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Memora vs Glean: Which Fits Your Team? [2026]

Memora vs Glean compared: company-wide enterprise search versus decision context for engineering and product teams, with pricing, connectors and when to choose each.

The short answer

Glean and Memora both connect workplace tools, respect source-system permissions and answer questions with AI. They're aimed at different problems.

Glean is enterprise-wide search and an AI assistant. Its documentation lists 275+ connectors, an MCP server, and deployment either as Glean-hosted SaaS or in the customer's own GCP or AWS account. It suits large organizations that want one search layer over many departments and systems. Pricing isn't published; Glean asks prospects to book a demo.

Memora focuses on the work of engineering and product teams. It connects Slack, GitHub, GitLab, Jira, Linear, Confluence, Notion, Google Drive, Gmail, Microsoft Teams, Zendesk, Figma and Zoho, plus meeting transcripts from Google Meet, Zoom and Teams. It links the conversations, pull requests, tickets and documents that belong to the same decision. It also offers AI pull-request reviews and an MCP server for Claude Code and Cursor. There's a free plan, and paid plans start at $39 a month.

Where the two differ

GleanMemora
Main audienceEvery department in a large organizationEngineering and product teams
Connectors275+ listed13 workplace tools plus meeting transcripts
Permission-aware answersYesYes
Answers cite sourcesYesYes
Links related work into one decision trailNot its main focusCore feature
AI pull-request reviewsNot a core featureIncluded in every plan
MCP serverYesYes
DeploymentSaaS, or customer-hosted in your GCP/AWS accountCloud (AWS, USA/EU); dedicated infrastructure on Enterprise
PricingNot publishedFree; Starter $39/mo; Pro $99/mo; Enterprise custom

Glean facts are from Glean's public documentation, accessed 10 October 2026: connectors, deployment, pricing.

A typical question, answered two ways

Take a question an engineer might ask: "Why does checkout retry failed payments three times?"

A broad enterprise search tool will usually find the relevant documents and summarize them. That works well when the answer is written down in one place.

Often it isn't. The reasoning might be split between a Slack incident thread, the pull request that added the retry, a Jira ticket about duplicate charges and a short note in an architecture document. Memora connects those pieces as related work, so the answer can explain the decision and link to each part of the trail. You can open any of them to check the details.

When Glean is the better choice

  • You need one search tool for the whole company: sales, HR, legal and finance as well as engineering.
  • You rely on systems outside Memora's integration list.
  • You need to run the product in your own cloud account, or you need a vendor with third-party compliance certifications. Memora doesn't hold SOC 2 or ISO 27001 certification today.

When Memora is the better choice

  • Your most expensive questions are about engineering and product decisions, not finding a file.
  • You want answers that combine code, tickets, discussions and meeting notes.
  • You'd like AI pull-request reviews that take past decisions into account.
  • You want to start on a free plan with published pricing, without a sales process.

Can you use both?

Yes. Some teams use a company-wide search tool for general knowledge and Memora for engineering context. Memora's MCP server can also bring that context into the AI coding tools your engineers already use.

Next steps

See how source-linked answers work in the interactive demo, compare plans and limits, or read how we handle data on the security page. For a wider comparison, see our guide to Glean alternatives.

Common questions.

How does Memora differ from Glean?
Glean is enterprise-wide AI search across hundreds of connectors. Memora focuses on engineering and product teams, linking Slack threads, pull requests, tickets, docs and meetings into decision trails, with every answer linked to its sources.
Does Memora require manual tagging like traditional search tools?
No. Memora links related pull requests, Slack discussions, Jira tickets, documents and meetings from the tools you connect, without manual tagging.
Can Memora connect to existing workplace tools?
Yes. Memora connects Slack, GitHub, GitLab, Jira, Linear, Confluence, Notion, Google Drive, Gmail, Microsoft Teams, Zendesk, Figma and Zoho, plus meeting transcripts from Google Meet, Zoom and Teams.

See how Memora works with your own tools.

Connect Slack, GitHub, Jira or your docs and ask a question about your own work.