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AEGIS is not a chatbot. It is not a wrapper around an LLM.
It is a control plane — an operating system layer that sits above AI runtimes and governs them. Where most AI projects ask "which model should I call?", AEGIS asks "what capability is required?"
What makes AEGIS different¶
Most AI systems are built around a specific model or runtime. Swap the model, and the system breaks. AEGIS inverts this: every AI engine — Anthropic, OpenAI, Ollama, a local model — is just an adapter behind a fixed interface. AEGIS decides what capability is needed, finds the best available engine that can deliver it, and routes the work there. No engine is load-bearing.
Current status¶
AEGIS is at v1.1.0 and entering Phase 12 — Public Website + Distribution. Phases 0–11 are complete and tagged — through the module marketplace, production hardening, native desktop app (Tauri), Android app (Capacitor), Whisper STT + Piper TTS voice with wake word, and Memory Fabric tags.
| Phase | Name | Status |
|---|---|---|
| 0 | Governance & Repo Foundation | ✅ Complete |
| 1 | Runtime Baseline | ✅ Complete |
| 2 | Control Plane Core | ✅ Complete |
| 3 | Cognitive Layer | ✅ Complete |
| 4 | Execution Graph (DAG Engine) | ✅ Complete |
| 5 | Agent System | ✅ Complete |
| 6 | Shared Services + API | ✅ Complete |
| 7 | Module System + AI Skills | ✅ Complete |
| 8 | UI (Web App Foundation) | ✅ Complete |
| 9 | Ecosystem / Marketplace | ✅ Complete |
| 10 | Production Hardening | ✅ Complete |
| 11 | Desktop + Mobile Apps | ✅ Complete |
| 12 | Public Website + Distribution | 🔄 Next |
| 13 | Knowledge Foundation | ⏳ Planned |
| 14 | Obsidian Bridge | ⏳ Planned |
| 15 | Platform Polish | ⏳ Planned |
| 16 | Connected Services | ⏳ Planned |
| 17 | Background Intelligence | ⏳ Planned |
| 18 | Workspace & Projects | ⏳ Planned |
See the full Roadmap → for scope, exit criteria, and the Runtime Independence Thread.
Get started¶
Prerequisites & setup 🏗 Architecture
Layers & design 🗺 Roadmap
19-phase plan 📖 Manuals
Config & operations