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Task Orchestration Framework for AI Applications
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The core of `apflow` is **task orchestration and execution specifications**. It provides a unified task orchestration framework that supports execution of multiple task types. The core is **pure orchestration** with no LLM dependencies - CrewAI support is optional.
A schema-enforced module framework where every interface is inherently perceivable by AI.
A schema-driven module development framework for Python.
General-purpose development tools for TypeScript/JavaScript projects - character validation, circular import detection, and │ │ more
Automatic MCP Server & OpenAI Tools Bridge for apcore.
APFlow WebApp is a modern web application for managing and executing tasks with aipartnerupflow, built with Next.js and Mantine.
Repositories
28Automatic A2A Protocol Adapter for apcore Module Registry.
apcore-a2a acts as a thin, protocol-specific layer on top of `apcore-python`. It maps A2A concepts to apcore primitives
apcore-a2a bridges that gap — it reads your existing module metadata (schemas, descriptions, examples) and automatically exposes them as a standards-compliant A2A server. No hand-written Agent Cards, no JSON-RPC boilerplate, no manual task lifecycle management.
A lightweight, minimal-dependency embedded Web UI for any MCP Server.
General-purpose development tools for TypeScript/JavaScript projects - character validation, circular import detection, and │ │ more
A lightweight, minimal-dependency embedded Web UI for any MCP Server.
A schema-enforced module framework where every interface is inherently perceivable by AI.
Cross-language documentation and assets for the MCP Embedded UI library.
A schema-driven module development framework for TypeScript.
A schema-driven module development framework for Python.
Automatic MCP Server & OpenAI Tools Bridge for apcore.
The core of `apflow` is **task orchestration and execution specifications**. It provides a unified task orchestration framework that supports execution of multiple task types. The core is **pure orchestration** with no LLM dependencies - CrewAI support is optional.
Automatic MCP Server & OpenAI Tools Bridge for apcore.
**apcore-toolkit** is a shared scanner, schema extraction, and output toolkit for the apcore ecosystem. It provides framework-agnostic logic to extract metadata from existing code and make it "AI-Perceivable".
Apcore ecosystem management skill for Claude Code. Handles cross-language SDK synchronization, framework integration scaffolding, multi-repo audits, coordinated releases, and documentation alignment.
Shared scanner, schema extraction, and output toolkit for [apcore]
Shared scanner, schema extraction, and output toolkit for apcore framework adapters (TypeScript).
Apcore ecosystem management skill for Claude Code. Handles cross-language SDK synchronization, framework integration scaffolding, multi-repo audits, coordinated releases, and documentation alignment.
Automatic MCP Server & OpenAI Tools Bridge for [apcore](https://github.com/aipartnerup/apcore).
Let AI safely control your TipTap editor via the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) and OpenAI Function Calling.
No description provided.
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.
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.
Demo deployment of apflow with rate limiting and quota management.
This repository contains the documentation website for apflow, built with MkDocs and Material for MkDocs.
APFlow WebApp is a modern web application for managing and executing tasks with aipartnerupflow, built with Next.js and Mantine.
No description provided.
Official Python SDK for the Agent2Agent (A2A) Protocol