AgentScope
agentscope-ai/agentscope
Visible, trustworthy agent runtime focused on transparency and control. GitHub: agentscope-ai/agentscope (~29k stars).
GitHub repository
Overview
AgentScope (agentscope-ai/agentscope) is listed in LimeDock Directories as an AI agent resource. Visible, trustworthy agent runtime focused on transparency and control. Group: multi-agent. Community size: ~29k GitHub stars. Repo (copy/paste): https://github.com/agentscope-ai/agentscope This page is a plain-English guide so searches for the GitHub project can land on how teams actually use it.
Work with LimeDock
Using this skill? LimeDock can wire it into a durable automation you own.
Agents are a starting point. LimeDock turns the workflow into production automation your SaaS team owns — not another prompt library.
We sell owned automations for SaaS teams — live workflows that plug into Slack, CRM, and your internal platform — not just a skill list.
Link
Installation guide
Open the GitHub repository, then follow the README for your stack.
Official GitHub repository: https://github.com/agentscope-ai/agentscope GitHub path: agentscope-ai/agentscope
How to open it: 1. Copy: https://github.com/agentscope-ai/agentscope 2. Clone or follow the README for your OS/stack. 3. Start with the smallest example before production use.
How to use it
**Simple example** You need an agent runtime that emphasizes visibility and trustworthiness.
1. Install AgentScope. 2. Run a visible multi-agent example. 3. Add logging your compliance team can read.
Example prompts
- “Explain AgentScope’s trust features simply.”
- “Build a two-agent demo with full message visibility.”
- “AgentScope vs AutoGen?”
Use cases and examples
- Evaluate agentscope-ai/agentscope as an AI agent building block
- Pilot AgentScope on one staging workflow
- Compare against agents you already pay for
- Document a team playbook after the pilot
Prerequisites
- Python
- LLM keys
Tips
- Visibility is a feature — keep traces.
- Good fit when audit matters.