LoongFlow
🚀
A Short Demo shows LoongFlow
Xunan Dai
FreshmanD
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updated
a Space 3 days ago
FreshmanD/LoongFlow published
a Space 3 days ago
FreshmanD/LoongFlow replied to their post 27 days ago
LoongFlow Big News!!! @all
We’ve put AI Agents into a production GPU cluster to handle GPU failure prediction.
Not as a demo. Not as AutoML.
But as an evolving system that designs and improves its own models.
On two GPU types:
– IT21HMDB01-B2: +30% prediction accuracy
– H800: +25% prediction accuracy
The resulting models already meet production standards and are being wired into the ops pipeline.
How it works:
• An ML agent designs the full ML pipeline from scratch
• A Math agent performs targeted evolutionary optimization
• The agents explore, discard, and iterate toward better modelsHumans don’t hand-tune parameters.
This is not offline analysis. GPU failure prediction means:
• heavy assets
• real incidents
• real operational risk
The agents now trigger maintenance before failures happen.
This feels like an early signal: AI agents are starting to take responsibility for infrastructure-level engineering decisions in production systems.
For ML Agent, you can check: https://github.com/baidu-baige/LoongFlow Organizations
updated a Space 3 days ago
published a Space 3 days ago
replied to their post 27 days ago
I saw that this project on GitHub has passed some tests using Kaggle datasets and won 22 gold medals. Could there be a problem of data contamination here? Can we try real-world competition problems on Kaggle?
Our focus is the Agent itself, not the dataset, so you can try our Agent on real-world problems, just like the GPU problem prediction area~
replied to their post 27 days ago
No limit, You can feed any online monitoring data to the Agent.
replied to their post 27 days ago
We've set up a pipeline. This pipeline collects real-time data from various GPU models in the production environment. The agent then uses this data to train models for different GPUs and uses the trained models to predict the probability of failure.
reacted to their post with 🚀 28 days ago
Post
3647
LoongFlow Big News!!! @all
We’ve put AI Agents into a production GPU cluster to handle GPU failure prediction.
Not as a demo. Not as AutoML.
But as an evolving system that designs and improves its own models.
On two GPU types:
– IT21HMDB01-B2: +30% prediction accuracy
– H800: +25% prediction accuracy
The resulting models already meet production standards and are being wired into the ops pipeline.
How it works:
• An ML agent designs the full ML pipeline from scratch
• A Math agent performs targeted evolutionary optimization
• The agents explore, discard, and iterate toward better modelsHumans don’t hand-tune parameters.
This is not offline analysis. GPU failure prediction means:
• heavy assets
• real incidents
• real operational risk
The agents now trigger maintenance before failures happen.
This feels like an early signal: AI agents are starting to take responsibility for infrastructure-level engineering decisions in production systems.
For ML Agent, you can check: https://github.com/baidu-baige/LoongFlow
We’ve put AI Agents into a production GPU cluster to handle GPU failure prediction.
Not as a demo. Not as AutoML.
But as an evolving system that designs and improves its own models.
On two GPU types:
– IT21HMDB01-B2: +30% prediction accuracy
– H800: +25% prediction accuracy
The resulting models already meet production standards and are being wired into the ops pipeline.
How it works:
• An ML agent designs the full ML pipeline from scratch
• A Math agent performs targeted evolutionary optimization
• The agents explore, discard, and iterate toward better modelsHumans don’t hand-tune parameters.
This is not offline analysis. GPU failure prediction means:
• heavy assets
• real incidents
• real operational risk
The agents now trigger maintenance before failures happen.
This feels like an early signal: AI agents are starting to take responsibility for infrastructure-level engineering decisions in production systems.
For ML Agent, you can check: https://github.com/baidu-baige/LoongFlow
-
- 6 replies
posted an
update 28 days ago
Post
3647
LoongFlow Big News!!! @all
We’ve put AI Agents into a production GPU cluster to handle GPU failure prediction.
Not as a demo. Not as AutoML.
But as an evolving system that designs and improves its own models.
On two GPU types:
– IT21HMDB01-B2: +30% prediction accuracy
– H800: +25% prediction accuracy
The resulting models already meet production standards and are being wired into the ops pipeline.
How it works:
• An ML agent designs the full ML pipeline from scratch
• A Math agent performs targeted evolutionary optimization
• The agents explore, discard, and iterate toward better modelsHumans don’t hand-tune parameters.
This is not offline analysis. GPU failure prediction means:
• heavy assets
• real incidents
• real operational risk
The agents now trigger maintenance before failures happen.
This feels like an early signal: AI agents are starting to take responsibility for infrastructure-level engineering decisions in production systems.
For ML Agent, you can check: https://github.com/baidu-baige/LoongFlow
We’ve put AI Agents into a production GPU cluster to handle GPU failure prediction.
Not as a demo. Not as AutoML.
