#developer-tools

Autonomous Claude Code orchestration with persistent memory, self-coordinating agent orgs, and a codebase knowledge graph.

Debug DogStatsD metrics locally instead of polluting Datadog from your dev environment

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.

Track AI API quotas across Synthetic, Z.ai, Anthropic (Claude Code), Codex, GitHub Copilot & Antigravity in real time. Lightweight background daemon (<50MB RAM), SQLite storage, Material Design 3 dashboard. Zero telemetry.

One CLI to orchestrate them all. Manage a team of AI agents executing tasks in parallel from your terminal using a command line interface to manage them all. Manage a team of artificial intelligence agents who perform tasks in parallel from your terminal or offline on a local or server

Store, share, and resume AI coding sessions.

The agentic harness for AI coding agents — intelligence is rented, the harness is owned. Runs the full work cycle: intent briefs, bounded RAG context from real code intelligence, persistent memory, preventive guardrails, and performance evals. One CLI + MCP server, SQLite inside. Claude Code, Codex, Gemini CLI, Cursor & OpenCode.

One reliable canonical source for AI coding agent rules, commands, skills, MCP, hooks, and permissions — synced across AI coding assistants.

Deterministic standards for Python, TypeScript, SQL, IaC, and repository policy.

Semantica makes AI code provenance, attribution, and semantic lineage visible across commits, pull requests, and repositories.

You pick the model per task, with review, evidence, and a PR at the end.

Web-based mission control for running multiple AI coding agents (Claude Code, Codex, Gemini CLI, Aider) simultaneously — live dashboard, auto-approval rules, structured review queue

MCP server with 40 tools for AI agents. Memory, web fetch, search, file ops, screenshots, and multi-agent coordination in one Go binary.

Frontier AI video generation for coding agents - Seedance, Runway, Veo, Kling on your own keys, behind a hard cost cap. CLI + MCP.

♾️ Umbrella php package and unified CLI for the governed agentic-coding loop: board (kanban), learning, and recall-compiler.

Deterministic Stop-gate and code-graph context for AI coding agents: blocks only net-new findings and gives the loop a structural map of the codebase, locally, with no model in the gate.

Lightweight file-based CLI API client with age-encrypted secrets, first-class GraphQL support and MCP server for agentic workflow.

Type-check the TypeScript & JavaScript code in your Markdown against your real project — in your editor, the CLI, and CI.

Sub-100ms auth switching for AI coding CLIs (Claude Code, Codex, Gemini): swap subscription accounts instantly when you hit usage limits

Live DevTools for your running React + TanStack app — driven from the terminal by your AI agent, through one CLI

subagent-mcp is an MCP stdio server that turns an AI coding assistant (Claude Code, Codex, Gemini CLI) into a manager of local Claude and Codex sub-agents on macOS, Linux, and Windows.

orchcli — the KubeOrch CLI for initializing, deploying, and managing Kubernetes clusters from the terminal

Evidence-backed proof of done for Claude Code, Codex, Cursor, and other AI coding agents. Run real checks, bind results to current Git state, and know what is ready for human review.

CLI for managing AI agent squads. Status, memory, goals, feedback, and dashboard for your autonomous agents.

Portable workflow patterns for Agents. Ships my learned best practices as a plugin so I don't have to re-teach them every session.

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

CLI for streamlined spec-driven development

A local, GitHub-centric operating contract that makes a collection of independent repositories behave like one understandable, verifiably ready workspace for humans and coding agents.

Open-source compiler for AI agents. Write one crewhaus.yaml; compile it to a CLI, a Slack bot, and an eval harness from the same spec. Apache-2.0.

Find and fix what the MCP 2026-07-28 spec revision breaks in your server. 21 rules, 19 of them with fixers, and a readiness board.