Product Portfolio
Infrastructure for Production AI Systems
Orchestration platform, open-source tooling, and ecosystem components designed for organizations building reliable, scalable AI systems.
Agiorcx
Orchestration for Multi‑Agent AI Systems
Dedicated orchestration layer for agent‑based and tool‑augmented AI systems. Teams define agent roles, communication patterns, and control flows declaratively without embedding coordination logic into application code.
Built for organizations requiring explicit guarantees around how AI components behave under load, failure, and change. Manages agent interactions, state isolation, and external tool invocation with production‑grade reliability controls.
Community Tools & Extensions
Agiorcx Lib
Planned ReleaseClient library for integrating with Agiorcx orchestration infrastructure. Type‑safe SDK with workflow composition utilities, state management helpers, and observability hooks.
Open source library for building applications on Agiorcx infrastructure.
Agiorcx MCP
Planned ReleaseModel Context Protocol server implementation for Agiorcx. Enables LLM agents to interact with orchestration workflows, query execution state, and invoke deployment operations through standardized MCP interfaces.
MCP server for programmatic orchestration control and workflow introspection.
Roadmap Note: Both libraries are currently in internal development. Public release timing is subject to production validation milestones and API stability requirements. No pre-release access available.
Ecosystem Architecture
Platform Layer
Agiorcx provides the core orchestration infrastructure. Organizations deploy Agiorcx to coordinate multi‑agent workflows, enforce reliability policies, manage distributed state, and maintain operational visibility across AI system components.
Integration Layer
Client libraries (Agiorcx Lib) enable application teams to integrate orchestration primitives into existing systems. Type‑safe SDKs reduce integration friction and provide workflow composition utilities without requiring deep platform knowledge.
Protocol Layer
MCP implementations (Agiorcx MCP) expose orchestration capabilities through standardized interfaces. LLM agents and external systems interact with workflows programmatically, query execution state, and trigger operations through protocol‑defined contracts.
For technical discussions, deployment planning, or partnership inquiries:
Contact Engineering Team →