Does ChatBotKit Support Multiple AI Models In The Same Deployment?

Yes. ChatBotKit provides unified access to models from OpenAI, Anthropic, Google Gemini, Mistral, and DeepSeek through a single API. You can switch or combine models per bot without changing your integration architecture.

What Is The Blueprint Designer In ChatBotKit?

The Blueprint Designer is a visual orchestration environment that lets you connect datasets, skillsets, and integrations into automated multi-agent workflows. It supports drag-and-drop composition and includes pre-built example blueprints for rapid prototyping.

Can ChatBotKit Agents Retain Memory Across Conversations?

Yes. ChatBotKit includes a dedicated Memory system that allows agents to store, retrieve, and act on persistent contextual information about specific contacts, enabling more personalized and coherent long-term interactions.

How Does ChatBotKit Handle GDPR Compliance?

ChatBotKit includes built-in end-user privacy features — including data anonymization and conversation privacy toggles — that can be enabled per bot or via API. These controls are specifically designed to meet GDPR and CCPA requirements.

What Is The Difference Between Skillsets And Datasets In ChatBotKit?

Datasets are structured knowledge stores that an agent queries to answer domain-specific questions. Skillsets are collections of executable abilities — such as calling APIs, running SQL queries, or invoking MCP actions — that agents can perform as part of a task.

Listed · Reviewed Jul 2026 · 7-criteria rubric

AI Agents

ChatBotKit

Name: ChatBotKit
Availability: InStock
Author: ChatBotKit

Build, Deploy, And Run Autonomous AI Agents Across Every Channel

by ChatBotKit · London, United Kingdom · Founded 2016

Visit ChatBotKit →

Pricing

Free plan available; Basic from $25/mo, Pro from $65/mo

What is ChatBotKit?

ChatBotKit is an agentic AI platform that lets developers and businesses build, deploy, and manage conversational AI agents across multiple channels — including websites, Slack, Discord, WhatsApp, Telegram, and more.

It supports multi-model access spanning OpenAI, Anthropic, Google Gemini, Mistral, and DeepSeek, all under one unified API.

With composable datasets, skillsets, and blueprint-based orchestration, ChatBotKit enables production-grade AI deployment with built-in content moderation, GDPR compliance, and full observability — without needing to stitch together multiple infrastructure providers.

ChatBotKit — Build, Deploy, And Run Autonomous AI Agents Across Every Channel Whether you're evaluating ChatBotKit for your team or comparing it to alternatives in the AI Agents category, this in-depth review covers everything: features, pricing, real user reviews, pros and cons, integrations, and direct comparisons against competitors.

Key Features 8

Visual Agentic AI Blueprint Designer for No-Code Multi-Step Workflows

Multi-Agent Orchestration with Bot-to-Bot Task Delegation and Coordination

150+ Pre-Built Abilities and Integrations Across Slack, Discord, WhatsApp, and More

Custom Knowledge Datasets with Semantic Search and Website Crawling

Real-Time Voice and AI Avatar Support for Live Conversational Agents

Secure Sandboxed Code Execution with PII Redaction and GDPR Compliance

Omnichannel Deployment Across Web, Mobile, Email, Teams, and Social Platforms

Bring Your Own Key, Custom Models, and Full White-Label Portal Branding

Who Is ChatBotKit For

1 SaaS Developers

2 Product Teams

3 AI Consultancies

4 Customer Support Teams

5 Enterprise IT Departments

6 Developers Building Production AI Agents Across Multiple Messaging Channels

7 Businesses Needing GDPR-Compliant Conversational AI With Full Data Governance

Pros & Cons

Pros 4 benefits

Extensive Multi-Model Selection
Production-Ready Observability Tools
Highly Composable Agent Architecture
Actively Maintained Changelog Cadence

Cons 3 limitations

Token Limits Tight On Free Tier
No Verified G2/Capterra Profile
Small Core Team Size

Frequently Asked Questions

5 questions

Who is ChatBotKit for?

ChatBotKit is most useful for SaaS Developers, Product Teams, AI Consultancies and Customer Support Teams.

ChatBotKit pricing

ChatBotKit uses a freemium model: a usable free tier with optional paid upgrades. Headline pricing: Free plan available; Basic from $25/mo, Pro from $65/mo. For the current tier breakdown and any limits, see the pricing section above or check the vendor's pricing page directly — limits and prices change.

What's New

weekly

Advanced Developer Tools Across Dashboard And Blueprint Designer

Introduced debugging, chat, logs, and analytics into both the main Dashboard and Blueprint Designer, enabling developers to build, test, and troubleshoot agents from a single interface.

Apr 23

Official Terraform Provider For Infrastructure-As-Code Management

Launched the official ChatBotKit Terraform Provider, allowing teams to manage their entire conversational AI infrastructure as code for enterprise-grade deployment workflows.

Jan 16

View all updates

User Base

10K+ users

Active Users

Security & Privacy

US, EU

GDPR Compliant CCPA Compliant

Built-In Content Filtering And Data Protection End-User Conversation Privacy Toggles (Per-Bot Or Via API) Data Governance With Bring-Your-Own-Model (BYOM) Support Audit Trails With 90-Day Retention And Change Tracking (Pro Plan) Event Logs And Monitoring With Export Capabilities (Pro Plan) Policy Management For Rate Limits And Access Controls +1 more

Collaboration & Teams

Team Workspaces Multi-User Access Role Permissions Shared Projects Real-time Version History Activity Log

Learning & Support

Resources

Documentation Video Tutorials Blog Templates

Support Channels

Email Priority Dedicated Manager Onboarding

Localization

UI Languages

50+

Content Languages

Auto-Translation

All Features of ChatBotKit