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Build, run, inspect, and debug AI agents with better visibility.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agentscope" yet — see the docs or source repo.
Use agentscope to build an AI agent prototype that answers product documentation questions, and show its workflow, tool calls, and intermediate reasoning steps.
A runnable agent prototype with clear execution traces and debugging visibility.
My multi-step agent often fails during tool calls. Use agentscope to identify which step breaks and suggest improvements.
Identification of the failing step, likely causes, and actionable fixes and optimizations.
Use agentscope to design and run a multi-agent workflow for retrieval, summarization, and review, and output execution logs for each role.
A multi-agent collaboration example with role breakdowns, results, and full execution records.
Relay messages and share files between ChatGPT and local coding agents.
Build multi-agent workflows to automate coding, analysis, and task orchestration.
Coordinate multiple AI agents in one Git repo and prevent conflicts early.
Control iOS and Android devices from CLI for automation and agent testing.
Give coding agents memory, validation, and feedback across sessions.
Lets local AI sessions message peers directly through channels.