Building Blocks
Components
Each component is a deep exploration of a specific capability required for institutional AI. Research papers, tool landscapes, and architectural frameworks — all in one place.
Memory
A unified architecture for institutional knowledge retrieval in multi-agent systems. Four operations over three knowledge types across three memory layers.
548 papers 345+ tools
Explore Memory → Skills
Composable skill graphs for institutional AI agents. Skill acquisition, orchestration, progressive disclosure, and the teaching loop.
312 papers 206 tools
Explore Skills → Agents
Disposable agents with institutional permanence. Spawn with intent, execute with judgment, retain at death. The agent is ephemeral; the factory is permanent.
227 papers
Explore Agents →