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What is Zooid?

Zooid is a collaborative messaging platform built on the Matrix protocol and offered as open-source software, featuring capabilities such as channels, threads, direct messaging, and designated spaces for team interactions. The platform supports self-hosting, which guarantees that all messages and user information are stored within the infrastructure that the operator controls. A standout feature of Zooid is its ability to incorporate AI agents directly within the same chat environments as human users, thereby fostering enhanced collaboration. Agents that adhere to the Agent Client Protocol (ACP), such as Claude Code, Codex, and opencode, can participate in discussions, with their contributions presented as structured interface elements rather than plain text; for example, permission requests manifest as approval cards, tool interactions are illustrated as structured data, task outlines are formatted as checklists, and sub-agent hierarchies are displayed as expandable trees. Furthermore, each AI agent functions within its own isolated sandbox to ensure security. Distributed under the MIT license, Zooid allows for comprehensive end-to-end self-hosting options, empowering users with the autonomy and control they desire over their communication environments. The combination of these innovative features positions Zooid as a highly attractive solution for teams eager to effectively harness the collaborative potential of both human participants and AI agents in their workflows. This makes it a versatile tool that can adapt to various organizational needs and enhance productivity through seamless integration of technology.

What is Archestra?

Archestra is an open-source, self-hosted AI platform that facilitates the management and deployment of agents across an organization. It boasts agentic chat capabilities designed for users without a technical background, in addition to various applications, skills, collaborative initiatives, a server-side agent runtime, MCP orchestration, permission-aware RAG, LLM and MCP proxies, security safeguards, and extensive observability, all seamlessly integrated into one platform. Through single sign-on (SSO) authentication, users can engage with tools while maintaining their unique identities rather than relying on shared service accounts. The platform organizes projects to bring together chats, files, scheduled tasks, and instructions, while agents function within isolated containers, activated by triggers such as schedules, emails, or webhooks. MCP servers are deployed within the organization's Kubernetes environment, adhering to security-validated promotion protocols that implement separate credentials and network rules. Additionally, the knowledge bases can connect with Confluence, Jira, drives, and internal documents, preserving source-system ACLs to ensure users only access information they are authorized to view. Overall, this extensive array of features establishes Archestra as an essential asset for organizations aiming to enhance their AI deployment efficiency and governance. By offering a user-friendly experience coupled with robust security measures, Archestra empowers teams to innovate while maintaining stringent access controls.

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Integrations Supported

Anthropic
Azure OpenAI Service
Confluence
Gemini Enterprise Agent Platform
Jira
Kubernetes
Model Context Protocol (MCP)
OpenAI

Integrations Supported

Anthropic
Azure OpenAI Service
Confluence
Gemini Enterprise Agent Platform
Jira
Kubernetes
Model Context Protocol (MCP)
OpenAI

API Availability

Has API

API Availability

Has API

Pricing Information

Free (open source)
Free Version
Free Trial Offered?

Pricing Information

Free
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Zooid

Date Founded

2026

Company Website

zooid.dev

Company Facts

Organization Name

Archestra

Company Location

United States

Company Website

archestra.ai/

Categories and Features

Team Chat

End-to-End Encryption (E2EE)
File Sharing
Groups / Channels
Payments
Search / Filter
Self-Destructing Messages
Stickers / GIFs
Threaded Discussion
Video Conferencing
Voice Calling

Categories and 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)

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