But as an evolving system that designs and improves its own models.
On two GPU types:
– IT21HMDB01-B2: +30% prediction accuracy
– H800: +25% prediction accuracy
The resulting models already meet production standards and are being wired into the ops pipeline.
How it works:
• An ML agent designs the full ML pipeline from scratch
• A Math agent performs targeted evolutionary optimization
• The agents explore, discard, and iterate toward better modelsHumans don’t hand-tune parameters.
This is not offline analysis. GPU failure prediction means:
• heavy assets
• real incidents
• real operational risk
The agents now trigger maintenance before failures happen.
This feels like an early signal: AI agents are starting to take responsibility for infrastructure-level engineering decisions in production systems.
For ML Agent, you can check: https://github.com/baidu-baige/LoongFlow
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-
- 6 replies
reacted to their post with 🔥 about 1 month ago
Post
1093
Hello everyone, We are thrilled to announce that LoongFlow has officially launched: General Agent!
This iteration introduces three major features, bringing the capabilities of intelligent agents to new heights.
1. Claude Agent SDK Deep Integration 📷
* Integrated with Claude Agent SDK: Enhancing the framework’s extensibility
* Seamless integration with the Claude Skills ecosystem, sharing powerful tool capabilities
2. Breakthrough Multi-File System Support 📷
* Say goodbye to single-file limitations: Supports complex system development at a full project level
3. Support for AI Self-Evaluation Mode 📷
* Self-evaluation: Agents can assess the quality of their own solutions, saving you the hassle of building evaluation functions
📷 For more details, check out: https://github.com/baidu-baige/LoongFlow/tree/main/agents/general_agent.
Feel free to try it out, and let us know if you have any questions or feedback! ~
This iteration introduces three major features, bringing the capabilities of intelligent agents to new heights.
1. Claude Agent SDK Deep Integration 📷
* Integrated with Claude Agent SDK: Enhancing the framework’s extensibility
* Seamless integration with the Claude Skills ecosystem, sharing powerful tool capabilities
2. Breakthrough Multi-File System Support 📷
* Say goodbye to single-file limitations: Supports complex system development at a full project level
3. Support for AI Self-Evaluation Mode 📷
* Self-evaluation: Agents can assess the quality of their own solutions, saving you the hassle of building evaluation functions
📷 For more details, check out: https://github.com/baidu-baige/LoongFlow/tree/main/agents/general_agent.
Feel free to try it out, and let us know if you have any questions or feedback! ~
posted an
update about 1 month ago
Post
1093
Hello everyone, We are thrilled to announce that LoongFlow has officially launched: General Agent!
This iteration introduces three major features, bringing the capabilities of intelligent agents to new heights.
1. Claude Agent SDK Deep Integration 📷
* Integrated with Claude Agent SDK: Enhancing the framework’s extensibility
* Seamless integration with the Claude Skills ecosystem, sharing powerful tool capabilities
2. Breakthrough Multi-File System Support 📷
* Say goodbye to single-file limitations: Supports complex system development at a full project level
3. Support for AI Self-Evaluation Mode 📷
* Self-evaluation: Agents can assess the quality of their own solutions, saving you the hassle of building evaluation functions
📷 For more details, check out: https://github.com/baidu-baige/LoongFlow/tree/main/agents/general_agent.
Feel free to try it out, and let us know if you have any questions or feedback! ~
This iteration introduces three major features, bringing the capabilities of intelligent agents to new heights.
1. Claude Agent SDK Deep Integration 📷
* Integrated with Claude Agent SDK: Enhancing the framework’s extensibility
* Seamless integration with the Claude Skills ecosystem, sharing powerful tool capabilities
2. Breakthrough Multi-File System Support 📷
* Say goodbye to single-file limitations: Supports complex system development at a full project level
3. Support for AI Self-Evaluation Mode 📷
* Self-evaluation: Agents can assess the quality of their own solutions, saving you the hassle of building evaluation functions
📷 For more details, check out: https://github.com/baidu-baige/LoongFlow/tree/main/agents/general_agent.
Feel free to try it out, and let us know if you have any questions or feedback! ~
posted an
update about 1 month ago
Post
1453
Really thanks to the community for their help! LoongFlow now has its first Chinese hands-on video!
Version 2.0 is under intensive development. The next version will support Skills, making it easier for users to create their own expert agents to solve various challenging and complex real-world problems.
Meanwhile, we are also exploring whether we can automatically generate high-quality expert Skills after a task is completed, reducing the difficulty of writing Skills and letting the LoongFlow framework automatically output the best Skills for challenging scenarios!
Version 2.0 is under intensive development. The next version will support Skills, making it easier for users to create their own expert agents to solve various challenging and complex real-world problems.
