AI Perceivable
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Repositories
- apcore Public
A schema-enforced module framework where every interface is inherently perceivable by AI.
- apflow-webapp Public
APFlow WebApp is a modern web application for managing and executing tasks with aipartnerupflow, built with Next.js and Mantine.
- apflow Public
**AI-Perceivable Distributed Orchestration** apflow is a distributed task orchestration engine where every capability is AI-perceivable — discoverable, understandable, and invocable by AI agents through the apcore module standard.
- apexe Public
Outside-In CLI-to-Agent Bridge — automatically wraps existing CLI tools into governed apcore modules, served via MCP/A2A.
- nestjs-apcore Public
NestJS adapter for the apcore AI-Perceivable module ecosystem. Turn your existing NestJS services into AI-callable [MCP](https://modelcontextprotocol.io/) tools and OpenAI-compatible function definitions — with zero changes to your business logic.
- tiptap-apcore Public
Let AI safely control your TipTap editor via the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) and OpenAI Function Calling.
- axum-apcore Public
**axum-apcore** automatically scans your Axum routes and exposes them as apcore modules — with full execution, context mapping, MCP serving, and OpenAI tool export. Define your routes once, and both code and AI can discover, understand, and invoke them through enforced schemas and behavioral annotations.
- flask-apcore Public
Flask Extension for apcore (AI-Perceivable Core) integration. Expose your Flask routes as MCP tools with auto-discovery, Pydantic schema inference, and built-in observability.
- django-apcore Public
Django integration for the [apcore](https://github.com/aipartnerup/apcore) protocol — scan your existing Django REST APIs and serve them as MCP tools for AI agents.
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