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 achetronic · MCP Server · ★ 103
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is magec safe to install? View the security audit →
Magec Self-hosted multi-agent AI platform with voice, visual workflows, and tool integration. Website · Docs · Quick Start Define multiple AI agents, each with its own LLM, memory, and tools. Chain them into multi-step workflows. Access via voice, Telegram, webhooks, or cron. Manage it all from a visual admin panel. Your server, your data, your rules. Quick Start One-line install (fully local, no API keys) Downloads a Docker Compose file with everything: LLM (Ollama), STT (Parakeet), TTS (Edge TTS), embeddings, Redis, PostgreSQL. Add for NVIDIA acceleration. Docker with OpenAI (minimal) Create backends, agents, and clients from the Admin UI. See the Docker Quick Start guide. Binary Download from Releases, ext
| Stars | 103 |
| Forks | 9 |
| Language | Go |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 68.9813274057677/100 |
| Open Issues | 8 |
| Last Updated | 2026-08-19 |
| Created | 2026-01-18 |
| Platforms | browser, go, mcp |
| Est. Tokens | ~17k |
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magec is Multi-agent AI platform with voice and text control. Visual workflows, web interface, and chat integrations (Telegram, Discord, Slack). Long-term memory, any LLM backend, extensible via MCP tools.. It is categorized as a MCP Server with 103 GitHub stars.
magec is primarily written in Go. It covers topics such as ai-assistant, ai-workflows, long-term-memory.
You can find installation instructions and usage details in the magec GitHub repository at github.com/achetronic/magec. The project has 103 stars and 9 forks, indicating an active community.
magec is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to magec on Agent Skills Hub include mira-OSS, claude-capsule-kit, openclaw-config. 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: