claude Code, Codex, Copilot CLI and pi on the same task, in one mission, each keeping its own TUI in a real terminal.

Context intelligence layer for LLM agents: persistent memory with write-time dedup, sensitivity tagging, conflict detection, and hierarchical decay. ~12ms. No LLM calls. MIT.

Zero-knowledge credentials infrastructure built for AI agents to operate, not just consume.