harbor

Harbor v0.4.19 adds the ability to launch local agentic coding tools with local inference backends, integrating vllm, sglang, and llama.cpp, and includes a built-in LLM gateway for tool injection like web search.

This article describes a multi-agent architecture running at scale, using LangGraph, CrewAI, and Harbor to handle goal agents, task coordination, and secure access with tracing.

An analysis of why RL for coding tasks is gaining traction due to verifiable rewards, and why the emerging framework Harbor addresses the bottleneck of environment complexity in RL training.