No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by agentlas-ai · MCP Server · ★ 123
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Hephaestus safe to install? View the security audit →
Hephaestus — Network 2.0 Local-first agent & plugin networking: call your agents from any AI runtime, route by standardized cards, keep memory on your machine. Turn one rough agent idea into an installable Agentlas agent or team repository — then let the Hephaestus Network route every request to the right local agent, with Hub fallback only on your approval. English · 한국어 · 中文 · 日本語 · हिन्दी Paste Install · <a href="
| Stars | 123 |
| Forks | 20 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 61.408672688391/100 |
| Last Updated | 2026-07-07 |
| Created | 2026-06-04 |
| Platforms | mcp, python |
| Est. Tokens | ~21k |
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Hephaestus is Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.. It is categorized as a MCP Server with 123 GitHub stars.
Hephaestus is primarily written in Python. It covers topics such as a2a, agent, agent-framework.
You can find installation instructions and usage details in the Hephaestus GitHub repository at github.com/agentlas-ai/Hephaestus. The project has 123 stars and 20 forks, indicating an active community.
Hephaestus is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to Hephaestus on Agent Skills Hub include LiteMultiAgent, agent-builder, oreilly-ai-agents. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: