Chris Nennemann
6771a4c235
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>
968 B
968 B
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.
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