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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Agent Compute Engine is a fully managed compute service offered by Google Cloud that creates execution environments specifically for AI agents. Each agent operates within its own hardware-isolated microVM, complete with a dedicated guest kernel and root-level management capabilities. Users can benefit from features such as rapid startup, pausing, checkpointing, creating snapshots, and resuming workflows. Persistent workspaces are available to maintain agent files and context throughout different sessions, and the platform utilizes copy-on-write memory sharing to enable parallel environments derived from shared images. Agents have the capability to execute code, run shell commands, and perform browser actions within secure sandboxes, with carefully regulated access to enterprise data through Google Cloud's networking and identity frameworks. Developers have the flexibility to customize environment images, manage identity protocols, control network access, and oversee the lifecycle of their agents, all while Google takes care of the underlying compute infrastructure. The platform is particularly well-suited for interactive assistants, coding agents, browser-based tasks, and extensive evaluation and reinforcement learning tasks, showcasing its versatility and efficiency in handling a wide range of AI applications. This comprehensive management allows developers to focus on building and optimizing their AI solutions without the burden of infrastructure concerns.

Description

Archestra serves as an open-source, self-hosted AI platform designed for the deployment and management of agents within an organization. It features agentic chat functionalities tailored for non-developers, along with applications, skills, collaborative projects, a server-side agent runtime, MCP orchestration, permission-aware RAG, LLM and MCP proxies, security guardrails, and comprehensive observability, all integrated into a single platform. Users can authenticate through SSO, ensuring that every tool interaction occurs under the individual’s personal identity rather than through a common service account. Projects are organized to consolidate chats, files, scheduled tasks, and instructions, while agents operate within isolated containers, triggered by schedules, emails, or webhooks. MCP servers are hosted within the organization's Kubernetes environment, navigating through security-reviewed promotion processes that enforce distinct credentials and network policies. Furthermore, knowledge bases can interface with Confluence, Jira, drives, and internal documents while maintaining source-system ACLs, ensuring that users can access only the content for which they possess permissions. This comprehensive suite of features makes Archestra an invaluable resource for organizations looking to streamline their AI deployments and governance.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Anthropic No 
Azure OpenAI Service No 
Confluence No 
Gemini Enterprise Agent Platform No 
Google Cloud Platform Yes 
Jira No 
Kubernetes No 
Model Context Protocol (MCP) No 
OpenAI No 

Integrations

Anthropic Yes 
Azure OpenAI Service Yes 
Confluence Yes 
Gemini Enterprise Agent Platform Yes 
Google Cloud Platform No 
Jira Yes 
Kubernetes Yes 
Model Context Protocol (MCP) Yes 
OpenAI Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

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

Vendor Details

Company Name

Archestra

Country

United States

Website

archestra.ai/

Product Features

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Alternatives

No Alternatives

Alternatives

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