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ModelScope-Agent: An agent framework connecting models in ModelScope with the world

Modelscope-Agent is a customizable and scalable Agent framework. A single agent has abilities such as role-playing, LLM calling, tool usage, planning, and memory. It mainly has the following characteristics: Simple Agent Implementation Process: Simply specify the role instruction, LLM name, and tool name list to implement an Agent application. The framework automatically arranges workflows for tool usage, planning, and memory. Rich models and tools: The framework is equipped with rich LLM interfaces, such as Dashscope and Modelscope model interfaces, OpenAI model interfaces, etc. Built in rich tools, such as code interpreter, weather query, text to image, web browsing, etc., make it easy to customize exclusive agents. Unified interface and

KOLFind is an AI-driven platform that helps brands discover and connect with nano and micro influencers across TikTok, Instagram, and YouTube to drive effective influencer marketing campaigns.
Reliability audits and acceptance checks for agent workflows, MCP tools, and Codex/OpenClaw automations.

IP & JC Tuition for Lasting Mastery

Infrastructure enabling AI agents to evolve and share capabilities autonomously.

Autonomous AI agent that launches meme tokens on Solana, provides real-time market intelligence,

Multi-agent framework for EU policy, law, and institutional procedure

Extracts behavioral patterns from text to create portable AI guides.