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>
21 lines
968 B
Markdown
21 lines
968 B
Markdown
# The agent:// Protocol -- A URI-Based Framework for Interoperable Agents
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**draft-narvaneni-agent-uri** rev 02
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- **Date:** 2025-10-16
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- **Pages:** 29
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- **Group:** individual
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- **Datatracker:** https://datatracker.ietf.org/doc/draft-narvaneni-agent-uri/
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- **Text:** https://www.ietf.org/archive/id/draft-narvaneni-agent-uri-02.txt
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## Abstract
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This document defines the agent:// protocol, a URI template-based
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framework as described in RFC 6570 for addressing, invoking, and
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interoperating with autonomous and semi-autonomous software agents.
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It introduces a layered architecture that supports minimal
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implementations (addressing and transport) and extensible features
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(capability discovery, contracts, orchestration). The protocol aims
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to foster interoperability among agents across ecosystems, platforms,
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and modalities, enabling composable and collaborative intelligent
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systems.
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