Over two decades, Git has become the default version control system, and it is set to endure beyond that span. The rise of AI agents as primary code producers changes what developers value in a repository: the context that explains *why* code was written. Session logs, including prompts, tool calls, checkpoints, and decisions, now form a semantic memory layer that sits alongside the code. This layer lets agents learn from past mistakes, boosts accuracy, cuts token usage, and gives humans a clear provenance trail that shortens review cycles.

Git’s original design was fully decentralized; every clone holds the entire history. Current hosting platforms, however, funnel traffic through central servers, which is fine for human developers but cripples fleets of agents that demand massive parallelism. Centralized routes invite rate limiting, outages, and slowed agent throughput. A distributed host network, where repositories replicateyond many nodes, restores resilience, permits local какую query access, and supports digital sovereignty by allowing data residency in‑region.

In this new paradigm, Git remains the source of truth and the coordination hub for an orchestra of agents. Platforms must evolve to surface the semantic layer, enable distributed hosting, and orchestrate agent work so that humans and bots can ship software continuously at machine speed. The change forces new tooling and governance models for distributed Git and agent orchestration.