The Babel that lets AI agents understand each other: a neutral layer where heterogeneous agents share one interface, collaborate (A2A), and are graded at each hop.
Source
GitHub
Langage
Python
Dernière activité
27 août 2026
Étoiles1Mesuré · 20 oct. 2026
Momentum07 jours · Mesuré · 0% d’évolution relative
Agentic commerce for the one-person company. Real, source-backed writing on AI agents and money: AI product discovery (llms.txt), agent payment protocols (AP2/A2A/MCP). No hype.
Source
GitHub
Langage
HTML
Dernière activité
5 sept. 2026
Étoiles1Mesuré · 20 oct. 2026
Momentum07 jours · Mesuré · 0% d’évolution relative
A 36-chapter curriculum on building, evaluating, securing and operating LLM agents in production: patterns, context engineering, memory, frameworks, MCP and A2A, evals, observability, security, and FDE delivery (2026).
Source
GitHub
Langage
Python
Dernière activité
4 oct. 2026
Étoiles1Mesuré · 20 oct. 2026
Momentum07 jours · Mesuré · 0% d’évolution relative