English | 简体中文 | 繁體中文 | Español | Français | Bahasa Indonesia | 日本語 | 한국어 | Русский | Tiếng Việt Discord · X · WeChat / Feishu 🐈 nanobot is an ultra-lightweight, open-source, self-hosted personal AI agent framework written in Python. It runs in a WebUI, terminal, or chat apps and combines tools, long-term memory, MCP integrations, model routing, multi-agent delegation, scheduled automation, and an OpenAI-compatible API in a small, readable core.
A format specification for describing a visual identity to coding agents. DESIGN.md gives agents a persistent, structured understanding of a design system.
· Team Play · Technical Implementation · Benchmark English · 简体中文 --- Start all three services in one go (memory-core + memory-hub + proxy): Open the panel: http://localhost:8125. Complete installation documentation (standalone Memory Hub deployment, Proxy + Claude Code / CodeBuddy usage, stop and cleanup, port reference, etc.) is available in INSTALL.md (中文: INSTALLCN.md).
Transform vague prompts into expert-level, structured prompts using 31 frameworks across 7 intent categories. Works with Claude Code, ChatGPT, Gemini CLI, Cursor, GitHub Copilot, Windsurf, OpenAI Codex, and 30+ Agent Skills compatible tools.
A curated, community-driven list of awesome Model Context Protocol (MCP) servers, tools, frameworks, clients, and utilities. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations.
PM-Skills A curated library of 68 best-practice, plug-and-play product management skills covering the complete product lifecycle - plus templates, workflows, and 200+ real-world sample outputs that set the quality bar. The catalog is frozen at the v2.9.2 build; subsequent v2.9.x patches do not change the catalog.
The self-hosted AI agent runtime and multi-agent framework for autonomous agents. Open-source agent swarms with durable agent memory, MCP tools, skills, delegation, schedules, and 23+ LLM providers — a practical Claude Code and LangChain alternative.
Query MCP is an open-source MCP server that lets your IDE safely run SQL, manage schema changes, call the Supabase Management API, and use Auth Admin SDK — all with built-in safety controls. Getting started • Feature overview • Troubleshooting • Changelog Installing the server requires the following on your system: If you plan to install via uv, ensure it's installed.
🤖 Chat GPT Prompts A collection of 140+ amazing and useful prompts for GPT-3 This package extends the unofficial NodeJS Client for OpenAI's GPT-3 API. Make sure you have node >= 18 and have an OpenAI API Key that you can get here before you proceed.
Deep research has broken out as one of the most popular agent applications. This is a simple, configurable, fully open source deep research agent that works across many model providers, search tools, and MCP servers.
Agents, memory, tools, and identity that live on your Mac. Download for Mac · Docs · Models · Discord · Twitter · Plugin Registry --- Models are getting cheaper and more interchangeable by the day.
Build better enterprise architecture through structured strategy, design, delivery, and assurance workflows. The 13 community plugins (arckit-uae, arckit-fr, arckit-ca, arckit-eu, arckit-at, arckit-au, arckit-au-energy, arckit-us, arckit-uk-finance, arckit-uk-nhs, arckit-uk-gcloud, arckit-togaf-adm, arckit-agent-architecture) require the arckit core plugin.
AI Agent Connection - Claude, GPT, or other MCP-compatible agents connect via FastMCP protocol 2. Intelligent Analysis - Decision engine analyzes targets and selects optimal testing strategies 3.
GPT Image 2 Prompt Gallery + Agentic Skill + CLI OpenAI GPT Image 2 prompt gallery, image prompt library, agentic skill, and CLI — curated, copy-paste prompts and runnable examples for skill-capable agents. It includes reusable AI image prompts for research paper figures, posters, UI mockups, game HUDs, anime / manga, photography, typography, maps, tattoo design, and reference-image editing workflows.
Goal: Replace the brainstorm server's vendored nodemodules with a single zero-dependency server.js using Node built-ins. Architecture: Single file with WebSocket protocol (RFC 6455 text frames), HTTP server (http module), and file watching (fs.watch).
Goal: Add spec and plan document review loops to the brainstorming and writing-plans skills. Architecture: Create reviewer prompt templates in each skill directory.
--- name: writing-plans description: Use when you have a spec or requirements for a multi-step task, before touching code --- Write comprehensive implementation plans assuming the engineer has zero context for our codebase and questionable taste. Document everything they need to know: which files to touch for each task, code, testing, docs they might need to check, how to test it.
NEVER: INSTEAD: Example: your human partner's rule: "External feedback - be skeptical, but check carefully" your human partner's rule: "You and reviewer both report to me. If we don't need this feature, don't add it." Push back when: How to push back: If you're uncomfortable pushing back out loud: Name that tension, then tell your partner about the issue you've seen.
English | 한국어 | 中文 | 日本語 Game character voice lines + visual overlay notifications when your AI coding agent needs attention — or let the agent pick its own sound via MCP. AI coding agents don't notify you when they finish or need permission.
Load this reference when: writing or changing tests, adding mocks, or adding cleanup/helper methods for tests. Two principles govern everything here: Strict TDD produces both naturally: a test written first and watched failing against real code has already proven it can fail, and only earns a mock when the real dependency proves slow or external.
