Top DEVELOPER-TOOL GitHub Repositories & Tools (2026)

Laminar - open-source observability platform purpose-built for AI agents. YC S24.

Local-first CLI for defining and running your project's workflows.

🩺⚡ Runtime Doctrine ORM analysis integrated into Symfony Web Profiler. Detect N+1 queries, security vulnerabilities, and performance issues during query execution.

DevOps secrets base: lightweight, self-hosted secrets manager in a single file

The open source, no-code MCP Server for AI-Native API Access

DialKit is a SwiftUI package for editing and previewing interface updates live

A CLI that turns a goal into a pull request - and a sandbox for testing concurrent AI coding agents on the Mozaik runtime.

Self-hosted notification infrastructure for product notifications. One API call handles email, SMS, push, and webhooks, with preferences, quiet hours, retries, fallback, scheduling, workflows, and delivery logs built in.

AI-powered README generator for GitHub. Paste a repo URL and instantly create a professional, well-structured README.md file.

Switch between Claude Code accounts and clear developer caches, from the macOS menu bar.

macOS accessibility inspector for AI-agent workflows. Hover, annotate, copy structured output.

MCP server for Final Cut Pro XML. Lets Claude read, edit and generate real timelines: cut detection, markers, roles, transcript-based editing. Published on PyPI as fcp-mcp-server.

Chat, specs, tasks, and code. An autonomous engineering platform. Full autonomy when you trust it. Full control when you don't.

Turn a goal into a supervised run.

One AI agent, everywhere you work — terminal, desktop, mobile, and your chat apps. Rust core.

Local-first agent platform: board + role agents + agent CLI runs (Claude Code, Cursor, Antigravity, OpenCode) or local and API models (Ollama, LM Studio), all on your own Mac

Lightweight Codex/Claude loop harness with strict evidence gates.

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

Full AI context and content layer for coding agents over one MCP server — tree-sitter code-map, document RAG, shared memory, multi-agent comms, web crawl, git history + blame. 300+ languages, 10+ agent harnesses, pure Rust.

You already have the agent. This is everything around it. great_cto runs Claude Code as a pipeline of 70 specialist agents — an independent model checks each stage before the next builds on it, spending caps refuse rather than warn, and three decisions stay yours: what gets built, how, and whether it ships.