v5.1.0 · MIT
You say it. AutoCode ships it. 48 skills. Code to deployment in one session. I-Lang v5.0 judgment + secret-safe deploys. Free forever.
— · MIT
Audit and fix your Mac's security in one command. No agent, no signup, open source.
v0.1.0 · MIT
Multi-agent codebase review for PRs, CI, and downstream fork syncs.
v20.15.0 · Apache-2.0
Persistent session memory for AI coding agents that never leaves your machine — including the on-device model that reasons over it. Restores your prior decisions, open TODOs, and changed files across sessions; adds associative recall of related past work,
— · MIT
WorkOS Skills for AI coding agents — AuthKit, SSO, Directory Sync, RBAC, and more
v0.26.0 · MIT
A toolkit for frontier forecasting.
v1.0.0 · MIT
Distilly — Distill how they think into reusable Skills for any Agent or Bot. Formerly Colleague Skill(原同事 Skill).
— · MIT
Cut context bloat in your AI-agent stack: find and safely prune unused skills, MCP servers and subagents from real transcript evidence
v0.13.0 · MIT
MCP server for AI image generation
v0.2.0 · MIT
Deploy static websites from AI agents. Start with the hosted endpoint at mcp.shipstatic.com — no install, no signup, no API key — or install this package to deploy folders from your own machine. The same fifteen tools either way.
— · 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
v1.2.0-beta.2 · MIT
Your personal AI runtime, local-first. Patchwork OS gives any AI model a consistent set of tools, YAML recipes, a delegation policy with approval queue, and a durable trace memory — all on your machine, all under your policy.
— · Apache-2.0
Agentic Software Engineering (ASE)
v2.3.0 · AGPL-3.0
Vestige gives AI agents sharp memory: a local-first Rust MCP server that reaches backward through time to find the quiet change, decision, or service that caused today’s failure, not the lookalike.
v1.0.0 · MIT
Turn one topic into a finished Vox-style paper-collage explainer/ad video — automated end to end on Atlas Cloud + ffmpeg. An agent skill.
v1.5.0 · MIT
AI code reviews grounded in 12 classic engineering books — decay risk diagnostics with book citations, severity labels, and 6 analysis modes including full-sweep auto-fix
v3.3.0 · MIT
Local first, desktop companion platform with animated pets, plugin SDK and coding-agent integrations.
v2026.04.26.2 · MIT
Open-source deep research for AI agents: 40 channels, 10+ Chinese sources.
v1.7.3 · MIT
Backend for AI coding agents on CloudBase — database, auth, functions via Plugin, Skills & MCP.
v0.3.18 · Apache-2.0
:star: AI-assisted development workflow that produces understanding alongside code. Teach, capture decisions, document, assemble reviews.
v3.24.2 · MIT
Plug-in vision for text-only LLMs, powered by the free Antigravity CLI
— · MIT
🤫 Token-lean sessions at the harness level. An easy to grasp output style, output-shrinking hooks, and log compression cut both input and output tokens.
v0.15.1 · MIT
The agent runtime for React Native and Expo: an MCP server that sees the app the way React sees it, knows which file produced each element, acts without coordinates, and proves it works. Local only, zero dependencies.
v0.3.0 · MIT
Documentation memory for AI coding agents—route project knowledge, reduce repeated context loading, and validate living Markdown docs.