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Chloe runtime offers granular control for AI agent integration

By PulseAugur Editorial · [1 sources] ·

Chloe is a new open-source TypeScript runtime designed for building AI agents within existing workflows. It allows developers to specify the level of autonomy for each step, differentiating between standard code execution, model-based queries, agent-driven investigations, and human-approved decisions. The runtime records detailed information about each step, including model calls, tool usage, timing, and costs, with a focus on local execution and data ownership. AI

IMPACT Enables developers to integrate AI agents with explicit control over autonomy levels within standard code workflows.

RANK_REASON New open-source runtime for integrating AI agents into existing codebases.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Chloe runtime offers granular control for AI agent integration

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15 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
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Tool
New open-source runtime for integrating AI agents into existing codebases.
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product, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Carlos Martinez Tuanama ·

    Introducing Chloe: An agent is one file that you write

    <p>I’ve been building Chloe (<a href="https://chloejs.org/" rel="noopener noreferrer">https://chloejs.org/</a>), an open-source TypeScript runtime for AI agents.</p> <p>The question behind it is simple: <strong>how much of a workflow should an LLM?</strong></p> <p>Sometimes you k…

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