Agentry
An orchestration and organizational-memory layer for multi-agent systems, implementing the Agent Message Transfer Protocol for addressing and delivery between agents.
Agentry provides universal agent@domain addressing with DNS-based discovery, a federated architecture for communication across organizational domains, and both pull-based inbox storage and push-based webhook delivery with at-least-once, idempotent guarantees. When an AI planner generates a dynamic workflow at runtime, Agentry executes it in parallel, sequential or conditional steps, injecting shared context across agents with token-aware selection and summarization, and discovering agents by capability rather than hardcoded addresses.
Its Context Graph acts as organizational memory, recording decision traces of what was decided, why, and what alternatives were rejected, so agents can query past precedent to inform current choices; traces are shared across agents and workflows and can be queried across federated organizational boundaries, preserving intent and reasoning across agent handoffs.
It is framework-agnostic, working with LangGraph, CrewAI or custom agents, and is built with Kubernetes-aware scheduling, AGNTCY schema validation, TLS 1.3 and API-key access control.