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
Three product lines — specification, AI bridge, and orchestration framework.
apcore
The unified standard for AI-perceivable module development
Build modules that AI can truly understand. apcore enforces a unified standard with schema validation, behavioral annotations, human-in-the-loop approvals, and built-in observability.
- Unified APCore Client
- Schema-Enforced Modules
- 11-Step Execution Pipeline
- Built-in Event System
apcore-mcp
Zero-code bridge for MCP, OpenAI Tools, and JWT Auth
Turn any project into a secure AI tool provider. Features zero-code bridging to MCP/OpenAI, JWT authentication, streaming support, and an interactive Tool Explorer.
- JWT Authentication
- Interactive Tool Explorer
- Streaming Bridge
- Elicitation Support
apcore-a2a
Secure Agent-to-Agent communication bridge
Standardized protocol for agent discovery and capability negotiation. apcore-a2a enables direct, secure communication between AI agents with automated schema translation.
- Agent Discovery
- Capability Negotiation
- Secure Transport
- Identity Verification
apcore-toolkit
Shared utilities for building apcore adapters
Consolidated logic for endpoint scanning and schema extraction. apcore-toolkit reduces boilerplate for making any web framework AI-perceivable.
- Universal Scanner Base
- Schema Extraction
- Binding Generation
- Cross-Framework Consistency
apflow
Distributed task orchestration for the AI-native era
Scale from a single process to multi-node clusters. apflow provides a unified execution interface for 12+ executors with automatic leader election, task leasing, and GraphQL real-time API.
- Distributed Cluster Support
- GraphQL Real-time API
- 12+ Built-in Executors
- Multi-Protocol Registry
apcore Ecosystem
Open-source adapters and integrations for popular frameworks.
flask-apcore
Turn your Flask endpoints into AI-understandable tools with simple decorators.
View on GitHub
Build AI-perceivable modules with your favorite tools. Our ecosystem projects provide seamless integration for various frameworks.
How They Work Together
Full-stack connectivity from framework integration to AI agents
[ Application Layer (Frameworks) ]
Django / Flask / NestJS / TipTap / Legacy Code
( Seamless integration via decorators )
[ Core Layer (APCore Registry) ]
Capability Discovery | Schema-Enforced Executor
( ACL | Middleware | Input/Output Validation )
[ Protocol Layer (Adaptation) ]
MCP <───> A2A <───> OpenAI Tools <───> CLI
( Universal exposure to all AI ecosystems )
[ AI Layer (Agents) ]
LLM (Large Language Model)
( Compatible with leading models, powering AI Agents )
Ready to build AI-perceivable modules?
Start with apcore to define AI-perceivable modules, use apcore-mcp to bridge them to AI agents, or jump into apflow for task orchestration. All open source and production ready.