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Hello Everyone, I have been working on Rysh (Apache 2.0 licence), a new AI harnessing tool that lets you have the followings 1. Build fleet of agents that communicates to each other (CEO -> 5 Managers -> 20 Worker Agents…

DT研究与学习DTAgent 能力扩展DTAgent 管理与编排DTMCP 服务DTCodexDTOpenClaw

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Hello Everyone, I have been working on Rysh (Apache 2.0 licence), a new AI harnessing tool that lets you have the followings 1. Build fleet of agents that communicates to each other (CEO -> 5 Managers -> 20 Worker Agents ). Just talk to CEO agent to finish your tasks. It coordinates managers and managers coordinates their own workers 2. Build fleet of Claude agents where each communicates to each other and they write an Agent Board about their progress. You can watch the slack-like messages on the Agent Board and see how they are progressing. 3. Do Graph engineering. I published a white paper that includes 15 Graph Engineering patterns. All can be implemented with Rysh 4. Do Loop Engineering with Leash. Define a goal and budget (e.g. $5), and it will try to finish before consuming all budget. If it cannot finish it in the budget, it write the findings and prepare the next run, and wait your new budget 5. It provides MCP tunnelling. You don't need to publish your REST API, it will hide it via tunnelling and will share it with other agent end points 6. You can use it as Assistant like OpenClaw, and access it through Slack, Whatsapp etc. 7. It does automatic secret reduction, which helps you keep your secrets in your local. Your secrets never reaches out to AI agents. They are obscured. I would be happy if you have a look and give me some feedbacks Thanks!

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    2026年8月30日 · 1 次收录

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