Reliable Agents with Agentscope
Agentscope allows founders to build, run, and understand trustworthy agents with transparent and understandable bots using Python
- •When building autonomous agents that require transparency and trust
- •For creating explainable bots that interact with users or other systems
- •In applications where understanding agent behavior is crucial for decision-making
python agent.py --config examples/my_agent.yaml
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/agentscope && curl -fsSL https://workflowstacks.com/api/skills/agentscope/claude-skill -o ~/.claude/skills/agentscope/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Reliable Agents with Agentscope is a very large Python project (~125k lines across 659 code files, plus 157 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2pyproject.tomlDependencies and the commands it exposes
- 3src/agentscope/__init__.pyInside src/ — the main logic begins here
- 4examples/agent_service/README.mdA worked example — copy this to get going
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/agentscope && curl -fsSL https://workflowstacks.com/api/skills/agentscope/claude-skill -o ~/.claude/skills/agentscope/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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