Agenda Intelligence MD – evidence-discipline MCP layer for agents
Evidence-discipline layer for agents solving hallucination in geopolitical risk analysis.
Local-first code intelligence MCP for AI coding agents.
Evidence-discipline layer for agents solving hallucination in geopolitical risk analysis.
Agent-agnostic Markdown protocol that outlives sessions and travels in git.
Real-time context sync across Claude Code, Codex, Cursor—solves actual agent isolation.
SHA-256 hash chains and SMT proofs make AI agent logs actually verifiable.
Git worktree isolation keeps parallel AI agents from breaking main branch.