modelscope/ms-agent

Health v2 · maintenance only

Adoption not part of the score

4369 stars · 517 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

MS-Agent is a lightweight Python framework from ModelScope for building LLM-powered agents with autonomous exploration capabilities. It supports MCP-based tool calling, deep research workflows, code generation, agent skills, and a local WebUI with SSE streaming.

Use cases

• build a chatbot that calls tools via MCP
• run deep research tasks with autonomous exploration
• generate code artifacts with an LLM agent
• create a multi-agent system for complex task execution
• add reusable skills and memory to an LLM agent
• generate short videos with an agent pipeline

When to choose

• you want a lightweight, extensible Python agent framework with MCP support
• you need deep research or agentic search capabilities out of the box
• you want a local WebUI for interacting with agents
• you are in the ModelScope ecosystem and want integration with it

When to avoid

• you need a heavyweight production multi-agent orchestration platform with enterprise features
• you are not working in Python or with LLMs
• you need a no-code agent builder for non-developers

Facets

framework · maturity active

agent-framework llm-inference chatbot mcp rag artificial-intelligence large-language-models developer-tools python cross-platform deep-research multi-agent tool-calling mcp-support agentic-search memory short-video-generation webui code-generation ai-agents web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="modelscope/ms-agent")