Dexto: An Open-Source Agent Harness for Orchestrating AI Applications
By
shaunaks
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Summary
Dexto is an open-source agent harness that serves as an orchestration layer for turning large language models (LLMs) into reliable, stateful AI agents. It provides a framework for building agentic applications where agents can take actions, remember context, and recover from errors. The article presents Dexto as analogous to an operating system for AI agents, with LLMs serving as the CPU (raw processing power), context windows as RAM (working memory), and Dexto itself as the operating system that handles orchestration, state management, tools, and recovery. The platform ships with a powerful coding agent and is designed for developers building AI agent applications.
Key quotes
· 4 pulledDexto is an agent harness—the orchestration layer that turns LLMs into reliable, stateful agents that can take actions, remember context, and recover from errors.
Think of it like an operating system for AI agents.
An open agent harness for AI applications—ships with a powerful coding agent.
Dexto: Operating System - Orchestration, state, tools, recovery
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