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About

Archestra is an open source, self-hosted AI platform for deploying and governing agents across an organization. It provides agentic chat for non-developers, apps and skills, shared projects, a server-side agent runtime, MCP orchestration, permission-aware RAG, LLM and MCP proxies, security guardrails, and observability in one platform. Users sign in with SSO, and every tool call runs under that person’s own identity rather than a shared service account. Projects keep chats, files, scheduled tasks, and instructions together, while agents run in sandboxed containers and can start from schedules, emails, or webhooks. MCP servers run in the organization’s own Kubernetes environment and move through security-reviewed promotion flows with separate credentials and network policies. Knowledge bases can connect Confluence, Jira, drives, and internal documents while preserving source-system ACLs, so users only retrieve content they are already allowed to access.

About

TinyFish is an enterprise AI platform that builds and operates “enterprise web agents” designed to execute complex workflows directly across the web at massive scale. Instead of relying on APIs or manual processes, these agents interact with websites the way humans do, navigating interfaces, extracting data, and completing multi-step tasks across thousands of platforms simultaneously. It is built to handle the growing complexity of the modern web, where valuable data is often fragmented, hidden behind logins, or constantly changing, making traditional automation unreliable. TinyFish agents are powered by infrastructure that can learn, adapt, and scale, enabling them to maintain accuracy and reliability even as web environments evolve. It is designed around outcome-driven workflows rather than isolated tasks, meaning agents can execute entire processes such as pricing intelligence, inventory tracking, or market monitoring from start to finish.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Enterprises, platform teams, developers, security teams, and business users seeking to deploy, govern, secure, and monitor AI agents, models, tools, knowledge, and MCP infrastructure across an organization

Audience

Strategy teams that need AI agents to automate complex web-based workflows and extract real-time business intelligence at scale

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

$1.50 per month
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Archestra
United States
archestra.ai/

Company Information

TinyFish
Founded: 2024
United States
www.tinyfish.ai/

Alternatives

Mistral AI Studio

Mistral AI Studio

Mistral AI

Alternatives

nebulaONE

nebulaONE

Cloudforce

Categories

Categories

Integrations

Model Context Protocol (MCP)
Anthropic
Azure OpenAI Service
Confluence
Cursor
Dify
Gemini Enterprise Agent Platform
HTML
JSON
Jira
Kubernetes
OpenAI
OpenClaw
Python
Vercel
n8n

Integrations

Model Context Protocol (MCP)
Anthropic
Azure OpenAI Service
Confluence
Cursor
Dify
Gemini Enterprise Agent Platform
HTML
JSON
Jira
Kubernetes
OpenAI
OpenClaw
Python
Vercel
n8n
Claim Archestra and update features and information
Claim Archestra and update features and information
Claim TinyFish and update features and information
Claim TinyFish and update features and information