Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
Scalebrowser provides a self-hosted infrastructure designed specifically for AI agents that require the capability to accomplish genuine tasks. Each unique profile maintains consistency in identity, cookies, passkeys, memory, and tasks, regardless of whether the system is restarted or if the user switches devices. It utilizes a modified Chromium engine alongside authentic local GPU values, enabling human-like interactions and effective handling of captchas, email and SMS verification codes, and TOTP, all while allowing browser-level prompt control to ensure agents can navigate beyond the limitations faced by standard automation tools. Users can connect through various methods including MCP, REST, Node.js, Python, or even direct CDP for versatile integration. This level of functionality empowers AI agents to perform in environments that typically resist automation attempts.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Anthropic
Azure OpenAI Service
Confluence
Gemini Enterprise Agent Platform
Jira
Kubernetes
Model Context Protocol (MCP)
OpenAI
Integrations
Anthropic
Azure OpenAI Service
Confluence
Gemini Enterprise Agent Platform
Jira
Kubernetes
Model Context Protocol (MCP)
OpenAI
Pricing Details
Free
Free Trial
Free Version
Pricing Details
€19/month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Archestra
Country
United States
Website
archestra.ai/
Vendor Details
Company Name
Scalebrowser
Website
scalebrowser.net
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)