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What is Subspace?

Subspace is a groundbreaking environment designed for AI-native agents, aimed at assisting developers and teams in managing, coordinating, and collaborating with various coding agents in a unified setting that preserves context across multiple sessions. Instead of treating each engagement with AI as an isolated occurrence, this platform fosters a continuous memory system that encapsulates every interaction into organized insights, detailing choices, challenges, and progress, which are regularly updated to mirror the project's dynamic nature. This collective memory is linked to the entire workspace rather than tied to individual tools, allowing various agents, including Claude Code, Codex, and others, to effortlessly pick up where previous sessions left off without requiring redundant explanations or manual context adjustments. Users of Subspace can seamlessly incorporate terminals, files, documentation, browser views, and git workflows into structured workspaces, enabling the simultaneous use of multiple agents while facilitating quick shifts between different projects. This all-encompassing strategy not only boosts productivity and collaboration but also transforms the development landscape into a more streamlined and efficient process, ultimately leading to better outcomes for teams. By leveraging this innovative platform, developers can enhance their workflow and significantly reduce the time spent on repetitive tasks.

What is Agent Compute Engine?

Agent Compute Engine is a comprehensive compute service provided by Google Cloud that specializes in creating execution environments tailored for AI agents. Each AI agent functions within its unique hardware-isolated microVM, featuring a dedicated guest kernel and root-level management capabilities. Users can take advantage of functionalities such as quick startup, pausing, checkpointing, creating snapshots, and resuming workflows efficiently. To preserve agent files and context across various sessions, persistent workspaces are provided, while the platform employs copy-on-write memory sharing to support parallel environments derived from shared images. Agents are capable of executing code, running shell commands, and performing browser actions in secure sandboxes, with access to enterprise data tightly controlled through Google Cloud's networking and identity frameworks. Developers are empowered to personalize environment images, manage identity protocols, regulate network access, and supervise the lifecycle of their agents, all while Google manages the underlying compute infrastructure seamlessly. This platform is especially effective for applications such as interactive assistants, coding agents, browser tasks, and in-depth evaluation and reinforcement learning projects, demonstrating its adaptability and efficiency across a broad spectrum of AI applications. Moreover, by alleviating infrastructure concerns, this extensive management enables developers to concentrate on enhancing and refining their AI solutions more effectively. Consequently, the Agent Compute Engine stands out as a powerful tool for advancing the capabilities of AI-driven projects.

Media

Media

Integrations Supported

Amp
Ansible
ChatGPT
Claude Code
Codex CLI
Cursor
Devin
Gemini
GitHub Copilot
Grok
Kiro
OpenClaw
OpenCode
Perplexity

Integrations Supported

Google Cloud Platform

API Availability

API Availability

Pricing Information

$12 per month
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

Mac

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

Subspace

Company Location

United States

Company Website

www.subspace.build/

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/blog/topics/ai-infrastructure/agent-compute-engine-deep-dive

Categories and Features

Agentic AI

Not specified

Categories and Features

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