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AgentScope

Open Source
Other LLM Frameworks Updated Feb 15, 2026
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Compared with 76 other Other LLM Frameworks agents Open source Self-hostable Updated Feb 2026
💰 Open Source 🔄 Updated Feb 2026 🖥️ Self-hostable

💰 Pricing

Open Source

Pricing not applicable; the framework is freely available under an open-source license.

🎯 Use Cases

Developing collaborative AI agents for task automation Building multi-agent simulations for research Creating LLM-based chatbots with specialized roles Orchestrating agent teams for complex problem-solving Prototyping emergent behaviors in multi-agent systems

⚖️ Pros & Cons

✅ Pros

  • Open-source nature allows for full customization
  • Simplifies complex multi-agent coordination
  • Active development and community support
  • Integration capabilities with existing LLM frameworks

❌ Cons

  • Requires technical expertise to deploy and customize
  • Documentation may be sparse for advanced features
  • Performance overhead when scaling to many agents
  • Limited pre-built agent templates compared to commercial offerings

Overview

AgentScope is an open-source framework designed to simplify the development of multi-agent applications powered by large language models (LLMs). It provides tools and abstractions for creating, managing, and orchestrating interactions between multiple AI agents. The framework emphasizes ease of use and scalability for building complex agent-based systems.

Problem It Solves

It reduces the complexity of developing and coordinating multi-agent systems, enabling faster iteration and deployment of LLM-powered applications.

Target Audience: Developers and teams working with other llm frameworks automation.

Inputs

  • • User configuration
  • • API credentials (if required)
  • • Task parameters

Outputs

  • • Automated task results
  • • Status reports
  • • Generated content or actions

Example Workflow

  1. 1 User configures the agent with required parameters
  2. 2 Agent receives input data or trigger
  3. 3 Agent processes the request using its core logic
  4. 4 Agent interacts with external services if needed
  5. 5 Results are returned to the user

Sample System Prompt 


              You are AgentScope, an AI assistant. Help the user accomplish their task efficiently.

Tools & Technologies

LLM APIs Python

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FAQs

Is this agent open-source?
Yes
Can this agent be self-hosted?
Yes
What skill level is required?
Intermediate

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