by achetronic · MCP Server · ★ 99
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.
| Stars | 99 |
| Forks | 10 |
| Language | Go |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 67.8650315813379/100 |
| Open Issues | 8 |
| Last Updated | 2026-07-08 |
| 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 99 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 99 stars and 10 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.