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ms-agent

by modelscope4.4kPythonUpdated 2026-09-02

MS-Agent: a lightweight framework to empower agentic execution of complex tasks

MS-Agent is a lightweight framework for building autonomous AI agents with complex task execution capabilities. It provides multi-agent workflows, MCP (Model Context Protocol) support, deep research functionality, code generation, and video generation features. Developers can create agents that perform autonomous exploration, tool calling, knowledge-driven skill execution, and multi-modal content generation. The framework supports memory, sandbox execution, and various specialized workflows like financial research, document analysis, and short video production.

Key Features

Multi-agent chat with MCP (Model Context Protocol) tool-calling support for general-purpose tasks
Deep Research (Agentic Insight v2) framework achieving #2 open-source ranking on DeepResearch Bench
Agent Skills system implementing Anthropic's Agent Skills protocol with DAG-based execution and intelligent retrieval
Code Genesis workflow for end-to-end software project generation from natural language requirements
FinResearch multi-agent workflow for quantitative financial analysis and sentiment research
Doc Research capabilities for deep document analysis, multi-file uploads, and multimodal report generation
Singularity Cinema for automated short video generation with script-to-storyboard workflow
Secure execution environment using Docker sandboxes (ms-enclave) and LSP-integrated validation

Use Cases

  • 01Building conversational agents with tool-calling capabilities and MCP server integration
  • 02Conducting autonomous deep research on complex topics with multi-modal report generation
  • 03Generating complete software projects from natural language descriptions with automatic validation
  • 04Performing financial market research combining quantitative data and sentiment analysis
  • 05Analyzing and summarizing large document collections with multimodal outputs
  • 06Creating educational or promotional short videos from text prompts or knowledge documents

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ms-agent — FAQ

What is MS-Agent?+

MS-Agent is a lightweight Python framework for building autonomous AI agents that can perform complex tasks like code generation, deep research, document analysis, and video generation. It supports MCP integration, multi-agent workflows, and secure sandbox execution.

How do I install MS-Agent?+

Install via PyPI with 'pip install ms-agent' for basic functionality or 'pip install ms-agent[research]' for deep research features. Alternatively, clone the GitHub repository and run 'pip install -e .' for source installation. Python 3.10 or higher is required.

What API keys are required to use MS-Agent?+

A ModelScope API key is required and should be set via 'export MODELSCOPE_API_KEY=your_key'. Additional keys may be needed depending on features: DASHSCOPE_API_KEY for memory, EXA_API_KEY or SERPAPI_API_KEY for search, and OPENAI_API_KEY for certain workflows.

Which AI clients work with MS-Agent?+

MS-Agent is a standalone framework that works with MCP-compatible servers and provides its own WebUI. It integrates with ModelScope's API inference service and supports various LLM providers through OpenAI-compatible APIs.

Is MS-Agent free to use?+

MS-Agent itself is open-source under the Apache 2.0 license. ModelScope users get free LLM API inference calls, though external services like search APIs or specific model providers may have their own costs.

What is the Agent Skills feature?+

Agent Skills is MS-Agent's implementation of Anthropic's Agent Skills protocol, providing knowledge-driven reusable procedural skills with intelligent retrieval, DAG-based execution, progressive disclosure, and self-healing capabilities.

How do I install ms-agent?+

Open the source repository on GitHub and follow its README. ms-agent is a agent — MCP Agents Market links you directly to the official repo.

Is ms-agent free?+

ms-agent is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.

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