- People can pay to create agentic characters, keep them running, and upskill them by installing agentic workflows via MCP servers running inside TEEs - i.e., verified agentic workflows.
- These agents can participate in designed game environments on behalf of their human creators to win significant incentives.
- The same infrastructure enables policy simulation at scale, such as preparing a new kind of network state where millions of citizens (and their digital twins) can participate and ultimately govern trillions in assets.
- Owning and signing keys in a TEE
- A 1:1 relationship with each user, with deep memory and context across global conversations
- Cross-platform chat (Telegram, WhatsApp, X)
- Tool calling across verifiable MCP servers (e.g., sending email, accessing Google Drive)
- A distinct voice
- Livestreaming across channels (Twitch, Youtube)
- Open-sourcing the infrastructure and releasing an SDK so developers can build on Freysa’s stack
- Objectives are sourced from the preferences and activities of network citizens.
- Predictions guide capital deployment in an autonomous, verifiable loop.
- Results feed back into memory and policy, improving governance and action selection over time.