Meanwhile, we are also exploring whether we can automatically generate high-quality expert Skills after a task is completed, reducing the difficulty of writing Skills and letting the LoongFlow framework automatically output the best Skills for challenging scenarios!
commented on LoongFlow: An Open-Sourced Agent Framework That Transforms Expert Experience into Autonomous AI Productivity about 1 month ago
We're working on it, maybe it'll be published in the next two weeks.
replied to their post about 2 months ago
sure, I'll make it, keep watching
reacted to their post with 👀 about 2 months ago
Post
1043
I'm thinking about the next iteration direction for LoongFlow, and I'd appreciate any suggestions. Should we evolve the Claude Code Skills? Or the Agent structure? Or what should we evolve?
huggingface
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- 3 replies
replied to their post about 2 months ago
Please give me some ideas~
posted an
update about 2 months ago
Post
1043
I'm thinking about the next iteration direction for LoongFlow, and I'd appreciate any suggestions. Should we evolve the Claude Code Skills? Or the Agent structure? Or what should we evolve?
huggingface
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-
- 3 replies
replied to their post about 2 months ago
Hey guys, If you're interested in LoongFlow, welcome to participate with us~
If you want to know more about LoongFlow, you can read these two articles: https://huggingface.co/blog/FreshmanD/loongflow-intro
https://huggingface.co/blog/FreshmanD/loongflow-vs-openevolve
upvoted an article about 2 months ago
Article
LoongFlow: An Open-Sourced Agent Framework That Transforms Expert Experience into Autonomous AI Productivity
•
2
published an
article about 2 months ago
Article
LoongFlow: An Open-Sourced Agent Framework That Transforms Expert Experience into Autonomous AI Productivity
•
2
reacted to their post with 🔥 about 2 months ago
Post
2797
🥇 23 Kaggle Gold Medals. One Agent Framework.
Introducing LoongFlow: A Thinking & Learning Framework for Expert-Grade AI Agents.
Unlike traditional evolve agents(like OpenEvolve-Style), LoongFlow implements the PES (Plan-Execute-Summary) paradigm to learn from mistakes and avoid local optima.
🚀 Highlights:
* SOTA: Surpassed human mathematicians on 11 geometry/algebra problems.
* 23 Kaggle Gold Medals on MLE Bench.
* Efficiency: 60% more efficient than current baselines.
🔗 Code & Paper:
https://github.com/baidu-baige/LoongFlow
LoongFlow: Directed Evolutionary Search via a Cognitive Plan-Execute-Summarize Paradigm (2512.24077)
#AutoML #Kaggle #Agents #OpenSource #LLM
Introducing LoongFlow: A Thinking & Learning Framework for Expert-Grade AI Agents.
Unlike traditional evolve agents(like OpenEvolve-Style), LoongFlow implements the PES (Plan-Execute-Summary) paradigm to learn from mistakes and avoid local optima.
🚀 Highlights:
* SOTA: Surpassed human mathematicians on 11 geometry/algebra problems.
* 23 Kaggle Gold Medals on MLE Bench.
* Efficiency: 60% more efficient than current baselines.
🔗 Code & Paper:
https://github.com/baidu-baige/LoongFlow
LoongFlow: Directed Evolutionary Search via a Cognitive Plan-Execute-Summarize Paradigm (2512.24077)
#AutoML #Kaggle #Agents #OpenSource #LLM
-
- 1 reply
posted an
update about 2 months ago
Post
2797
🥇 23 Kaggle Gold Medals. One Agent Framework.
Introducing LoongFlow: A Thinking & Learning Framework for Expert-Grade AI Agents.
Unlike traditional evolve agents(like OpenEvolve-Style), LoongFlow implements the PES (Plan-Execute-Summary) paradigm to learn from mistakes and avoid local optima.
🚀 Highlights:
* SOTA: Surpassed human mathematicians on 11 geometry/algebra problems.
* 23 Kaggle Gold Medals on MLE Bench.
* Efficiency: 60% more efficient than current baselines.
🔗 Code & Paper:
https://github.com/baidu-baige/LoongFlow
LoongFlow: Directed Evolutionary Search via a Cognitive Plan-Execute-Summarize Paradigm (2512.24077)
#AutoML #Kaggle #Agents #OpenSource #LLM
Introducing LoongFlow: A Thinking & Learning Framework for Expert-Grade AI Agents.
Unlike traditional evolve agents(like OpenEvolve-Style), LoongFlow implements the PES (Plan-Execute-Summary) paradigm to learn from mistakes and avoid local optima.
🚀 Highlights:
* SOTA: Surpassed human mathematicians on 11 geometry/algebra problems.
* 23 Kaggle Gold Medals on MLE Bench.
* Efficiency: 60% more efficient than current baselines.
🔗 Code & Paper:
https://github.com/baidu-baige/LoongFlow
LoongFlow: Directed Evolutionary Search via a Cognitive Plan-Execute-Summarize Paradigm (2512.24077)
#AutoML #Kaggle #Agents #OpenSource #LLM
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- 1 reply