You're drowning in context windows and API costs. Your AI forgets everything, can't make decisions, and requires constant supervision. You need tools that run autonomously, remember everything, and actually get work done.
AI That Remembers, Decides, and Acts
External: Your AI forgets everything between sessions. Every conversation starts from scratch—repeating context, re-explaining constraints, rebuilding the same mental model.
Internal: You're frustrated wasting time on babysitting instead of building. You know there's a better way, but chatbots don't cut it.
Philosophical: AI should augment your capabilities, not create more work. You want autonomy, not another tool you have to micromanage.
We built Aegis because we felt this too. After watching developers spend hours re-prompting AI, we created the platform we wished existed: persistent memory, autonomous task execution, and transparent decision-making.
Know What's Happening Before It's Obvious
The problem: You're reading the same biased sources as everyone else. By the time you piece together what's happening, the opportunity is gone.
The solution: Automated briefings from 15+ sources with bias detection. Get the full picture in 5 minutes instead of 5 hours.
Your Research, Your Servers, Your Data
The problem: You're uploading sensitive research to cloud AI tools with unclear data policies. You can't search across sources without re-reading everything.
The solution: A self-hosted research assistant. Import anything, ask questions across all your sources, keep everything on your own infrastructure.
Every conversation starts from scratch. You paste the same background, explain the same constraints, re-establish the same goals. Over and over.
You know one source isn't enough. But cross-referencing 10 sources manually takes hours. By then, the news cycle has moved on.
"I know I read this somewhere." But where? In which PDF? On which website? Searching means re-scanning everything.
Every AI tool wants your data on their servers. But your research, your strategy, your competitive intel? That should stay on YOUR infrastructure.
Without autonomous AI, you'll keep:
⚠ Repeating the same context every session
⚠ Burning budget on overpriced models
⚠ Uploading sensitive data to third-party clouds
⚠ Watching competitors ship while you prompt-engineer
With Aegis, you get:
✓ AI that remembers everything and learns from every interaction
✓ 70% lower costs through intelligent model routing
✓ Complete data sovereignty on your own infrastructure
✓ Time back to focus on strategy, not prompting
1. Clone the repo from GitHub
2. Deploy to your infrastructure (Docker/Kubernetes/bare metal)
3. Configure your MCP servers and let Aegis run
Questions? aegis@aegisagent.ai | API Docs | Architecture
Zero lock-in guarantee: Open source means you own the code. No surprise pricing, no vendor dependency, no data leaving your servers unless you choose. Fork it, modify it, run it forever.