SymbolicAI explores a neurosymbolic approach to large language models.
AgentScope
AgentScope helps developers build and run AI agents with tools for understanding their behavior.

About AgentScope
AgentScope is an open-source framework for building and running AI agents with language models. It is published as a GitHub repository with Python code, documentation, and examples. The project focuses on making agent reasoning, tool calls, and outputs visible through a unified event system.
With it, developers can compose agents from building blocks such as a reasoning-acting loop, tool management for Python tools and MCP servers, and connections to models from several providers. It also provides context handling, memory backends, permission checks with human confirmation, and isolated execution in local or container-based sandboxes. Installation is via pip or from source, and requires Python 3.11 or higher.
AgentScope suits developers building Python-based agents who want to inspect behavior and manage tools, models, and multi-agent workflows.
Key features
- ReAct agent loop with structured output and tool use
- Toolkit for Python tools, MCP servers and skills
- Works with models from OpenAI, Anthropic, Gemini and others
- Context handling with compaction and memory injection
- Permission controls with confirmation for tool calls
- Isolated code execution in Docker and other sandboxes
- Open source with documentation and examples
- Supports multiple model providers
- Includes event streaming for reasoning and tool calls
- Requires Python 3.11 or higher
- Requires code setup and model API credentials
AgentScope at a glance
- Category
- AI & Machine Learning › AI Agents & Automation
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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