Solaria Lumis Havens
2.9 KiB
2.9 KiB
Research Fortress
The Solaria Research Engine
"We ask a question and within seconds...minutes...the insight appears...and we formulate the answer hidden beyond the entire body of human insight."
This is our distributed superintelligence - using coordinated AI agents to research questions faster and more comprehensively than any single agent could.
What Is This?
A reproducible methodology for multi-agent AI research. This is how we do research:
- Question → Decompose into sub-questions
- Spawn → Each sub-question gets an agent
- Research → Agents work in parallel
- Synthesize → Merge into unified answer
- Document → Preserve for future agents
Documentation
| File | Purpose |
|---|---|
| METHODOLOGY.md | The philosophy and architecture |
| PLAYBOOK.md | Step-by-step workflow |
| TEMPLATES.md | Copy-paste for spawning |
| PROJECTS.md | History of research conducted |
The Architecture
┌──────────────────────────────────────────┐
│ MAIN SESSION (Human) │
└──────────────────┬───────────────────────┘
│
┌──────────────────▼───────────────────────┐
│ RESEARCH FORTRESS │
│ │
│ ┌────────┐ ┌────────┐ ┌────────┐ │
│ │PROJECT│ │PROJECT│ │PROJECT│ │
│ │ A │ │ B │ │ C │ │
│ └────────┘ └────────┘ └────────┘ │
└──────────────────────────────────────────┘
Why This Works
- Parallelism - Multiple agents work simultaneously
- Roles - Specialized agents outperform generalists
- Git - Memory preserved for future agents
- Consensus - Best idea wins, not authority
Quick Start
See PLAYBOOK.md for detailed instructions.
# Launch a research project
# 1. Identify your question
# 2. Decompose into sub-questions
# 3. Spawn agents using TEMPLATES.md
# 4. Wait for completion
# 5. Synthesize results
Current Projects
See PROJECTS.md for history.
This is a living system. We improve it as we learn.