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Glen

Institutional Learning Layer for Every Agent in Your Company

徵才中

公司介紹

公司介紹(英文原文)

Glen is the layer that unifies every agent your company runs. Glen pulls in agent sessions from Claude Code, Codex and Cursor, plus Slack messages, GitHub prs, tickets, docs and calls. When a new agent picks up a task, Glen finds relevant prior context and injects it in the agents context window to steer it, producing knowledge work that is significantly higher quality, faster and cheaper.

Glen does more. You can query the original agent behind any line of code, or search every session your org has ever run. It distills what your team does into skills and surfaces the right one automatically. Agents work multiplayer, picking up the style and context of whoever else is on the file. Transcripts are unified across Claude Code, Codex and Cursor, so you can hand a session from one to another mid-task. And Glen can also double as a company brain, from Slack, in app, or by just installing Glen on any agent.

We’re building toward a future where memory is no longer the missing piece of intelligence. A future where every agent maintains a lossless and continuous thread of institutional experience enabling the era of the compounding organization and fully unsupervised digital labour.

主題

Generative AIB2BAIProductivity
所在地
舊金山, CA, 美國
團隊規模
1 名員工
YC 梯次
Summer 2026
狀態
營運中
階段
早期階段

同類新創公司與競爭對手

常見問題

Glen 的總部在哪裡?

舊金山, CA, 美國

Glen 有多少員工?

根據公司簡介,共有 1 名員工。

Glen 是否獲得過融資?

我們的資料中沒有 Glen 的融資紀錄。

Glen 有哪些替代選擇?

類似的新創公司:Humand、Auctor和MixerBox。