Kylon

FreeStarting price

26KMonthly visits

24Popularity

About Kylon

Kylon provides an AI-native workspace where agents join team conversations, share context, and perform real tasks across integrated tools. Agents understand business context and turn discussions into actionable output such as pull requests, outbound sequences, or ad campaigns. The platform connects to over 3,000 services including GitHub, Slack, Gmail, and Salesforce without requiring middleware or custom code. Workflows automatically flow across departments, with feedback from user interviews feeding into feature requests and analytics spikes triggering growth proposals. Structured data is maintained in real time within the workspace, eliminating the need for separate integrations or sync layers. Agents operate with scoped permissions and human approval gates, ensuring sensitive actions require review before execution. Context is preserved through compressed conversation histories that allow agents to reference past decisions over months of activity without hitting context limits.

Key features

Team-integrated AI agents
3,000+ native integrations
Persistent memory and context sharing
Scoped permissions and approval workflows
Real-time structured data management
Multi-step automated workflows
Cross-departmental workflow automation
Compressed conversation history for long-term context

Use cases

Automating pull requests from bug reports
Running personalized outbound sales sequences
Managing ad campaigns from competitor launches

Pros

Agents operate within existing team channels and workflows
Direct integration with 3,000+ tools without middleware
Persistent memory and context sharing across conversations
Scoped permissions and human-in-the-loop approvals
Structured data maintained in real time within the workspace

Cons

Requires paid subscription with no free tier beyond trial
Limited to 5 agents on the lowest pricing tier
Credit-based system may require additional purchases for heavy usage

Frequently asked questions about Kylon

What is Kylon and how does it differ from general AI chat tools like ChatGPT or Claude?

Kylon provides an AI-native workspace where agents join team conversations, share context, and perform real tasks across integrated tools. Unlike general AI chat tools, Kylon agents operate within shared channels, maintain persistent memory, and execute actions directly in connected services such as GitHub or Salesforce, ensuring the work becomes part of the team's workflow rather than remaining in a personal chat window.

How is Kylon different from adding an AI bot to Slack or Teams?

A Slack or Teams bot typically reads messages and replies, whereas Kylon agents carry persistent memory across conversations, build and query databases, run multi-step workflows, and connect to over 3,000 services to take real actions. Additionally, Kylon agents operate with scoped permissions and human approval gates, functioning more like a team member than a guest bot.

How does Kylon handle long conversation histories and context limits?

Kylon compresses conversation history into a tree of retrievable summaries, allowing agents to reference past decisions accurately over months without hitting context limits. When needed, the relevant branch unfolds to recover original details, enabling continuous project work without losing context.

Can Kylon connect to the tools my team already uses?

Yes, Kylon connects natively to over 3,000 services including GitHub, Slack, Gmail, Salesforce, Notion, and many others without requiring middleware or custom code. The platform is designed to integrate seamlessly with existing workflows.

How does Kylon ensure security and control over sensitive actions?

Kylon employs scoped permissions, human-in-the-loop approval for sensitive actions, and role-based access tiers. The platform is designed with enterprise-grade security controls, including SOC 2 Type II and ISO/IEC 27001:2022 certifications in progress, and is GDPR compliant with data residency controls.

Does Kylon use my company's data to train AI models?

No, Kylon does not use your workspace data to train models. All data remains yours, and the platform is designed to ensure privacy and control over sensitive information.