swarmclaw
Self-hosted multi-agent runtime eliminates vendor lock-in and reduces inference costs by supporting 23+ LLM providers.
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, Gemini, OpenRouter, Ollama). A practical Claude Code and LangChain alternative.
- Autonomous document processing pipeline with persistent agent state
- Multi-agent code review and refactoring across repositories
- Scheduled data aggregation and report generation from multiple sources
Self-hosted multi-agent runtime eliminates vendor lock-in and reduces inference costs by supporting 23+ LLM providers. Agent memory and scheduling enable persistent, autonomous workflows without rebuilding orchestration from scratch.
Teams building internal agent systems who need fine-grained control, cost optimization across LLM providers, or compliance requirements preventing cloud-hosted inference.
https://github.com/swarmclawai/swarmclaw
By swarmclawai
How to Get It
npm install -g @swarmclawai/swarmclaw swarmclaw init Or download the one-click desktop installer (macOS, Windows, Linux) from swarmclaw.ai/downloads. Docker Compose deployment also available.
After installing, paste this into Claude:
Help me autonomous document processing pipeline with persistent agent state
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- Found this SwarmClaw dashboard that adds a full orchestration layer on top of Op — Reddit · 17 pts
- Show HN: SwarmClaw – Orchestration dashboard for OpenClaw and AI agents — Hacker News · 5 pts
- Show HN: SwarmClaw – Manage a swarm of OpenClaw agents from one self-hosted UI — Hacker News · 4 pts
3 mentions across 2 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 542 GitHub stars; contributors unknown; last commit 1d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 542 GitHub stars; contributors unknown; last commit 1d ago; license MIT.