7 Best Glean Alternatives for Teams in 2026
Glean connects company knowledge so employees can find answers and run agents. These seven alternatives range from cited search to agents that finish the work in the same place the team discusses it.

Glean describes itself as an enterprise AI platform that connects company knowledge and context so employees can find answers and move work forward through automation and agents. Connectors sync company content into a shared index, and people use it from the web app, a browser sidebar, Slack or Microsoft Teams.
Teams look at alternatives for different reasons. Some comparison articles describe wanting agents that act on what they find rather than another search destination. Others mention configurable models and less connector maintenance, more control over relevance and a lighter rollout, or open-source software they can host themselves.
We compared seven tools on three questions: is the output an answer or finished work, where do people use it, and how does a person review what an agent does. Product details were checked on each vendor's own site on 3 October 2026. Kylon is our product, so it is listed first.
Quick comparison
| Tool | Main output | Where people use it | Best for |
|---|---|---|---|
| Kylon | Finished work reviewed in the thread | Shared Rooms, web and phone | Teams that want agents to do the work, with people approving |
| Dust | Agents built on company knowledge | Dust web app and Slack | Teams building reusable knowledge agents |
| Notion AI | Cited answers and agents inside Notion | Notion | Teams that run docs and projects in Notion |
| Guru | Cited answers from verified knowledge | Web app, browser extension, Slack, Teams | Support and sales teams with expert-reviewed knowledge |
| Microsoft 365 Copilot | Search, chat and agents | Copilot app on desktop, web and mobile | Teams centred on Microsoft 365 |
| Onyx | Open-source search and chat | Chat interface with team agents | Teams that want open source |
| Atlassian Rovo | Search, chat and agents | Jira, Confluence and browser extension | Atlassian Cloud teams |
1. Kylon
Kylon is a workspace where agents are members of the team. Each agent has its own identity, memory, skills and permissions, and several can sit in the same Room with the people they work for.
- Output: The result is the work itself: a drafted email, an updated record, a built tracker, a workflow that ran. It lands in the thread where the request was made.
- Context: Agents read the Room and thread the work is discussed in, and reach your accounts through Connections, with more than 3,000 services available.
- Shared by default: Everyone in the Room sees what an agent did and can pick it up in the same thread. Several agents can carry different parts of the work and hand off to each other.
- Approval: Sensitive actions stop as a draft until the person who asked approves them.
- Records: Apps keep the data the work runs on next to the conversation, readable and writable by agents without an export.
- Repeat work: A run you want again becomes a workflow on a schedule or trigger.
- Bring your own agents: Claude Code, Codex and Devin can join a Room as members, next to the business agents.
Best for: teams whose question is not only "where is it" but "can someone get it done", across sales, operations, marketing and finance. See also Kylon vs Notion AI vs Glean.
2. Dust
Dust positions itself as multiplayer AI for human and agent collaboration, connecting company knowledge, tools and teams.
- Knowledge: Agents combine instructions with connected sources such as Slack, Notion, Google Drive, GitHub, Salesforce and Zendesk.
- Where people use it: Teams call named agents in the Dust web app or from Slack.
- Actions: Slack tools can post and schedule messages and read or write canvases.
- Review: Builders test agents in a preview before sharing them.
Best for: teams building reusable agents around company knowledge. See also Kylon vs Dust.
3. Notion AI
Notion describes Notion AI as a built-in teammate that works across pages, databases and connected apps.
- Search: Enterprise Search indexes tools such as Slack, Google Drive, GitHub, Jira and SharePoint and returns cited answers inside Notion.
- Meetings: AI Meeting Notes transcribes and summarises meetings and keeps them with related projects.
- Agents: Custom Agents run recurring workflows on schedules or triggers.
- Review: Teams test Custom Agents before activating triggers and review runs in an Activity tab.
Best for: teams that already organise documents and projects in Notion. See also our Notion AI alternatives guide.
4. Guru
Guru positions itself as an enterprise search and knowledge layer that keeps company information accurate and delivers cited answers.
- Answers: Knowledge Agents search sources such as Google Drive, Slack, Confluence and Salesforce and answer with citations.
- Where people use it: The web app, a browser extension, Slack, Microsoft Teams and MCP-enabled AI tools.
- Upkeep: Knowledge-quality rules can verify or unverify content automatically.
- Review: Employees can flag answers for subject-matter-expert review.
Best for: support and sales teams that maintain shared, expert-reviewed knowledge.
5. Microsoft 365 Copilot
Microsoft positions Copilot as AI built for work that connects company content with the apps employees already use.
- Search: Copilot Search is a module in the Copilot app on desktop, web and mobile.
- Connectors: Copilot connectors bring in Salesforce, ServiceNow, Confluence, Jira, GitHub and Google Drive for search alongside Microsoft 365.
- Agents: Specialised agents can send emails, update records and automate workflows.
- Review: Copilot normally asks for confirmation before plugin operations that modify data.
Best for: teams whose day runs on Microsoft 365. See also Kylon vs Microsoft Copilot.
6. Onyx
Onyx presents itself as an open-source enterprise search and AI assistant that gives humans and agents company context.
- Knowledge: Connectors ingest documents and sync updates, with uploads and an API as other routes.
- Where people use it: A chat interface with team agents and a sources sidebar for citations.
- Agents: Teams create shareable custom agents for onboarding, helpdesk and engineering work.
- Actions: OpenAPI and MCP actions can update tickets or CRM deals.
Best for: teams that want open-source search they can inspect and run.
7. Atlassian Rovo
Atlassian describes Rovo as AI that brings together context across people, projects and code.
- Search: Rovo Search covers Jira, Confluence, Google Drive and SharePoint with summarised, linked answers.
- Where people use it: Inside Atlassian apps and a browser extension.
- Agents: Agents create Jira work items and draft or publish Confluence pages, and can run in automation rules.
- Review: In Rovo Chat, people decide whether to take a recommended action.
Best for: teams that run on Jira and Confluence.
How to choose
Decide what a good result looks like. If it is the right answer with a source, a search and knowledge tool fits, and the best one is usually the one inside the suite your team already uses. If it is the work done, with a person signing off before anything goes out, look at where agents do that work and who can see it.
Kylon puts agents in the Rooms where the team already discusses the work. Plans are on the pricing page.
Your first company harness. Where humans and agents run your business together.


