Glean Agents Platform vs omi

“The direct competitors here are ServiceNow's Now Assist, Microsoft Copilot Studio, and Salesforce Agentforce — all of which have massive distribution advantages. Where Glean actually earns its place is the knowledge layer: if you've already got Glean indexing your company's internal content with real permissions, building agents on top of that foundation is meaningfully different from a blank-slate agent builder. The scenario where this breaks is large enterprises with fragmented IT budgets, where Glean has to compete against the existing Microsoft 365 or ServiceNow contract rather than supplement it. What kills this in 12 months isn't a competitor — it's Microsoft bundling Copilot Studio capabilities deeper into M365 E5 licenses and making the 'we already have Glean' argument harder to close.”

“Continuously capturing your screen and all audio is a massive privacy surface. Most workplaces explicitly prohibit recording meetings without consent, and storing that data locally doesn't make the capture part legal. Proceed with caution and check your employment contract.”

“The buyer here is the CIO or VP of IT, pulling from digital transformation or enterprise AI budget — not a departmental line item. Glean's smart move is that the Agents Platform is an expansion motion inside an existing Glean contract, not a net-new sale, which is the only land-and-expand story that actually works. The moat is real but narrow: it's the indexed, permissioned knowledge graph that takes months to build and tune per enterprise, creating genuine switching costs. The stress test is whether enterprises will consolidate on one platform player — if Microsoft or Salesforce offers 80% of this functionality bundled into existing spend, Glean's standalone value proposition compresses fast unless they keep the knowledge indexing quality visibly ahead.”

“The primitive here is a hosted agent runtime that uses Glean's search index as a retrieval layer and exposes workflow triggers — essentially a RAG-grounded agent builder with pre-built connectors. The DX bet is that enterprises want a no-code/low-code surface rather than composable APIs they can wire into their own stack, which is probably the right call for the buyer but makes this nearly useless if you want to integrate it into an existing internal toolchain. The moment of truth — can a developer get an agent running against real company data in under 30 minutes — is entirely gated behind the sales cycle and enterprise provisioning, which means there's no public hello-world to evaluate. The blog post has no repo, no public API docs, no sandbox, and no pricing: three red flags for any tool claiming to serve builders.”

“MCP integration is the killer feature here — being able to feed real-time meeting context directly into your Claude Code session without copy-pasting is something I've wanted for two years. The 824 stars in one day tells you this resonated with real developers immediately.”

“The job-to-be-done is precise: 'help enterprise employees get answers and trigger actions using company knowledge without requiring IT to build custom integrations from scratch.' That's a real, well-scoped problem. The completeness question is where Glean has an edge over blank-slate agent builders — because the knowledge indexing is already done for existing Glean customers, the activation cost for the first useful agent should be low compared to starting from Copilot Studio with an empty SharePoint. The gap I'd flag is that 'over 100 business apps' is a connector count, not a measure of integration depth — the real test is whether an agent can reliably take action in Salesforce or ServiceNow, not just read from them, and nothing in the GA announcement quantifies that reliability at scale.”

“This is what a true second brain looks like — not a note-taking app, but a persistent ambient layer that captures life as it happens. The open-hardware wearables angle is early but points to a world where your AI context travels with your body, not just your laptop.”

“For content creators who reference past work, client calls, and visual research constantly, having an AI that already has all that context without being explicitly fed it is genuinely transformative. Auto-generating meeting summaries and action items alone saves hours per week.”