Sage is built on independently runnable components that work together: a fee-sponsoring + execution layer, an instant deterministic scoring layer, and a conversational AI agent layer — all anchored on a Squads V4 multisig.Documentation Index
Fetch the complete documentation index at: https://sage-f6b5014e.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
Architecture
System overview, component breakdown, and data flow diagrams.
Risk Scoring
How proposals are scored 0–100 against behavioral patterns and policy rules.
Agent
The Nanobot skill pack — commands, lifecycle, MCP security tools, and Telegram glue.
On-Chain
Squads V4 program, multisig layout, PDAs, and the sponsored transaction model.
Design Principles
- No LLM on the hot path — risk scoring is deterministic and instant. The agent only steps in after a verdict is reached, for communication and ad-hoc analysis.
- Squads V4 is the foundation — battle-tested multisig infrastructure. Sage adds intelligence on top without replacing key management.
- The server owns the second key — Sage holds a member key with
Executepermission. No approved transfer executes without it, making it genuinely agentic. - Sponsored end to end — the server is the fee payer and rent collector for every transaction, so users never need SOL.
- Continuous learning — behavioral patterns are recorded after every executed transfer; the profile improves automatically.
- Conversational, not authoritative — the agent calls endpoints and reports results; it never makes the deterministic decision itself.