Matrix OS vs Glean: enterprise search or agent workspace?
Compare Matrix OS and Glean across enterprise search, company knowledge, permissions, agents, actions, execution environments, and workflow ownership.
Glean is the stronger choice when the primary need is permission-aware enterprise search and assistance across company knowledge. Matrix OS is the stronger fit when an agent needs a persistent computer where it can create files, run tools, maintain processes, and produce inspectable work.
Glean also offers agents and actions, so the boundary is not simply “search versus action.” The difference is where each product begins and what it treats as the durable operating environment.
These comparisons stay neutral and use current public documentation. Enterprise buyers should validate security, integrations, and deployment directly.
At a glance
| Criterion | Glean | Matrix OS |
|---|---|---|
| Starting point | Enterprise knowledge connected across applications | Private cloud computer for agents and users |
| Core strength | Search, answers, and company context | Execution environment, files, terminals, sessions, apps |
| Agents | Glean Agents with governed data sources and actions | User-selected agents operating inside Matrix |
| Permissions | Enterprise connector and administration model | Workspace and platform integration boundaries; validate enterprise controls |
| Best fit | Finding and using distributed company knowledge | Hosting long-running agent work and artifacts |
Where Glean is stronger
Glean is designed to search organization content across connected applications and understand company-specific context. Its documentation describes search, chat, and purpose-built agents, with administrative controls for agent access, data sources, actions, and models. See Glean's agent documentation and search overview.
For large organizations with a knowledge-discovery problem, mature permission-aware retrieval can matter more than a new execution environment.
Where Matrix is different
Matrix gives the agent a persistent Linux computer. It can maintain actual project files, repositories, terminal sessions, previews, and apps. Rather than indexing every company system first, a Matrix workflow can operate from selected sources and write reviewable artifacts into its workspace.
This is useful for coding, document production, research workspaces, and operational workflows that require local tools or processes. It is not equivalent to Glean's enterprise-wide search coverage.
Knowledge access and action create different risks
A search product must preserve source permissions and cite evidence. An execution workspace must additionally control:
- which credentials the agent can use,
- which commands and tools it can run,
- which files it can change,
- which external actions require approval,
- how work can be stopped or recovered.
Glean and Matrix approach these boundaries from different starting points. Evaluate both retrieval and execution, not only answer quality.
Which should you choose?
Choose Glean if:
- employees struggle to find information across many enterprise systems,
- permission-aware search is the primary use case,
- broad organizational deployment and administration are required,
- the desired actions fit Glean's supported agent environment.
Choose Matrix OS if:
- an agent needs its own computer and local toolchain,
- workflows create files, code, previews, or long-running processes,
- a smaller bounded workspace is preferable to enterprise-wide indexing,
- you want to bring different agent tools into the same environment.
Some organizations could use Glean to find trusted context and Matrix to perform bounded work. That architecture requires explicit source and permission handoffs.
Run a decision-grade pilot
Choose one workflow that requires both finding information and producing an artifact. Measure retrieval precision, source traceability, completion, permission behavior, reviewer effort, and recovery. Avoid a demo based only on asking general company questions.
Read about Matrix's trust layer or plan an enterprise AI lab.
Try a first task in Matrix
Compare finding an answer with producing a file or running a tool from that answer.
- Follow the quickstart to sign in, choose a computer and complete any required provisioning. To use the native app, follow the desktop installation and approval steps.
- Open a separate session with a small sample project or synthetic input. Configure the agent access needed for that task and make the expected output explicit.
- Check source access and provenance; an execution workspace does not replace enterprise search governance.
For a worked coding example, use the setup and reconnect walkthrough. Inspect the result before expanding the scope or leaving a longer task unattended.
Open Matrix →Read the quickstart →Current plans and pricing →