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AI engineer builds Crysto system to coordinate multiple AI agents

An AI engineer has developed a system called Crysto to manage multiple AI agents working on the same projects, addressing the challenge of coordination rather than the AI models themselves. The system uses files like STATUS.md and COORDINATION.md to provide agents with memory and prevent conflicts, such as multiple agents accessing the same browser simultaneously. Crysto employs different models for specific tasks: Claude for overall planning and review, Codex for long-running jobs, and smaller models via OpenCode for bounded fixes, with each agent operating independently without shared conversation history. AI

IMPACT Provides a framework for managing multiple AI agents on complex projects, highlighting the importance of coordination and memory.

RANK_REASON The item describes a personal project and a system for managing AI agents, not a new product release or frontier research.

Read on dev.to — LLM tag →

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

AI engineer builds Crysto system to coordinate multiple AI agents

How we ranked this

Signal score
32 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
The item describes a personal project and a system for managing AI agents, not a new product release or frontier research.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Vanshaj Kakkar ·

    Crysto: how I run Claude, Codex and other AI models as one team. The models were the easy part.

    <p>Early on, two of my AI agents tried to use the same browser at the same time. The browser fell over. Neither of them had really done anything wrong. They had each followed their instructions to the letter. They just had no idea the other one was there.</p> <p>That was when I r…