Multi-agent systems
Coordination, identity, scoped context, messages, leases, and conflict-aware work ownership for simultaneously operating agents.
Project contact
Michael Kappel
Machine Intelligence Engineer and Software Architect focused on multi-agent systems, persistent AI memory, local LLM infrastructure, governed AI workflows, and enterprise AI integration.
Engineering background
Machine intelligence grounded in production systems.
Michael Kappel's public engineering portfolio centers on machine-intelligence infrastructure: agent coordination, durable reviewed memory, local model/runtime tooling, retrieval, validation, recovery, and human-governed workflows.
That work is backed by more than two decades of enterprise software delivery across .NET, Microsoft Azure, SQL, TypeScript, testing, modernization, and production architecture.
Relevant focus
Work adjacent to Embedded Semantics
Persistent AI memory
Durable local continuity plus reviewed shared context, lifecycle governance, recovery, and human verification.
LLM infrastructure
Local runtime components, model APIs, retrieval, package engineering, diagnostics, observability, and explicit capability boundaries.
Enterprise AI integration
Governed model workflows, semantic retrieval, structured outputs, recovery, and human review integrated with business-critical software.
Contact
Start with the public portfolio.
For questions about Embedded Semantics, related machine-intelligence architecture, or engineering collaboration, use the direct contact links above. For career history, project evidence, technical case studies, and broader professional context, MikeKappel.com is the canonical public profile.