Agent Harness Architecture: Runtime Controls Around an AI Agent
A practical model of agent harnesses: tool execution, context assembly, sandboxing, state, and bounded error recovery.
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Agentic Compute Graphs: Choosing Static and Dynamic Workflows
How to choose between fixed workflows and agent-selected routes, account for cost and observability, and use LangChain and LangGraph in their respective roles.
Life Harness: a runtime interface for rule-governed AI agents
Life Harness is a research framework for frozen LLM agents in deterministic benchmark environments. It adds an environment contract, procedural skills, action realization, and trajectory regulation around the model.