IETF Draft Analyzer v0.1.0 — track, categorize, and rate AI/agent drafts

Python CLI tool that fetches AI/agent-related Internet-Drafts from the IETF
Datatracker, rates them using Claude, generates embeddings via Ollama for
similarity/clustering, and produces markdown reports.

Features:
- Fetch drafts by keyword from Datatracker API with full text download
- Batch analysis with Claude (token-optimized, responses cached in SQLite)
- Embedding-based similarity search and overlap cluster detection
- Reports: overview, landscape by category, overlap clusters, weekly digest
- SQLite with FTS5 for full-text search across 260 tracked drafts

Initial analysis of 260 drafts reveals OAuth agent auth (13 drafts) and
agent gateway/collaboration (10 drafts) as the most crowded clusters,
while AI safety/alignment is underserved with the highest quality scores.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

data/reports/draft-narvaneni-agent-uri.md

@@ -0,0 +1,21 @@
+# The agent:// Protocol -- A URI-Based Framework for Interoperable Agents
+**draft-narvaneni-agent-uri** rev 02
+
+- **Date:** 2025-10-16
+- **Pages:** 29
+- **Group:** individual
+- **Datatracker:** https://datatracker.ietf.org/doc/draft-narvaneni-agent-uri/
+- **Text:** https://www.ietf.org/archive/id/draft-narvaneni-agent-uri-02.txt
+
+## Abstract
+This document defines the agent:// protocol, a URI template-based
+   framework as described in RFC 6570 for addressing, invoking, and
+   interoperating with autonomous and semi-autonomous software agents.
+   It introduces a layered architecture that supports minimal
+   implementations (addressing and transport) and extensible features
+   (capability discovery, contracts, orchestration).  The protocol aims
+   to foster interoperability among agents across ecosystems, platforms,
+   and modalities, enabling composable and collaborative intelligent
+   systems.
+
+*Not yet rated — run `ietf analyze` to generate a rating.*