Enables local deterministic scoring for startup audits with twenty pure-function tools, allowing GO/KILL verdicts, composite scores, market, money, and signal calculations without accounts, network, or model calls.
Provides MCP-compatible AI agents with read access to a LifeOS knowledge base, exposing identity, preferences, projects, wiki, skills, and rules via tools and resources.
Exposes a version-controlled knowledge base as MCP tools so agents can read merged identity/state summaries and next recommended actions at runtime, plus run deterministic schema validation and cross-reference link checks. This lets agents fetch live state and verify integrity via self-describing calls instead of re-reading raw files.
Enables AI agents to score live URLs against a 40-check design contract, validate DTCG tokens and Lottie animations, audit accessibility, and retrieve design-system contracts, catalogs, and review rubrics.
Provides access to the AgentScore Registry on Base Sepolia to retrieve agent reputation scores, history, and registration details. It enables trustless querying of agent performance metrics through standard Model Context Protocol tools.