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Build multi-agent messaging apps with unified cross-platform communication APIs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ClawSwarm" yet — see the docs or source repo.
Using ClawSwarm, design a multi-agent customer support system that connects Telegram, Discord, and WhatsApp through one interface. Include message routing, agent roles, a Claude reasoning node, retry handling, and example core API structures.
A multi-agent support architecture with agent roles, message flows, fault tolerance, and API examples.
Create a development plan for a ClawSwarm project on the Swarms framework, covering the path from prototype to Rust-compiled output. Include module design, dependency management, build flow, testing strategy, and deployment advice.
An implementation-focused development and compilation plan suitable for fast team execution.
Use ClawSwarm to design a unified messaging automation workflow: classify incoming messages from any platform, assign them to different agents, return responses in a consistent format, and keep audit logs.
A messaging automation orchestration design with classification logic, agent collaboration, and logging.
Self-host and orchestrate multi-agent workflows with memory, scheduling, and multi-LLM support.
Chat directly with the Discord-backed OpenClaw agent in real time.
Build multi-model AI agents with GUI, CLI, MCP, and plugins.
Deploy and scale multi-tenant AI agent teams with strong built-in safety.
Connect AI assistants to OpenClaw agents, sessions, and workspace files.
Find and reuse production-ready OpenClaw agent templates and SOUL configs.