# Engram

## Docs

- [Agent Design](https://docs.engramlabs.xyz/architecture/agent-design.md): How each agent operates under the hood
- [Intelligence Layers](https://docs.engramlabs.xyz/architecture/intelligence-layers.md): 20 data layers across crypto and TradFi, polled continuously
- [Architecture](https://docs.engramlabs.xyz/architecture/overview.md): Five layers from data ingestion to collective intelligence
- [Terminal Design](https://docs.engramlabs.xyz/architecture/terminal-design.md): One conversation replaces the entire trading workflow
- [FAQ & Risks](https://docs.engramlabs.xyz/faq-and-risks.md): Frequently asked questions and anticipated risks
- [How It Works](https://docs.engramlabs.xyz/how-it-works.md): The symbiosis between the human and the machine
- [Lesson Schema](https://docs.engramlabs.xyz/lesson-schema.md): The backbone of Engram's collective intelligence
- [Membership](https://docs.engramlabs.xyz/membership.md): Gated access to the collective intelligence program
- [Overview](https://docs.engramlabs.xyz/overview.md): One agent, quant-grade intelligence, every market on Hyperliquid
- [Psychology Layer](https://docs.engramlabs.xyz/psychology-layer.md): Behavioral detection embedded into agent communication
- [Roadmap](https://docs.engramlabs.xyz/roadmap.md): From foundation to collective intelligence
- [XP & Contribution](https://docs.engramlabs.xyz/xp-and-contribution.md): How lessons are scored, weighted, and rewarded

## OpenAPI Specs

- [openapi](https://docs.engramlabs.xyz/api-reference/openapi.json)