English | 简体中文 | 繁體中文 | Español | Français | Bahasa Indonesia | 日本語 | 한국어 | Русский | Tiếng Việt Discord · X · WeChat / Feishu 🐈 nanobot is an ultra-lightweight, open-source, self-hosted personal AI agent framework written in Python. It runs in a WebUI, terminal, or chat apps and combines tools, long-term memory, MCP integrations, model routing, multi-agent delegation, scheduled automation, and an OpenAI-compatible API in a small, readable core.
A format specification for describing a visual identity to coding agents. DESIGN.md gives agents a persistent, structured understanding of a design system.
· Team Play · Technical Implementation · Benchmark English · 简体中文 --- Start all three services in one go (memory-core + memory-hub + proxy): Open the panel: http://localhost:8125. Complete installation documentation (standalone Memory Hub deployment, Proxy + Claude Code / CodeBuddy usage, stop and cleanup, port reference, etc.) is available in INSTALL.md (中文: INSTALLCN.md).
Transform vague prompts into expert-level, structured prompts using 31 frameworks across 7 intent categories. Works with Claude Code, ChatGPT, Gemini CLI, Cursor, GitHub Copilot, Windsurf, OpenAI Codex, and 30+ Agent Skills compatible tools.
A curated, community-driven list of awesome Model Context Protocol (MCP) servers, tools, frameworks, clients, and utilities. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations.
PM-Skills A curated library of 68 best-practice, plug-and-play product management skills covering the complete product lifecycle - plus templates, workflows, and 200+ real-world sample outputs that set the quality bar. The catalog is frozen at the v2.9.2 build; subsequent v2.9.x patches do not change the catalog.
The self-hosted AI agent runtime and multi-agent framework for autonomous agents. Open-source agent swarms with durable agent memory, MCP tools, skills, delegation, schedules, and 23+ LLM providers — a practical Claude Code and LangChain alternative.
Query MCP is an open-source MCP server that lets your IDE safely run SQL, manage schema changes, call the Supabase Management API, and use Auth Admin SDK — all with built-in safety controls. Getting started • Feature overview • Troubleshooting • Changelog Installing the server requires the following on your system: If you plan to install via uv, ensure it's installed.
🤖 Chat GPT Prompts A collection of 140+ amazing and useful prompts for GPT-3 This package extends the unofficial NodeJS Client for OpenAI's GPT-3 API. Make sure you have node >= 18 and have an OpenAI API Key that you can get here before you proceed.
Deep research has broken out as one of the most popular agent applications. This is a simple, configurable, fully open source deep research agent that works across many model providers, search tools, and MCP servers.
Agents, memory, tools, and identity that live on your Mac. Download for Mac · Docs · Models · Discord · Twitter · Plugin Registry --- Models are getting cheaper and more interchangeable by the day.
Build better enterprise architecture through structured strategy, design, delivery, and assurance workflows. The 13 community plugins (arckit-uae, arckit-fr, arckit-ca, arckit-eu, arckit-at, arckit-au, arckit-au-energy, arckit-us, arckit-uk-finance, arckit-uk-nhs, arckit-uk-gcloud, arckit-togaf-adm, arckit-agent-architecture) require the arckit core plugin.
AI Agent Connection - Claude, GPT, or other MCP-compatible agents connect via FastMCP protocol 2. Intelligent Analysis - Decision engine analyzes targets and selects optimal testing strategies 3.
GPT Image 2 Prompt Gallery + Agentic Skill + CLI OpenAI GPT Image 2 prompt gallery, image prompt library, agentic skill, and CLI — curated, copy-paste prompts and runnable examples for skill-capable agents. It includes reusable AI image prompts for research paper figures, posters, UI mockups, game HUDs, anime / manga, photography, typography, maps, tattoo design, and reference-image editing workflows.
Goal: Replace the brainstorm server's vendored nodemodules with a single zero-dependency server.js using Node built-ins. Architecture: Single file with WebSocket protocol (RFC 6455 text frames), HTTP server (http module), and file watching (fs.watch).
Goal: Add spec and plan document review loops to the brainstorming and writing-plans skills. Architecture: Create reviewer prompt templates in each skill directory.
--- name: writing-plans description: Use when you have a spec or requirements for a multi-step task, before touching code --- Write comprehensive implementation plans assuming the engineer has zero context for our codebase and questionable taste. Document everything they need to know: which files to touch for each task, code, testing, docs they might need to check, how to test it.
NEVER: INSTEAD: Example: your human partner's rule: "External feedback - be skeptical, but check carefully" your human partner's rule: "You and reviewer both report to me. If we don't need this feature, don't add it." Push back when: How to push back: If you're uncomfortable pushing back out loud: Name that tension, then tell your partner about the issue you've seen.
English | 한국어 | 中文 | 日本語 Game character voice lines + visual overlay notifications when your AI coding agent needs attention — or let the agent pick its own sound via MCP. AI coding agents don't notify you when they finish or need permission.
Load this reference when: writing or changing tests, adding mocks, or adding cleanup/helper methods for tests. Two principles govern everything here: Strict TDD produces both naturally: a test written first and watched failing against real code has already proven it can fail, and only earns a mock when the real dependency proves slow or external.