modelscope/agentscope
Agentscope
AgentScope is a multi-agent framework and orchestration platform designed for building and coordinating teams of language model agents. It provides a system for managing multiple agents that collaborate to solve complex tasks through structured communication and state sharing.
The project distinguishes itself with a focus on production-ready deployment and security, featuring a multi-tenant hosting service that ensures session isolation between different users. It includes a sandboxed tool execution environment and fine-grained permission controls to manage how agents access system resources and whether tool calls require manual human confirmation.
The platform covers a broad range of capabilities, including hierarchical agent orchestration and dynamic task planning to decompose intricate goals. It also incorporates observability tools such as an agent monitoring interface and an event-bus system for real-time activity tracking, alongside a composable middleware system for customizing agent reasoning loops.
Features
- Agent Orchestration Platforms - Provides a comprehensive platform for managing, monitoring, and coordinating the execution of multi-agent teams and their workflows.
- Multi-Agent Orchestration Frameworks - Provides a comprehensive framework for coordinating and managing the collaboration of multiple intelligent agents.
- Agentic Workflow Automation - Enables the design of reasoning loops and planning steps to automate intricate goals via agent interactions.
- Agent Team Orchestration - Implements a leadership model for orchestrating agent teams, including worker agent spawning and coordination.
- Hierarchical Agent Orchestration - Ships an architecture for managing multi-agent systems using a manager-worker delegation hierarchy.
- Multi-Agent Systems - Provides a system for designing and managing specialized autonomous agents that collaborate on complex tasks.
- Multi-Agent Frameworks - Implements a framework for coordinating multiple autonomous LLM agents into collaborative teams using structured delegation and communication.
- Task Planning Systems - Includes systems for decomposing complex objectives into tracked steps and updating progress dynamically.
- Multi-Tenant Agent Deployment - Hosts isolated agent sessions for different users through a scalable service with a web interface.
- Agent Hosting Services - Provides an extensible service for hosting agents with multi-tenant support and concurrent session management.
- AI Agent Tenant Isolation - Implements security mechanisms to isolate data and execution environments for different tenants in AI agent infrastructure.
- Tool Permission Controllers - Provides mechanisms to restrict agent access to specific tools using configurable settings and manual confirmations.
- Agent Execution Environments - Provides isolated runtimes for running agent-driven code with fine-grained control over system resource permissions.
- Agent Monitoring - Includes tools for tracking and visualizing the decision-making processes of language model agents.
- Customizable Reasoning Loops - Implements a composable middleware system for injecting custom logic into the agent act-reason cycle.
- Reasoning Middleware Pipelines - Provides a composable middleware system to inject custom logic into the agent reasoning-action cycle.
- Tool Execution Permissions - Provides a control mechanism to require manual human confirmation for agent tool calls or enable bypass mode.
- Agent Conversation Resumers - Moves long-running tool executions to the background to prevent blocking the active conversation flow.
- Code Execution Sandboxes - Implements a security layer that runs tools and custom code in isolated environments to prevent system interference.
- Multi-Tenant Agent Hosting - Ships a multi-tenant hosting service that ensures session isolation between different users for concurrent agent deployment.
- Data and Resource Permissions - Provides fine-grained controls to restrict agent access to specific tools and system resources through configurable permissions.
- Sandboxed Execution Environments - Provides a secure system for running agent-triggered code within isolated local or containerized environments.
- Asynchronous Task Processing - Implements architectural patterns for offloading long-running tool calls to maintain conversation responsiveness.
- AI and Agent Observability - Includes instrumentation and visualization tools for tracking agent interactions and decision-making processes to ensure transparency.
- Agent Interaction Monitors - Provides a visualization tool for observing and interacting with live AI agent execution streams in real-time.
- Agent Frameworks - Framework for building LLM-empowered multi-agent systems.
- Agentic AI - Listed in the “Agentic AI” section of the The Incredible Pytorch awesome list.
