$ loading_
Build multi-model AI agents with GUI, CLI, MCP, and plugins.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "thClaws" yet — see the docs or source repo.
Explain how to use thClaws to start a local AI agent environment with both GUI and CLI, and configure two different model providers for daily development assistance.
A local setup guide, key configuration steps, and recommendations for switching between multiple models.
Using thClaws, design a development agent workflow that can read a code repository, call MCP tools, run tests, and summarize results into change recommendations.
An automation plan covering agent responsibilities, tool-calling flow, test execution, and output format.
Use thClaws to design a multi-agent team: one for requirement analysis, one for coding, and one for testing and acceptance, and explain how they collaborate and hand off work.
A multi-agent collaboration design with role definitions, task handoffs, and deliverable descriptions.
Build multi-agent messaging apps with unified cross-platform communication APIs.
Find and reuse production-ready OpenClaw agent templates and SOUL configs.
Self-host and orchestrate multi-agent workflows with memory, scheduling, and multi-LLM support.
Use a lightweight open-source AI agent across platforms for work and coding.
Deploy and scale multi-tenant AI agent teams with strong built-in safety.
Connect Claude Code to OpenClaw agents to query, invoke, and monitor them.