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docs: sharpen Substrate overview and fix "computer infrastructure" typo (#1619)

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## What

Updates the project overview language in the three docs that share it,
and fixes a long-standing typo.

- **`README.md`** — replaces the overview paragraph with the
secure-by-default positioning: density relative to standard container
runtimes, resume latency and activation throughput, and native
kernel/network isolation.
- **`docs/architecture.md`** — adopts the same lead sentence, keeping
the existing control-plane detail; `computer infrastructure` → `compute
infrastructure`.
- **`docs/roadmap.md`** — `computer infrastructure` → `compute
infrastructure`.

## Notes

The performance figures in the README paragraph (density multiple,
sub-500ms resume, activation rate) have been discussed and aligned
separately.

Docs-only change; no code or behavior is affected.
This commit is contained in:
Alex Zakonov
2026-09-11 14:08:16 -07:00
committed by GitHub
parent 5fb2c0a3cd
commit 0c5a1cddb3
3 changed files with 3 additions and 3 deletions
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docs/architecture.md
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@@ -4,7 +4,7 @@ NOTE: Much of this architecture is aspirational, and is not yet implemented!
## Overview
Agent Substrate delivers a performant, high density runtime environment for large scale agent deployments. The agent substrate control plane provides full lifecycle management for agent sandboxes, delivering sub-second agent resume/suspend operations, and allows heavy multiplexing of agents onto the same computer infrastructure. It supports multiple sandbox technologies including microVMs and gVisor, enabling consistent lifecycle operations for all sandbox types.
Agent Substrate is a secure-by-default agent execution runtime engineered to run millions of sandboxes with 10x higher density than standard container runtimes. The agent substrate control plane provides full lifecycle management for agent sandboxes, delivering sub-second agent resume/suspend operations, and allows heavy multiplexing of agents onto the same compute infrastructure. It supports multiple sandbox technologies including microVMs and gVisor, enabling consistent lifecycle operations for all sandbox types.
At its core, Agent Substrate maps a larger set of “actors” (applications such
as agents) onto a smaller set of ready “workers”, relying on
docs/roadmap.md
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@@ -2,7 +2,7 @@
## Overview
Agent Substrate delivers a performant, high density runtime environment for large scale agent deployments. The agent substrate control plane provides full lifecycle management for agent sandboxes, delivering sub-second agent resume/suspend operations, and allows heavy multiplexing of agents onto the same computer infrastructure. It supports multiple sandbox technologies including microVMs and gVisor. Substrate builds on sandboxed, snapshottable Pods by adding the ability to update running containers in the Pod leveraging the high scale and low latency Agent Substrate control plane. Substrate enables these containers to rapidly cycle between active and inactive lifecycle phases with fast suspend and resume from snapshots in inexpensive cloud object storage, without losing in-memory or filesystem state. This is especially critical for agentic workloads, which frequently oscillate between active (handling user input) and idle (waiting for LLMs or tool calls to complete). With Substrate, resources can be reclaimed during these idle moments for use by other workloads. This enables both greater efficiency and greater scale than using Pods alone, while still leveraging Kubernetes to provision capacity, configure networking and storage, and manage Substrate itself.
Agent Substrate delivers a performant, high density runtime environment for large scale agent deployments. The agent substrate control plane provides full lifecycle management for agent sandboxes, delivering sub-second agent resume/suspend operations, and allows heavy multiplexing of agents onto the same compute infrastructure. It supports multiple sandbox technologies including microVMs and gVisor. Substrate builds on sandboxed, snapshottable Pods by adding the ability to update running containers in the Pod leveraging the high scale and low latency Agent Substrate control plane. Substrate enables these containers to rapidly cycle between active and inactive lifecycle phases with fast suspend and resume from snapshots in inexpensive cloud object storage, without losing in-memory or filesystem state. This is especially critical for agentic workloads, which frequently oscillate between active (handling user input) and idle (waiting for LLMs or tool calls to complete). With Substrate, resources can be reclaimed during these idle moments for use by other workloads. This enables both greater efficiency and greater scale than using Pods alone, while still leveraging Kubernetes to provision capacity, configure networking and storage, and manage Substrate itself.
This project is trying to move very quickly to find the right set of capabilities for the ever-changing agentic workloads market. Below are our priorities. Any efforts which are not aligned with these priorities should probably be deferred.