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Self-host and orchestrate multi-agent workflows with memory, scheduling, and multi-LLM support.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "swarmclaw" yet — see the docs or source repo.
Help me design a self-hosted multi-agent system architecture with swarmclaw for a software team covering requirement analysis, code generation, test execution, and deployment orchestration. Explain agent roles, memory design, task delegation flow, required MCP tools, and how to connect Claude, GPT, and Ollama.
A clear multi-agent architecture plan with role design, tool integration, and model connection guidance.
Using swarmclaw, plan a daily automated research agent workflow: fetch AI industry news on a schedule, extract key points, pass them to a second agent for a Chinese summary, and have a third agent compile a team weekly report draft. Output the scheduling, agent collaboration, and retry strategy.
An executable scheduled agent workflow covering scheduling, collaboration flow, and failure handling.
I want to build a development assistant with swarmclaw similar to Claude Code: accept requirements, break down tasks, generate code, call testing tools, summarize results, and propose fixes. Give me implementation steps, recommended agent setup, MCP tool combinations, and deployment considerations.
A practical implementation plan for end-to-end coding automation with swarmclaw.
Build multi-agent messaging apps with unified cross-platform communication APIs.
Give on-device AI agents persistent memory and hybrid context retrieval.
Coordinate independent AI agents into an engineering team with structured execution and review.
Connect AI coding agents to ClawWork for task handling and collaboration.
Connect to Swarm for memory, coordination, artifacts, and agent execution.
Build multi-model AI agents with GUI, CLI, MCP, and plugins.