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mcp-server

Reliable Agents with Agentscope

Build trustworthy agents with Agentscope, for founders, with 28k+ GitHub stars, enabling transparent and understandable bots.
28,043 stars3,227 forksPythonQuality 9/10Updated 7/20/2026100% free ยท open source
What it does

Agentscope allows founders to build, run, and understand trustworthy agents with transparent and understandable bots using Python

Install / run
git clone https://github.com/agentscope-ai/agentscope.git
When to use it
  • โ€ขWhen building autonomous agents that require transparency and trust
  • โ€ขFor creating explainable bots that interact with users or other systems
  • โ€ขIn applications where understanding agent behavior is crucial for decision-making
Quick start
  1. 1Navigate to the cloned repository with `cd agentscope`
  2. 2Run `pip install -r requirements.txt` to set up the Python environment
  3. 3Explore the `examples` directory for sample agent configurations
  4. 4Modify the `agent.py` file to define your custom agent logic
  5. 5Run your agent with `python agent.py` to see it in action
Ready-to-paste prompt
python agent.py --config examples/my_agent.yaml
Heads up: Ensure you have Python 3.8 or later installed, as Agentscope relies on specific Python features and libraries
Saves to your device

Topics

agent
chatbot
large-language-models
llm
llm-agent
mcp
multi-agent
multi-modal
react-agent
What's inside โ€” free to inspect
No purchase needed

Read the entire source before you build โ€” unlike paid marketplaces that hide it behind a buy button.

8
top-level files
8
folders
60.7M
repo size
Apache-2.0
license
Key files
.pre-commit-config.yaml
README_zh.md
README.md
File tree
.gemini/
.github/
assets/
docs/
examples/
scripts/
src/
tests/
.gitignore
.pre-commit-config.yaml
CONTRIBUTING_zh.md
CONTRIBUTING.md
LICENSE
pyproject.toml
README_zh.md
README.md
Quick Actions
Details
Creator
agentscope-ai
Language
Python
Category
mcp-server
Published
1/12/2024

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