---
title: "Tale: The Orchestrator for AI Agents"
description: "Tale connects the agents your team uses, pools their knowledge, delegates work, and governs every action — self-hosted, ISO 27001 & SOC 2 Type II certified."
---
# Orchestrate every AI agent on your stack

Connect Claude Code, Codex, Hermes, OpenClaw, and the rest of your team's agents. Pool their knowledge, delegate real work — on infrastructure you run.

ISO 27001 · SOC 2 Type II · GDPR · MIT Licensed · Open Source

> Animated product demo: a task is typed into Tale, Auto routes it to the Support Agent, and a reply streams in grounded in two cited sources.

## How Tale orchestrates your AI agents

Connect what you use, pool what you know, delegate the work, govern the result — then compare models and scope by project.

01 Agents & integrations

### Bring the agents you already trust

Claude Code, Codex, Hermes, OpenClaw — plus Slack, GitHub, Outlook, and the rest of your stack. Nothing gets replaced; everything gets coordinated.

> Animated demo: the Agents list shows Claude Code, Codex, Hermes, Support Agent, and OpenClaw as installed rows with model chips.

02 Knowledge

### One knowledge base, every answer grounded

Documents, websites, product and customer data flow into a shared knowledge base. Agents answer from what your company actually knows — with citations you can check.

> Animated demo: the Knowledge documents table indexes a PDF, a website, a product catalog, and a runbook, then shows indexed status badges.

03 Automations

### Delegate the work, not the control

Automations chain LLM steps, conditions, and actions into workflows that run on triggers — inbox triage, escalations, weekly reports. Every run leaves a log.

> Animated demo: a workflow canvas runs Trigger → LLM → Condition → Action, then the Executions table records the run.

04 Approvals & audit

### Approve before it ships. Audit after.

Human-in-the-loop approvals gate the actions that matter. Audit logs, budgets, guardrails, and SSO keep every agent inside your rules.

> Animated demo: an in-chat approval card asks to send 42 refund emails; Approve is confirmed and the run continues.

05 Chat Arena

### Compare models on the same prompt

Arena runs one question through two models side by side. Pick the reply that fits — without leaving the thread or retyping the ask.

> Animated demo: Chat Arena splits one prompt across two models so you can compare Claude Sonnet and GPT-5.5 side by side.

06 Projects

### Scope agents and knowledge by team

Projects keep agents, documents, and members in the right workspace. Support stays on support; engineering keeps its own stack.

> Animated demo: the Projects list shows scoped workspaces with agent counts and members.

## Your Infrastructure. Your Data. Your Rules.

Run AI on your terms — from where it's hosted to how every action is governed.

### Self-hosted by default

Runs entirely on your infrastructure — no cloud required. Pair it with local models and no data leaves your network; either way, nothing locks you to a vendor.

### Security built in

Single sign-on, sensitive data detection, content safety guardrails, full activity logging, and budget controls — all built in, not bolted on.

### Fully open source

The entire codebase is public under the MIT license. Read it, audit it, change what you need — without asking anyone.

## Works with the agents you run

Dock Claude Code, Codex, Hermes, OpenClaw, Pi, and OpenCode under one orchestrator you host.

- Claude
- Codex
- Gemini
- Cursor
- Hermes
- OpenClaw
- Pi
- OpenCode

## Plugged into the tools you already run

Connect Gmail, Slack, GitHub, Shopify, and your model providers once per organization — every agent and automation shares the same governed credentials.

SECURITY

## Compliance you can verify

### Independent & Transparent

Swiss-based and vendor-neutral — no ties to a cloud or model provider, so your deployment answers only to you.

### Certified & Compliant

Certified to ISO 27001 and SOC 2 Type II, and GDPR-compliant — audit logs and data controls mean you always know where your data is stored.

## Frequently Asked Questions

Still have questions?[Contact the team](https://tale.dev/contact)

### What is Tale?

### Is Tale open source?

### Can Tale run fully on-premises or air-gapped?

### How does Enterprise pricing work?

### Are there additional features in the Enterprise plan?

### Do I have to bring my own AI models?

### Can I use my preferred AI provider?

### Do you also provide hardware?

### Can I use my own hardware and AI models?

### Do you offer custom AI model training?

## Deploy Tale on your infrastructure.

Orchestrate your AI agents on a sovereign stack you run yourself — get in touch, or spin one up in four commands.

Self-host in four commands