Partner Up, Build Smarter
Where every interface is AI-perceivable by design
Why AI Partner Up
Core principles that drive everything we build.
AI-Perceivable
Every module is inherently understandable by AI through enforced schemas — a design requirement, not an afterthought.
Open Source
Apache 2.0 licensed. Fully open, transparent, and community-driven.
Cross-Language
Language-agnostic specifications that any language can implement. Build in Python today, extend to Go or Rust tomorrow.
Schema-Driven
Strict input/output contracts on every interface. Predictable, validatable, and self-documenting.
Production Ready
Built for real-world use with built-in storage, monitoring, error recovery, and observability.
Extensible
Adapters for MCP, gRPC, HTTP, WebSocket, and more. Integrate with any protocol or framework.
Our Products
Two parallel product lines — one specification, one orchestration framework.
apcore
Schema-driven module development framework
Build modules that AI can truly understand. apcore enforces input_schema, output_schema, and description on every module, making interfaces inherently perceivable by AI.
- Schema-Driven
- AI-Perceivable
- Cross-Language Spec
- Progressive Integration
apflow
Task orchestration framework for AI applications
Beyond simple task lists — orchestrate complex task trees with dependencies, priorities, and a unified execution interface across HTTP, SSH, Docker, gRPC, MCP, and LLM agents.
- Task Tree Orchestration
- Multi-Executor Ecosystem
- Built-in Task Scheduling
- A2A Protocol
How They Work Together
apcore defines the standard. apflow builds on it.
Ready to build AI-perceivable modules?
Start with apcore to define AI-perceivable modules, or jump into apflow for task orchestration. Both are open source and production ready.