The Complete Stack for Local Autonomous Agents: From GGML to Orchestration

Building autonomous agents entirely on local infrastructure requires understanding multiple layers of the stack. This SitePoint guide walks through the complete pipeline: from quantising models with GGML to orchestrating multi-agent workflows on edge hardware. It bridges the gap between individual components and production-ready deployments.

Local autonomous agents offer compelling advantages—latency-free decision making, complete data privacy, and independence from cloud services. However, orchestrating multiple agents, managing state, handling fallbacks, and monitoring performance requires thoughtful architecture. The guide covers practical patterns for tool calling, memory management, and inter-agent communication within resource constraints.

This resource is essential for teams scaling from experiments to production deployments. Whether building content generation pipelines, data analysis systems, or interactive decision support, understanding the full stack enables more reliable and maintainable agent systems.

Source: SitePoint · Relevance: 8/10