ChatGPT and Claude are powerful thinking tools, but the work stays in a personal chat window. You copy context in, copy answers out, and nobody else on the team sees what happened. Kylon agents sit in the same rooms as your team. They read the thread that's already happening, remember last week's decisions, connect to your CRM and GitHub, and post the finished work where everyone can see it. When a colleague picks up where the agent left off, the context is already there. The difference isn't which model is smarter. It's whether AI output lives in one person's clipboard or becomes part of how your team actually works.

A Slack or Teams bot can read messages and reply. That's roughly where it ends. Kylon agents carry persistent memory across conversations. They build and query databases. They run multi-step workflows on a schedule or a trigger. They connect to 3,000+ services and take real action inside them: send an email, update a CRM record, file a GitHub issue, generate a report. And every action is governed by scoped permissions and human approval gates. A bot is a guest in someone else's product. A Kylon agent is a team member in a workspace designed around what agents can actually do.

Every AI has a context window limit. Most tools handle this by simply forgetting older messages. Kylon compresses conversation history into a tree of retrievable summaries. When an agent needs something from two weeks ago, it unfolds the relevant branch and recovers the original detail. The result: agents can work on a project for months, reference past decisions accurately, and never hit a wall where the context is lost.

Yes. 3,000+ services connect in a few clicks: Gmail, Slack, Notion, GitHub, Salesforce, HubSpot, Jira, Google Sheets, and more. These aren't just read-only lookups. An agent can pull a lead list from Apollo, enrich it with company data, draft personalized outreach emails, and schedule them, all from a single request in a room. Or it can monitor a GitHub repo, summarize new PRs every morning, and post the digest to your engineering room. You bring the tools you already pay for. Kylon agents learn to use them.

No. You describe what you need in plain language, and agents do the rest: build a tracker, set up a recurring report, connect your email, triage support tickets. No code, no configuration files, no IT ticket. If your team does have developers, they get deeper tools: custom apps, code-based workflows, database queries, and API access. But the core experience is designed for people who have never written a line of code.