LightAgent
Lightweight framework for building memory-enabled multi-agent AI applications
All Skills in This Repository (7)
Pure Emerald Level Indicators
wanxingaixlsx
Read, edit, convert, and generate Excel-compatible files from .xlsx, .xlsm, .csv, and .tsv inputs.
wanxingaiAutomate PDF text extraction, merging, and form filling with Python libraries.
wanxingaifrontend-design
Design production-grade frontend interfaces from user requirements.
wanxingaifront-tech-map
Generate SVG technology maps with provenance and confidence scoring.
wanxingaicomparable-company-analysis
Identify comparable companies for a target listed company and generate a structured competitive-analysis report.
wanxingailocal-research
Search local notes and distinguish evidence from unsupported claims.
wanxingai财经分析工具包
Analyzes stocks with technical indicators, risk metrics, and investment recommendations using yfinance data.
Frequently Asked Questions
FAQPage SchemaHow to install LightAgent?▼
Run `npx skills add wanxingai/LightAgent --all -g -y` in your terminal to install all skills in this suite globally.
What is LightAgent used for?▼
LightAgent is a lightweight open-source framework for building AI agents with memory, tool calling, multi-agent collaboration, and deterministic workflow orchestration.
Which AI models does LightAgent support?▼
It works with any OpenAI-compatible provider, including OpenAI, DeepSeek, Qwen, OpenRouter, vLLM, and llama.cpp.
What skills are included in LightAgent?▼
The suite ships with ready-made skills for Excel spreadsheet editing, PDF processing, frontend UI design, stock and financial analysis, comparable company analysis, and technology landscape mapping.
Can LightAgent agents remember users across conversations?▼
Yes. It natively supports long-term memory through the mem0 module, so each agent can retain personalized user memory and self-learn from conversations.
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