AgC
by masaic-ai-platform
Production-grade substrate for deploying and orchestrating AI agents
Overview
Provides an open-core compute substrate for deploying, running, and orchestrating AI agents at scale. Uses a purpose-built runtime and orchestration layer to manage agent processes, resource isolation, and routing between agents and external LLM providers. Distinguishes itself with production-oriented features for observability and multi-provider LLM integration. For natural observability insights, consider emergence-aware monitoring and for flexible routing between agents and providers, see Dynamic Task Routing Pattern.
Key Benefits
Target Use Cases
Teams deploying multi-agent systems in production who need observability, multi-LLM integration, and robust orchestration. For defense-in-depth considerations in production reliability, consult the Defense in Depth Pattern.
Use Cases
- Deploying fleets of specialist agents with centralized observability and logging
- Running cross-LLM experiments (openai, gemini, ollama, local models) under a single orchestration layer
- Capturing interaction logs and failure traces for post-hoc agent-to-agent evaluation and reputation analysis