Explore/agent app/AIBuildAI-2.5: Efficient Autonomous AI Model Development Through LLM-Guided Tree Search
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Peijia Qin, Ruiyi Zhang, Qi Cao, Han Guo, Li Zhang, Pengtao Xie/AIBuildAI-2.5: Efficient Autonomous AI Model Development Through LLM-Guided Tree SearchUnknown

AIBuildAI‑2.5 is a research paper presenting an autonomous agent system that builds AI models via LLM‑guided tree search, improving efficiency with a judge‑selector framework, resource‑aware scheduler, and cost‑aware router. It targets researchers and practitioners developing automated model‑building agents.

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AgentHub Score
55 / 100
Composite score from 6 signals. How we score →
Active project
55Score
Growth
40C
Activity
30C
Documentation
70C+
Maturity
45C
Community
42C
Production
58C
GitHub stars · 0 days observed0 not enough history
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Repository activity · 0 days observednot enough history from pushed_at
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Practical assessment
Should you use it?

✓ Best for

  • Research and experimentation
  • Prototype development
  • Learning agentic patterns

◎ Strengths

  • Active community
  • Open source
  • Well-documented API

✕ Not ideal for

  • Untested at scale without validation
  • Teams without AI/ML expertise

⚠ Watch-outs

  • Review changelog before updating
  • Verify license for commercial use
Technical details
What's inside
Language
License
Sourcearxiv
Open source✗ No
Commercial use
Docs
Demo

AgentHub Score

55
Score 55/100
Below average

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