by enapt · MCP Server · ★ 61
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
docker run -p 8800:8800 -v swarmllm-data:/data ghcr.io/enapt/swarmllm:latest
docker run --gpus all -p 8800:8800 -v swarmllm-data:/data ghcr.io/enapt/swarmllm:latest-cudaTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 61 |
| Forks | 11 |
| Language | Rust |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 68/100 |
| Open Issues | 2 |
| Last Updated | 2026-10-22 |
| Created | 2026-02-24 |
| Platforms | claude-code, mcp, rust |
| Est. Tokens | ~32k |
SwarmLLM A peer-to-peer LLM inference network in a single Rust binary. Pool hardware with other nodes to run 70B+ parameter models on machines that couldn't host them alone — no API tokens, no cloud fees, and encrypted traffic between every peer. Join the swarm. Run AI together — for free. Status — alpha, actively developed. Distributed inference is stable across multi-node deployments.
These tools work well together with SwarmLLM for enhanced workflows:
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: