— · MIT
Rove — the agent multiplexer for your terminal. Run coding agents on parallel tasks with isolated worktrees and persistent sessions.
v1.11.1 · MIT
Local-first agent plan annotator
— · MIT
ตอบสั้นๆ ก็เข้าใจแบบพอดีๆ
— · MIT
A Swift library for macOS automation — mouse, keyboard, screenshots, image recognition, and AI-powered agents.
v0.23.2 · MIT
Import conversation history from 25+ AI coding agents into DeepSeek Harness as resumable sessions — tool calls, reasoning and results kept intact, with reverse export. | 把 25+ AI 编程 Agent 的聊天记录导入 DeepSeek Harness 继续对话,保留工具调用、推理与结果,支持反向导出。
v0.7.0 · MIT
Tu equipo de desarrolladores en un plugin. 10 agentes, 11 skills planas, 18 comandos /alfred-dev:*. Memoria persistente, quality gates con evidencia y MCP local.
— · MIT
Research-grade investment decision engine for AI agents: isolated multi-agent committee, auditable verdicts, backtests with lookahead protection, published negative results
v5.282.2 · Apache-2.0
Open-source coding-agent harness you can actually change — own the loop (prompts, gates, routing, skills, terminal states), use any model, run long tasks while you're away.
v2.0.4 · MIT
Research that compiles.
v3.3.0 · MIT
레트로 게임 한글 패치 제작 전 파이프라인 에이전트 스킬 · Agent skill for end-to-end Korean (Hangul) fan-translation patches for retro games
v0.1.0 · MIT
Air traffic control discipline for agent output. Written for a reader with ADHD.
— · Apache-2.0
Wenlan is a knowledge base for the AI-native age. Your AI agents capture what they learn, Wenlan keeps it current and distills it into source-cited wiki pages you can trust
— · MIT
WorkOS Skills for AI coding agents — AuthKit, SSO, Directory Sync, RBAC, and more
v1.17.2 · MIT
One session. Two commands. Full team. Zero meetings.
— · MIT
Skills for agentic coding CLIs: output you can ship with minimal review, on work you can tell was worth doing.
v2.0.6 · Apache-2.0
Official Pulumi Agent Skills for writing, migrating, and operating infrastructure with AI coding agents
v0.11.0 · MIT
Builds up to a goal in a field you have no expertise in: splits it into the foundations that goal actually needs, mobilizes what you already hold, learns what is missing, and leaves every solved path behind for the next goal. Nothing is called done until a check passes.
v0.9.2 · MIT
Turn a video — or an animated GIF, APNG, or WebP — into a timeline of still frames so an LLM can "watch" it as a series of images.
— · MIT
Make Claude happy. Give it Honcho.
v4.17.0 · MIT
A high-performance CLI tool and visualization dashboard for tracking AI coding assistant token usage and costs across multiple platforms.
v0.0.13 · Apache-2.0
Stop AI agents from doing things you didn't ask for.
v0.22.0 · MIT
Idea-to-store harness for Flutter/Flame games
v0.26.0 · MIT
Forecast what will happen, including outcomes of your decisions.
v3.26.5 · MIT
Plug-in vision for text-only LLMs, powered by the free Antigravity CLI