GitHub Repository

Agenda Intelligence — product runtime + evidence-discipline layer for strategic-intelligence agents. One core service layer behind four surfaces (MCP, HTTP, A2A, Cloudflare Worker). Four live vertical workers: deal-risk, secondary-sanctions, agentic-trust, Gulf maritime exposure. No live retrieval, no factual verification.

4 starsPython

Agenda Intel MD – schemas and CLI to audit LLM strategic-risk briefs

Name: Agenda Intel MD – schemas and CLI to audit LLM strategic-risk briefs
Availability: InStock
Author: vassilbek

by vassilbek·May 16, 2026·1 point·0 comments

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AI Analysis

●●SolidNiche GemBig Brain

Schema-valid evidence packs for AI agents when generic evals miss domain nuance.

Strengths

•Claim-level provenance tags (primary, inference, judgment) enforce strict evidence discipline.
•Stdio MCP server integration allows agents to self-correct during generation loops.
•Signal lifecycle tracker schema handles evolving geopolitical situations over time.

Weaknesses

•Extremely narrow audience; irrelevant for general-purpose application developers.
•Relies on human-defined rubrics rather than automated fact-checking against live data.