by achetronic
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.
# Add to your Claude Code skills
git clone https://github.com/achetronic/magecLast scanned: 7/6/2026
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"line": 32,
"type": "remote-install",
"message": "Install command (remote install script piped to a shell — review the source before running): \"curl -fsSL https://raw.githubusercontent.com/achetronic/magec/master/scripts/ins\"",
"severity": "low"
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"status": "PASSED",
"scannedAt": "2026-07-06T08:19:31.219Z",
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}magec is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by achetronic. 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 has 100 GitHub stars.
Yes. magec passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/achetronic/magec" and add it to your Claude Code skills directory (see the Installation section above).
magec is primarily written in Go. It is open-source under achetronic on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh magec against similar tools.
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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.
curl -fsSL https://raw.githubusercontent.com/achetronic/magec/master/scripts/install.sh | bash
Downloads a Docker Compose file with everything: LLM (Ollama), STT (Parakeet), TTS (Edge TTS), embeddings, Redis, PostgreSQL. Add --gpu for NVIDIA acceleration.
docker run -d --name magec \
-p 8080:8080 -p 8081:8081 \
-v $(pwd)/config.yaml:/app/config.yaml \
-v magec_data:/app/data \
ghcr.io/achetronic/magec:latest
Create backends, agents, and clients from the Admin UI. See the Docker Quick Start guide.
Download from Releases, extract, and run:
./magec --config config.yaml
Ideal for local MCP tools (filesystem, git, shell). See the Binary Installation guide.
Admin UI → http://localhost:8081 · Voice UI → http://localhost:8080
See all screenshots in the documentation.
Full docs at magec.dev/docs — installation, configuration, agents, flows, backends, memory, MCP tools, clients, voice system, and API reference.
| Command | Description |
|---|---|
make build |
Build frontend UIs + embed models + compile server binary |
make dev |
Build all and start server |
make dev-admin |
Start Admin UI dev server (Vite, hot-reload) |
make dev-voice |
Start Voice UI dev server (Vite, hot-reload) |
make swagger |
Regenerate Swagger docs |
make infra |
Start PostgreSQL + Redis |
make ollama |
Start Ollama with qwen3:8b + nomic-embed-text |
make docker-build |
Build Docker image (current arch) |
make docker-buildx |
Build multi-arch image (amd64 + arm64) |
make clean |
Remove build artifacts |
| Dependency | Purpose |
|---|---|
| google.golang.org/adk | Google Agent Development Kit |
| modelcontextprotocol/go-sdk | MCP client |
| yalue/onnxruntime_go | ONNX Runtime for wake word / VAD |
| mymmrac/telego | Telegram bot |
| achetronic/adk-utils-go | ADK providers, session, memory |
| Who | What |
|---|---|
| @travisvn | Built the ARM64 Docker image for OpenAI Edge TTS in record time. This is the local TTS service we recommend — it exposes an OpenAI-compatible API (/v1/audio/speech) that uses Microsoft Edge's free neural voices under the hood, so Magec can use it as a drop-in replacement for OpenAI TTS. |
Apache 2.0 — Alby Hernández