Comparison

CentralAgent vs Glean


Glean is enterprise search with an assistant and agents on top: it connects to the tools your company already uses and answers questions from what is already written down. CentralAgent targets the knowledge that was never written down: it captures meetings and agent sessions, structures them into agentic memory, and hands the record to your agents as memory. If your knowledge lives in well-maintained documents across many apps, Glean fits. If it lives in your veterans’ heads and your agents keep starting from zero, CentralAgent was built for you.

Side by side

DimensionGleanCentralAgent
Primary jobGlean search and assistant over content that already exists in your appsCapture knowledge that was never written down and encode it as agentic memory
Knowledge sourceDocuments, tickets, chat, and other content reached through connectorsMeetings and agent sessions captured live, plus the tools your team already uses
Undocumented knowledgeOut of reach until someone writes it downThe core target: roughly 80% of a company’s domain knowledge sits in two places, meetings and agent sessions (120+ interviews with tech leads)
Team size and priceSales-led; buyer reports put minimum commitments around 100 to 250 seats, with a median contract near $99k/year (Vendr)Any team size; it starts from one setup call
Your coding agentsIts MCP server and plug-in load Glean search and agents into Cursor, Claude Code and othersMemory, not search results: the agent starts with the distilled record already in context, in Claude Code, Cursor and any MCP host
DeploymentGlean Hosted (SaaS) or Customer Hosted, single tenant in your own GCP or AWS account, operated by GleanInside your private cloud, torn down when you leave; records are plain text you can edit; we never train on your data
EvidenceDemo via their sales teamReproducible benchmark: medians of 4 tool calls, 31 s, $0.12 with memory vs 22 calls, 122 s, $0.64 without. Run it yourself.
Getting startedEnterprise sales motionOne setup call, then our engineer deploys in your own cloud on Day 1

Which one, when

CHOOSE GLEAN
Your knowledge is mostly written down across dozens of tools and the pain is finding it. Permissions-aware answers across everything are a real relief there. Glean publishes no pricing; buyer data puts seat minimums around 100 to 250, so under that line the comparison may be moot.
CHOOSE CENTRALAGENT
The answers live in people’s heads and in the agent sessions where those people work, and your agents keep starting from zero. First veteran-grade answers in week two, judged against criteria agreed in writing.
RUN BOTH
Glean makes what is written findable. CentralAgent captures what was never written. An agent-heavy team should capture first: what you don’t capture, you can’t backfill.

Capture: What CentralAgent captures

The two streams no connector can index.

Story card: a live meeting transcript beside a coding session, both filing what they learned into the brain.
After you book

Day 1 to Day 30

Success criteria are agreed in writing before anything is installed.

  1. Day 1One setup call, then our engineer deploys the brain inside your VPC.
  2. Week 1Your meetings and agent sessions start flowing in.
  3. Week 2First answers that used to need a veteran: why a decision was made, which fix actually worked, who owns what. Each one cites the meeting or session it came from.
  4. Day 30Questions that used to wait on a Slack thread come back in seconds, with sources. Your coding agents pull the same answers over MCP.

Your data
  • Deployed in your private cloud.
  • Your data never leaves it.
  • We never train on it.
  • If you leave, the brain is torn down.