Havuz

Design systems, skills and visuals for coding agents

Create reusable bots powered by Claude Code, Codex, or OpenCode. Run them locally across your repositories with persistent threads and permi

Automated quality checks that nudge AI coding agents toward better habits

The first exam for code agents in the physical world: frozen robot tasks from many benchmark suites, each answered with a program and verifi

The why layer of repo-native project memory: the reasoning behind a codebase as Markdown in the repo, versioned by Git, for coding agents an

Talk to Claude Code and Codex by voice, from your phone, on any of your machines. The open-source box agent for pitupitu.chat; your agents r

Runtime evidence that helps agents trace, profile, and burn down hotspots in application and native code, GPU kernels, and inference stacks.

A Claude Code mod that puts a live agent dashboard in your terminal: context and cost, advisor timeline, every permission check, subagent ca

Shared standards and reusable skills for Claude Code, Codex CLI, and other AI coding agents.

The most expensive bug in AI-assisted building is shipping the wrong thing, well. A drop-in CLAUDE.md / AGENTS.md for PM + eng teams using C

Asynchronous Pi subagents and agent fleet orchestration for parallel coding agents with nested delegation, background work, and supervision

Local, open-source (Apache 2.0) voice layer for Claude Code and Codex on macOS that reads your coding agent's progress aloud. Kokoro text-to

Multi-agent task orchestration for coding agents. Turn one goal into an ordered plan of tasks (each with its own runner, model and mode), th

Pandoc for AI chats. Move ai chats across harnesses: Claude Code, Codex, OpenCode, Cursor, and more. Rust library, CLI, and WASM.

Design cognition loop for Codex, Claude Code, and Pi-compatible agents — frame, diverge, see, reframe

Git-native memory for coding agents. Repo memory before the diff.

从需求澄清到可信交付的 Agent 编程 Harness 工程框架

Ten Engines. One local-first Harness OS.

Planning → verifiable goals → fresh-session implementation for AI coding agents. Based on mattpocock/skills v1.1.

Component layer for AI agents: implementation-aware contracts for building project-native interface components.

A local desktop control center for organizing Codex projects, engineering tasks, sessions, Git changes, Skills, and MCP configuration.

Bug Hunt Bench: 105 real bugs in two production repos, frontier coding models (GPT-6, Claude, Grok, Gemini, DeepSeek...) find and fix them i

Desktop-first, open-source (MIT) application for running parallel agents, and multi-step custom workflows triggered by schedules, webhooks o

Reusable Agent Skills, plus integrations (statusline, provider usage, vision) that install into Codex, Claude Code, and opencode.

Source-backed feature comparison of memory systems for AI coding agents. No affiliation, no marketing — just facts from public docs.

Where you direct your coding agents: start a job with a chat, watch them work in sandboxes, and approve what matters with the evidence.

Rails MCP server: stop AI coding agents from guessing your app. A Ruby gem with 35 read-only tools that give Claude Code, Cursor, GitHub Cop

A kanban board for coordinating multiple AI coding agents, with isolated git worktrees and independent reviewer agents.

Boring Is All You Need: a Codex Desktop workflow replacement with transactional migration, audit-only managed hooks, risk-based review, scop

Global instructions for coding agents: evidence, parallelization, validation, all in one AGENTS.md / CLAUDE.md

Migrate coding agent sessions across 18 harnesses (Claude Code, Codex, Pi, OpenCode, Copilot, Antigravity, Vibe, Muse, Qwen, Kimi, Cursor, e

A personal VM cloud in one Go binary: persistent Linux VMs on macOS, Linux and Windows, AI coding agents working inside them, any port publi

Local AI for Omarchy: the model validated for your GPU, one button on the bar. Start serves it, any coding agent opens on it, one click shar

Coverage, security and code quality for coding agents

Grix : Work with agents like talking to people.

Playwright for coding agents. Test that your skills, MCP servers, and CLIs actually work when an agent uses them — sandboxed YAML suites, A/

Moved to github.com/davidondrej/cloudroom

Understand what your codebase builds, why it is structured that way, and what a change could affect. One shared Markdown ontology for human

One IDE for you and your AI team. A VS Code fork where Claude Code, Codex, Antigravity, and Muse Code work in parallel across multiple proje

Native Windows Bash for AI coding agents. Run Claude Code, Codex, opencode & Gemini CLI without Git Bash, MSYS2 or WSL. Built in Rust, with

Android Harness AI Coding Agent Native app for mobile, No Root No PC

Code intelligence for agents: find the code that matters and keep your context window and tokens lean.

Behavioral eval lab (Quorum) for the superpowers project that drives real coding-agent CLIs (Claude, Codex, Gemini, Kimi, and more) through

jevmem saves the decisions, rules and failed approaches from your Claude Code chats to JEVMEM.md in your repo, and brings the relevant ones

Deletion-first Agent Skill for removing test bloat, verification theater, and speculative fallbacks while preserving behavior.

Mission control for AI coding agents. Watch Claude Code, Codex, Gemini and a dozen more work live in one macOS terminal: live status, an edi

MCP server + CLI that puts a real human in your coding agent's loop. It publishes work mid-task, a reviewer pins what's wrong and returns a

Same model, different wrapper: a from-scratch benchmark comparing coding-agent harnesses (codex, pi, opencode, cursor, devin) and open model

Find related issues, competing changes, and unresolved follow-ups before you start work.

Goal-based planning and proof gate for AI coding agents