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dario-github/README.md

About

I'm Dario Zhang, an AI platform lead in Beijing with 8 years in AI. I started in NLP and causal inference.

  • Built a low-code agent platform at BlueFocus: 2,000+ agents in production, tools behind an MCP gateway, layered memory for multi-agent context.
  • Led KOX, a multi-agent video generation system on Strands Agents and AWS Bedrock AgentCore.
  • Now lead an AI production platform: multi-model image and video orchestration, model routing and failover. It went live in production within 3 months.
  • My code is written by a team of AI agents. I design the system, split the work and review what comes back.

Side projects: agent-self-evolution · biomorphic-memory · nous · claude-guard

Education: B.S. in Mathematics, Tongji University

Skills

Language Basic Skills Basic Skills

Latest Blog Posts (Note & Push)

TitleDescribeDateLink
解决Ubuntu 22.04上APT存储库警告和下载速度问题Note & PushAug 11, 2023https://blog.dariolink.vercel.app/解决ubuntu-2204上apt存储库警告和下载速度问题
在WSL的vscode上使用GPG签名提交更改因为GPG在WSL上不弹出图形窗口的缘故,需要先在命令行调出密码输入的命令行窗口,然后缓存秘钥,之后才能用vscode的git提交。Jun 9, 2023https://blog.dariolink.vercel.app/在wsl的vscode上使用gpg签名提交更改

AI Code Time

Profile Views

📊 This Week I Spent My Time On

💬 Programming Languages: 
Other                    36 hrs 42 mins      ████████████░░░░░░░░░░░░░   47.98 % 
Markdown                 20 hrs 57 mins      ███████░░░░░░░░░░░░░░░░░░   27.39 % 
Diff                     9 hrs 14 mins       ███░░░░░░░░░░░░░░░░░░░░░░   12.07 % 
Python                   4 hrs 17 mins       █░░░░░░░░░░░░░░░░░░░░░░░░   05.61 % 
Text                     1 hr 21 mins        ░░░░░░░░░░░░░░░░░░░░░░░░░   01.78 % 

🤖 AI Coding This Week

⏱ AI Coding Time: 76 hrs 30 mins (100.0%)

✍️ 43,948 lines written by AI, 2 lines written by hand (100.0% AI-written)

🔤 290,126,774 Input Tokens, 23,055,520 Output Tokens

💵 $1959.62 Estimated AI Cost This Week

🧠 1574 AI Sessions, 1965 AI Prompts

Opus                     24,546 lines        ██████████████░░░░░░░░░░░   55.74 % 
GPT                      16,947 lines        ██████████░░░░░░░░░░░░░░░   38.48 % 
Sonnet                   1,970 lines         █░░░░░░░░░░░░░░░░░░░░░░░░   04.47 % 
K                        553 lines           ░░░░░░░░░░░░░░░░░░░░░░░░░   01.26 % 
Haiku                    24 lines            ░░░░░░░░░░░░░░░░░░░░░░░░░   00.05 % 

🔎 AI Coding Insights:
🤖 AI-Driven — 100.0% of written lines came from AI
📚 Verbose Prompter — average 6,007 characters per prompt
🎯 One-Shot Prompter — average 1 prompts per session
🚀 High AI Trust — 0.0% of changed lines were hand-edited

Pinned Loading

  1. agent-self-evolution agent-self-evolution Public

    Automated evaluation, ablation testing, and continuous improvement framework for AI agents

    Python

  2. biomorphic-memory biomorphic-memory Public

    Brain-inspired memory architecture for AI agents — spreading activation, Q-value decay, semantic graph retrieval

    Python

  3. causal-discovery causal-discovery Public

    The causal discovery toolkit, related algorithms are derived from the matlab version, for ease of use, converted to the python version, so that non-professionals can also use it.

    Python

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