SwarmClaw
by Community
Open-source self-hosted AI agent runtime and multi-agent framework for autonomous agent swarms. Agent memory, MCP tools, schedules, delegation, and 23+ LLM providers (Claude, GPT,
OSS
SwarmClaw
Added 1 June 2026
Overview
SwarmClaw is an open-source, self-hosted runtime and framework for building and running autonomous multi-agent swarms. It provides agent memory, MCP tools, scheduling, delegation, and supports 23+ LLM providers including Claude, GPT, Gemini, OpenRouter, and Ollama.
Best for
Best for
Developers who need a self-hosted, multi-agent framework with broad LLM support and want to avoid vendor lock-in.
Use cases
- Deploying autonomous agent swarms for complex task orchestration
- Building multi-agent systems with memory and tool integration
- Replacing Claude Code or LangChain in self-hosted environments
Notes
SwarmClaw is an open-source, self-hosted runtime and framework for building and running autonomous multi-agent swarms. It provides agent memory, MCP tools, scheduling, delegation, and supports 23+ LLM providers including Claude, GPT, Gemini, OpenRouter, and Ollama.
539 stars on GitHub. Last updated 2026-05-26. Licensed MIT.
Use cases
- Deploying autonomous agent swarms for complex task orchestration
- Building multi-agent systems with memory and tool integration
- Replacing Claude Code or LangChain in self-hosted environments
Pros
- Fully self-hosted, giving full control over data and infrastructure
- Broad LLM provider support reduces vendor lock-in
- Includes built-in agent memory, scheduling, and delegation
Cons
- Small community (539 stars) means less support and fewer integrations
- Self-hosting requires operational overhead and infrastructure management
- Documentation and ecosystem maturity may lag behind larger frameworks
Indexed from awesome-llmops and enriched against its public facts.
Pros
- Fully self-hosted, giving full control over data and infrastructure
- Broad LLM provider support reduces vendor lock-in
- Includes built-in agent memory, scheduling, and delegation
Cons
- Small community (539 stars) means less support and fewer integrations
- Self-hosting requires operational overhead and infrastructure management
- Documentation and ecosystem maturity may lag behind larger frameworks
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