Shared context for AI tools
Glean vs BaseThread: enterprise search vs curated context
Glean vs BaseThread compared. Glean indexes everything and answers in its own UI. BaseThread is the shared brain your AI writes the signal into and every AI tool reads back.
Glean and BaseThread get put side by side because both promise to make your company's knowledge useful to AI. They go about it in opposite ways. Glean connects to your tools, indexes everything, and gives you a place to search it. BaseThread never touches your tools at all: your AI reads your sources with the access it already has and writes the signal into a curated context layer that every AI tool reads back. Once you see the difference, picking is easy.
What Glean does well
Be fair. Glean is a strong product for the buyer it targets.
- Search across every app. It connects to your whole tool sprawl and answers questions across all of it from one place.
- Passive coverage. You do not curate anything. It crawls, indexes, and connects on its own.
- Built for large orgs. Governance, scale, permissions, and an enterprise motion to match.
If you are a thousand-person company and the problem is "our knowledge is scattered across a hundred apps and nobody can find anything," Glean was built for exactly that.
Where Glean is a different shape than you might want
The same design choices that make Glean powerful for a large org make it a particular fit, not a universal one.
- It is a destination. Glean answers in Glean. People go there to search. It is not primarily about feeding your Claude Code, Cursor, or ChatGPT the context they need as they work.
- It indexes everything. A searchable copy of all your data is a different thing from a deliberate, curated context. More is not always better.
- It is an enterprise deployment. Six-to-twelve-week rollouts and enterprise pricing are a real commitment, aimed at IT, not a small team that just wants its AI tools aligned.
What BaseThread does instead
BaseThread starts from a different question: not "where can people search our knowledge" but "how do the AI tools we already use share our team's context."
- Curated, not scraped. Your AI writes the signal into a context graph, structured the way your company works (Company, Products, Teams, Projects, You), with three streams running through it: Activity, Decisions, and Tasks.
- Read by your existing tools. Claude Code, Cursor, ChatGPT, and any MCP client read that context over MCP, local or remote, so it shows up where you already work.
- Scoped, not firehose. Context is scoped to the right team or project, not a flat index of everything.
- Your AI is the integration. Your AI already reaches tools like Notion and HubSpot with the access it has; it works with them through your AI and writes what matters into the graph, rather than BaseThread connecting to or copying anything.
The wedge is simple. Glean connects to your tools and builds a searchable copy of everything in a box you query. BaseThread connects nothing: your AI writes the signal into a curated graph and every tool you already use reads it back. A curated layer your tools read, not a destination you go to.
Glean vs BaseThread
| Glean | BaseThread | |
|---|---|---|
| Core model | Index everything (search) | Your AI writes the signal (curated graph) |
| Touches your tools | Connects to and indexes them | Never, your AI is the integration |
| Where you use it | Glean's own UI | Your existing AI tools, over MCP |
| Scope | Everything you query | The right team or project |
| Data shape | A searchable copy | A curated context layer |
| Captures decisions | No | Yes, an Activity, Decisions, and Tasks record |
| Setup | Enterprise deployment (weeks) | Connect nothing new, read over MCP |
| Built for | Large enterprises | Teams that want their AI tools aligned |
Which should you pick?
- Large org that wants one search box over all its apps: Glean is built for that, and the ranked field of Glean alternatives covers the other search options.
- A team that wants its AI tools to share the same context without a separate search destination: that is BaseThread.
They are not really competing for the same minute of your day. One is a search surface. The other is the context your tools read before they answer.
The one-liner
Glean is where you go to search your company's knowledge. BaseThread is the curated context your AI tools already read, so the answer shows up in the tool you are using, not in a separate box.
TL;DR
Glean is enterprise search: it connects to your tools, indexes everything across your apps, and answers in its own UI, built for large orgs, deployed over weeks. BaseThread never touches your tools: your AI reads your sources with the access it already has and writes the signal into a curated, scoped context graph, and the AI tools you already use read it back over MCP, with an Activity, Decisions, and Tasks record. Glean is a destination you go to. BaseThread is a curated layer your tools read. Pick search if you want a box; pick BaseThread if you want your tools aligned.
Skip the search box. Give your AI tools one curated context they read as they work.
Related reading
Glean alternatives in 2026, ranked
Looking for Glean alternatives in 2026? Here are the real enterprise-search options, ranked, plus the curated-context approach that feeds your AI tools instead.
Glean alternative for small technical teams
Looking for a Glean alternative for a small technical team? Glean is enterprise search built for large orgs. Here is the lighter, AI-tool-native option for smaller teams.
What is shared context for AI tools? (2026 guide)
Shared context for AI tools is the company, project, and decision background every AI reads automatically, so your whole team's tools stop guessing.
How to build a team second brain (step by step)
A team second brain is one curated context every teammate's AI reads. Here is how to build one in five steps, starting small and letting your AI keep it current.
Frequently asked questions
What is the difference between Glean and BaseThread?
Glean is enterprise search: it indexes everything across your apps and answers questions in its own UI. BaseThread is a curated context layer: your AI reads your tools with the access it already has and writes the signal into a scoped context graph, and the AI tools you already use, like Claude Code and Cursor, read it back over MCP. Glean is a place you go to search. BaseThread is context your existing tools read.
Is BaseThread a Glean alternative?
It solves a related problem from a different angle. If you want one searchable box over all your company's apps, Glean is built for that. If you want your AI tools to share your team's context without sending people to a separate search product, that is BaseThread. Some teams could even use both, Glean for company-wide search, BaseThread for the context that feeds their AI tools.
Does BaseThread index all my data like Glean does?
No, and that is the point. BaseThread never connects to or copies your tools, and does not build a searchable copy of everything you query in its own box. Your AI reads your sources with the access it already has and writes only the signal into a curated graph, scoped to the right team or project, curated not scraped, and every AI tool reads that back over MCP.
How long does each take to set up?
Glean is an enterprise deployment, commonly six to twelve weeks with IT involvement. BaseThread is built to be lighter: you connect nothing new, your AI writes the signal into the shared brain, and every AI tool reads the curated context back over MCP. Get started free to try it with your team.
