AI Coding Agents & Dev Tools
Agents that write, review and ship code — from terminal copilots to full autonomous engineers.
A macOS Dynamic Island for AI coding agents: Claude Code, Codex, Gemini CLI, Cursor, hooks, skills, and local agent management.
中文优先的 Vibe Coding / AI coding engineering workflow guide: specs, agents, worktrees, skills, CI, and review.
Mine your Claude Code and Codex logs into a local you.md agent profile.
One folder. Every session knows where you left off. — An open-source methodology for AI-assisted projects.
One file. Under 200 lines. Zero dependencies. It's a coding agent.
Git-native memory for coding agents. Repo memory before the diff.
Spec-driven autonomous engineering workflow for AI coding agents: recon → plan → build → validate → ship — with TDD, adversarial validation, and anti-slop quality gates. Packaged as a Kiro Power.
Open-source OpenAI Codex theming Skill, AI theme generator, and cross-platform runtime for custom Codex desktop themes.
Codex-first Ultracode skill for dynamic coding workflows
Godot-MCP — Model Context Protocol (MCP) integration for the Godot Engine. AI tools for the Godot Editor in C#, with cloud connection to ai-game.dev. Apache-2.0.
Local-first memory layer for AI coding agents. Captures issues, attempts, decisions, and cross-project library gotchas — your AI starts experienced, not amnesiac. Native MCP server verified across Claude Desktop, Cursor, Antigravity, and Codex. 100% local · no cloud · no telemetry · MIT.
Carbon Code 是一款类似 Claude Code 的代码开发工具，也是中国第一个基于 DeepSeek 的代码开发工具，Token 成本节省 90% 以上。它可以实现自动任务拆分、自动开发、MCP 测试，以及与 Claude、Codex 等多 Agent 协作，能力接近 Claude Sonnet 4.6
AI website cloner for rebuilding live websites with AI coding agents
AI Coding Agent Orchestrator 2026: Pro-Level Strategy & Review Framework
Top Free AI Developer Tools for 2026
Windsurf Cascade Bypass Methods 2026: Advanced Protobuf & MITM Exploit Repo
Advanced AI Code Strategy Advisor for Developer Agents (2026)
Open Source AI Expert Agent Bridge for Cursor 2026
A native Python agent CLI built on DeepAgents CLI, featuring an independent memory Agent that captures learnings after each task and delivers efficient AI coding assistance through hierarchical memory management.
Claude Code AI Pipeline 2026 – PEV Framework Harness Plugin for Developers
Best AI Coding Workflow Plugin Pipeline 2026
An AI coding agent that reads your code, edits files, runs commands, and reasons through bugs — across a terminal REPL, a full-screen TUI, and a browser UI, while you keep your hand on every permission.
Independently installable Pi Coding Agent extensions for AI coding workflows: LSP diagnostics/code actions for TypeScript, JavaScript, Python and more, Chrome DevTools automation, Firecrawl web scraping, Google GenAI/Gemini grounding, Codex tools, statuslines, subagents, and S3/R2 sync.
Uncensored AI coding agent in your terminal. Does the work, skips the sermon. 256K context, crypto-only billing, no card on file.
Fast, AI-agent-native code search in Rust — hybrid BM25 + semantic, Tree-sitter AST chunking, dependency & impact analysis. Drop-in replacement for grep/cat/read/ls in Claude Code, Codex, Cursor, Aider, OpenHands.
Claude Code–style dynamic workflows for Pi: code-mode subagents with real model routing, journaled resume, git-worktree isolation, cost accounting, an interactive /workflows TUI, an /ultracode standing opt-in, and deep research.
The token-efficient agentic coding workbench. Built for a future where every token counts — it optimizes token usage at the agent-loop level, saving 70%+ on long sessions, while planning, remembering your codebase, and shipping features in parallel from a single self-hosted binary.
OpenCode goal plugin for Codex-style goal mode, /goal slash commands, persistent objectives, and AI coding agent focus.
Keep one source of truth for your AI coding-agent rules. Convert and sync between AGENTS.md, CLAUDE.md, .cursorrules, Copilot, Windsurf, Cline, Aider & Gemini — or scaffold a fresh AGENTS.md. Zero dependencies.
Automatically completes the full workflow from requirement research → research review → planning → plan review → development → development review using → test AI large language models. Capable of autonomously handling medium to large-scale engineering projects.