by achetronic · MCP Server · ★ 98
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 98 |
| Forks | 9 |
| Language | Go |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 67.8650315813379/100 |
| Open Issues | 8 |
| Last Updated | 2026-06-26 |
| 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 98 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 98 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.
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